(logo)
(navigation image)
Home American Libraries | Canadian Libraries | Universal Library | Open Source Books | Project Gutenberg | Biodiversity Heritage Library | Children's Library | Additional Collections

Search: Advanced Search

Anonymous User (login or join us)Upload
See other formats

Full text of "Elementary principles in statistical mechanics : developed with especial reference to the rational foundation of thermodynamics"

gale 'Bicentennial publication? 

ELEMENTARY PRINCIPLES IN 
STATISTICAL MECHANICS 



pale bicentennial publications 

With the approval if tbt Prindent and FcUmn 
of Tali Unrveriity, a stria of volumes has keen 
prepared by a number of the Pnfesson and In- 
structorsj to be issued in connection with the 
Bicentennial Anniversary^ as a partial indica- 
ttm of the character of the studies in wbicb the 
University teachers are engaged. 

This series of volumes is respectfully dedicated 4 

ff)r ^nurtures of tljr 



ELEMENTARY PRINCIPLES 



IN 



STATISTICAL MECHANICS 

DEVELOPED WITH ESPECIAL REFERENCE TO 

THE RATIONAL FOUNDATION OF 
THERMODYNAMICS 



BY 

J. WILLARD GIBBS 

Proftuor of Matktmatual Pkyrict in YaU University 




OF r 

UNIVERSITY 

OF 



NEW YORK : CHARLES SCRIBNER'S SONS 

LONDON: EDWARD ARNOLD 

1902 



A<> 
' 



Copyright, 1902, 
BY CHARLES SCRIBNER'S SONS 

Published, March, zgoz. 



UNIVERSITY PRESS JOHN WILSON 
AND SON CAMBRIDGE, U.S.A. 



PREFACE. 

THE usual point of view in the study of mechanics is that 
where the attention is mainly directed to the changes which 
take place in the course of time in a given system. The prin- 
cipal problem is the determination of the condition of the 
system with respect to. configuration and velocities at any 
required time, when its condition in these respects has been 
given for some one time, and the fundamental equations are 
those which express the changes continually taking place in 
the system. Inquiries of this kind are often simplified by 
taking into consideration conditions of the system other than 
those through which it actually passes or is supposed to pass, 
but our attention is not usually carried beyond conditions 
differing infinitesimally from those which are regarded as 
actual. 

For some purposes, however, it is desirable to take a broader 
view of the subject. We may imagine a great number of 
systems of the same nature, but differing in the configura- 
tions and velocities which they have at a given instant, and 
differing not merely infinitesimally, but it may be so as to 
embrace every conceivable combination of configuration and 
velocities. And here we may set the problem, not to follow 
a particular system through its succession of configurations, 
but to determine how the whole number of systems will be 
distributed among the various conceivable configurations and 
velocities at any required time, when the distribution has 
been given for some one time. The fundamental equation 
for this inquiry is that which gives the rate of change of the 
number of systems which fall within any infinitesimal limits 
of configuration and velocity. 



94203 



viii PREFACE. 

Such inquiries have been called by Maxwell statistical. 
They belong to a branch of mechanics which owes its origin to 
the desire to' explain the laws of thermodynamics on mechan- 
ical principles, and of which Clausius, Maxwell, and Boltz- 
mann are to be regarded as the principal founders. The first 
inquiries in this field were indeed somewhat narrower in their 
scope than that which has been mentioned, being applied to 
the particles of a system, rather than to independent systems. 
Statistical inquiries were next directed to the phases (or con- 
ditions with respect to configuration and velocity) which 
succeed one another in a given system in the course of time. 
The explicit consideration of a great number of systems and 
their distribution in phase, and of the permanence or alteration 
of this distribution in the course of time is perhaps first found 
in Boltzmann's paper on the " Zusammenhang zwischen den 
Satzen iiber das Verhalten mehratomiger Gasmolekiile mit 
Jacobi's Princip des letzten Multiplicators " (1871). 

But although, as a matter of history, statistical mechanics 
owes its origin to investigations in thermodynamics, it seems 
eminently worthy of an independent development, both on 
account of the elegance and simplicity of its principles, and 
because it yields new results and places old truths in a new 
light in departments quite outside of thermodynamics. More- 
over, the separate study of this branch of mechanics seems to 
afford the best foundation for the study of rational thermody- 
namics and molecular mechanics. 

The laws of thermodynamics, as empirically determined, 
express the approximate and probable behavior of systems of 
a great number of particles, or, more precisely, they express 
the laws of mechanics for such systems as they appear to 
beings who have not the fineness of perception to enable 
them to appreciate quantities of the order of magnitude of 
those which relate to single particles, and who cannot repeat 
their experiments often enough to obtain any but the most 
probable results. The laws of statistical mechanics apply to 
conservative systems of any number of degrees of freedom, 



PREFACE. i x 

and are exact. This does not make them more difficult to 
establish than the approximate laws for systems of a great 
many degrees of freedom, or for limited classes of such 
systems. The reverse is rather the case, for our attention is 
not diverted from what is essential by the peculiarities of the 
system considered, and we are not obliged to satisfy ourselves 
that the effect of the quantities and circumstances neglected 
will be negligible in the result. The laws of thermodynamics 
may be easily obtained from the principles of statistical me- 
chanics, of which they are the incomplete expression, but 
they make a somewhat blind guide in our search for those 
laws. This is perhaps the principal cause of the slow progress 
of rational thermodynamics, as contrasted with the rapid de- 
duction of the consequences of its laws as empirically estab- 
lished. To this must be added that the rational foundation 
of thermodynamics lay in a branch of mechanics of which 
the fundamental notions and principles, and the characteristic 
operations, were alike unfamiliar to students of mechanics. 

We may therefore confidently believe that nothing will 
more conduce to the clear apprehension of the relation of 
thermodynamics to rational mechanics, and to the interpreta- 
tion of observed phenomena with reference to their evidence 
respecting the molecular constitution of bodies, than the 
study of the fundamental notions and principles of that de- 
partment of mechanics to which thermodynamics is especially 
related. 

Moreover, we avoid the gravest difficulties when, giving up 
the attempt to frame hypotheses concerning the constitution 
of material bodies, we pursue statistical inquiries as a branch 
of rational mechanics. In the present state of science, it 
seems hardly possible to frame a dynamic theory of molecular 
action which shall embrace the phenomena of thermody- 
namics, of radiation, and of the electrical manifestations 
which accompany the union of atoms. Yet any theory is 
obviously inadequate which does not take account of all 
these phenomena. Even if we confine cur attention to the 



X PREFACE. 

phenomena distinctively thermodynamic, we do not escape 
difficulties in as simple a matter as the number of degrees 
of freedom of a diatomic gas. It is well known that while 
theory would assign to the gas six degrees of freedom per 
molecule, in our experiments on specific heat we cannot ac- 
count for more than five. Certainly, one is building on an 
insecure foundation, who rests his work on hypotheses con- 
cerning the constitution of matter. 

Difficulties of this kind have deterred the author from at- 
tempting to explain the mysteries of nature, and have forced 
him to be contented with the more modest aim of deducing 
some of the more obvious propositions relating to the statis- 
tical branch of mechanics. Here, there can be no mistake in 
regard to the agreement of the hypotheses with the facts of 
nature, for nothing is assumed in that respect. The only 
error into which one can fall, is the want of agreement be- 
tween the premises and the conclusions, and this, with care, 
one may hope, in the main, to avoid. 

The matter of the present volume consists in large measure 
of results which have been obtained by the investigators 
mentioned above, although the point of view and the arrange- 
ment may be different. These results, given to the public 
one by one in the order of their discovery, have necessarily, 
in their original presentation, not been arranged in the most 
logical manner. 

In the first chapter we consider the general problem which 
has been mentioned, and find what may be called the funda- 
mental equation of statistical mechanics. A particular case 
of this equation will give the condition of statistical equi- 
librium, i. e., the condition which the distribution of the 
systems in phase must satisfy in order that the distribution 
shall be permanent. In the general case, the fundamental 
equation admits an integration, which gives a principle which 
may be variously expressed, according to the point of view 
from which it is regarded, as the conservation of density-in- 
phase, or of extension-in-phase, or of probability of phase. 



PREFACE. xi 

In the second chapter, we apply this principle of conserva- 
tion of probability of phase to the theory of errors in the 
calculated phases of a system, when the determination of the 
arbitrary constants of the integral equations are subject to 
error. In this application, we do not go beyond the usual 
approximations. In other words, we combine the principle 
of conservation of probability of phase, which is exact, with 
those approximate relations, which it is customary to assume 
in the " theory of errors." 

In the third chapter we apply the principle of conservation 
of extension-in-phase to the integration of the differential 
equations of motion. This gives Jacobi's " last multiplier," 
as has been shown by Boltzmann. 

In the fourth and following chapters we return to the con- 
sideration of statistical equilibrium, and confine our attention 
to conservative systems. We consider especially ensembles 
of systems in which the index (or logarithm) of probability of 
phase is a linear function of the energy. This distribution, 
on account of its unique importance in the theory of statisti- 
cal equilibrium, I have ventured to call canonical, and the 
divisor of the energy, the modulus of distribution. The 
moduli of ensembles have properties analogous to temperature, 
in that equality of the moduli is a condition of equilibrium 
with respect to exchange of energy, when such exchange is 
made possible. 

We find a differential equation relating to average values 
in the ensemble which is identical in form with the funda- 
mental differential equation of thermodynamics, the average 
index of probability of phase, with change of sign, correspond- 
ing to entropy, and the modulus to temperature. 

For the average square of the anomalies of the energy, we 
find an expression which vanishes in comparison with the 
square of the average energy, when the number of degrees 
of freedom is indefinitely increased. An ensemble of systems 
in which the number of degrees of freedom is of the same 
order of magnitude as the number of molecules in the bodies 



xii PREFACE. 

with which we experiment, if distributed canonically, would 
therefore appear to human observation as an ensemble of 
systems in which all have the same energy. 

We meet with other quantities, in the development of the 
subject, which, when the number of degrees of freedom is 
very great, coincide sensibly with the modulus, and with the 
average index of probability, taken negatively, in a canonical 
ensemble, and which, therefore, may also be regarded as cor- 
responding to temperature and entropy. The correspondence 
is however imperfect, when the number of degrees of freedom 
is not very great, and there is nothing to recommend these 
quantities except that in definition they may be regarded as 
more simple than those which have been mentioned. In 
Chapter XIV, this subject of thermodynamic analogies is 
discussed somewhat at length. 

Finally, in Chapter XV, we consider the modification of 
the preceding results which is necessary when we consider 
systems composed of a number of entirely similar particles, 
or, it may be, of a number of particles of several kinds, all of 
each kind being entirely similar to each other, and when one 
of the variations to be considered is that of the numbers of 
the particles of the various kinds which are contained in a 
system. This supposition would naturally have been intro- 
duced earlier, if our object had been simply the expression of 
the laws of nature. It seemed desirable, however, to separate 
sharply the purely thermodynamic laws from those special 
modifications which belong rather to the theoiy of the prop- 
erties of matter. 

J. W. G. 

NEW HAVEN, December, 1901. 



CONTENTS. 



CHAPTER I. 

GENERAL NOTIONS. THE PRINCIPLE OF CONSERVATION 

OF EXTENSION-IN-PHASE. 

PAGE 

Hamilton's equations of motion 3-5 

Ensemble of systems distributed in phase 5 

Extension-in-phase, density-in-phase 6 

Fundamental equation of statistical mechanics 6-8 

Condition of statistical equilibrium 8 

Principle of conservation of density-in-phase 9 

Principle of conservation of extension-in-phase 10 

Analogy in hydrodynamics 11 

Extension-in-phase is an invariant 11-13 

Dimensions of extension-in-phase 13 

Various analytical expressions of the principle 13-15 

Coefficient and index of probability of phase 16 

Principle of conservation of probability of phase 17, 18 

Dimensions of coefficient of probability of phase 19 



CHAPTER II. 

APPLICATION OF THE PRINCIPLE OF CONSERVATION OF 
EXTENSION-IN-PHASE TO THE THEORY OF ERRORS. 

Approximate expression for the index of probability of phase . 20, 21 
Application of the principle of conservation of probability of phase 
to the constants of this expression 21-25 



CHAPTER III. 

APPLICATION OF THE PRINCIPLE OF CONSERVATION OF 
EXTENSION-IN-PHASE TO THE INTEGRATION OF THE 
DIFFERENTIAL EQUATIONS OF MOTION. 

Case in which the forces are function of the coordinates alone . 26-29 
Case in which the forces are functions of the coordinates with the 
time 30, 31 



xiv CONTENTS. 



CHAPTER IV. 

ON THE DISTRIBUTION-IN-PHASE CALLED CANONICAL, IN 
WHICH THE INDEX OF PROBABILITY IS A LINEAR 

FUNCTION OF THE ENERGY. 

PAGE 

Condition of statistical equilibrium 32 

Other conditions which the coefficient of probability must satisfy . 33 

"""" Canonical distribution Modulus of distribution 34 

^ must be finite 35 

The modulus of the canonical distribution has properties analogous 

to temperature 35-37 

Other distributions have similar properties 37 

Distribution in which the index of probability is a linear function of 

the energy and of the moments of momentum about three axes . 38, 39 
Case in which the forces are linear functions of the displacements, 

and the index is a. linear function of the separate energies relating 

to the normal types of motion 39-41 

Differential equation relating to average values in a canonical 

ensemble 42-44 

This is identical in form with the fundamental differential equation 

of thermodynamics 44, 45 

CHAPTER V. 

AVERAGE VALUES IN A CANONICAL ENSEMBLE OF SYS- 
TEMS. 
Case of v material points. Average value of kinetic energy of a 

single point for a given configuration or for the whole ensemble 

= f 46, 47 

Average value of total kinetic energy for any given configuration 

or for the whole ensemble = % v 47 

System of n degrees of freedom. Average value of kinetic energy, 

for any given configuration or for the whole ensemble = f . 48-50 

Second proof of the same proposition 50-52 

Distribution of canonical ensemble in configuration 52-54 

Ensembles canonically distributed in configuration 55 

Ensembles canonically distributed in velocity 56 

CHAPTER VI. 

EXTENSION1-IN-CONFIGURATION AND EXTENSION-TN- 
VELOCITY. 

Extension-in-configuration and extension-in-velocity are invari- 
ants . 57-59 



CONTENTS. XV 

PAGE 

Dimensions of these quantities 60 

Index and coefficient of probability of configuration 61 

Index and coefficient of probability of velocity 62 

Dimensions of these coefficients 63 

Relation between extension-in-configuration and extension-in-velocity 64 
Definitions of extension-in-phase, extension-in-configuration, and ex- 
tension-in- velocity, without explicit mention of coordinates . . 65-67 



CHAPTER VII. 

FARTHER DISCUSSION OF AVERAGES IN A CANONICAL 
ENSEMBLE OF SYSTEMS. 

Second and third differential equations relating to average values 

in a canonical ensemble 68, 69 

These are identical in form with thermodynamic equations enun- 
ciated by Clausius 69 

Average square of the anomaly of the energy of the kinetic en- 
ergy of the potential energy 70-72 

These anomalies are insensible to human observation and experi- 
ence when the number of degrees of freedom of the system is very 

great 73, 74 

Average values of powers of the energies 75-77 

Average values of powers of the anomalies of the energies . . 77-80 
Average values relating to forces exerted on external bodies . . 80-83 
General formulae relating to averages in a canonical ensemble . 83-86 



CHAPTER VIII. 

ON CERTAIN IMPORTANT FUNCTIONS OF THE ENERGIES 
OF A SYSTEM. 

Definitions. V = extension-in-phase below a limiting energy (e). 

$ = \odVldc 87,88 

V q = extension-in-configuration below a limiting value of the poten- 
tial energy (e ? ). fa = \o^dV q jd fq 89,90 

V p = extension-in-velocity below a limiting value of the kinetic energy 

(*). ^ p = lo S dV p jd p 90,91 

Evaluation of V p and $ p 91-93 

Average values of functions of the kinetic energy 94, 95 

Calculation of FfromF^ 95,96 

Approximate formulae for large values of n 97,98 

Calculation of V or < for whole system when given for parts ... 98 
Geometrical illustration . 99 



xvi CONTENTS. 

CHAPTER IX. 

THE FUNCTION </> AND THE CANONICAL DISTRIBUTION. 

When n > 2, the most probable value of the energy in a canonical 
ensemble is determined by d(j> j de = 1 / e 100,101 

When n > 2, the average value of d$ j de in a canonical ensemble 
isl/e 101 

When n is large, the value of < corresponding to d(f>/de=l/Q 
(<o) js nearly equivalent (except for an additive constant) to 
the average index of probability taken negatively ( fj) . . 101-104 

Approximate formulae for < + fj when n is large 104-106 

When n is large, the distribution of a canonical ensemble in energy 
follows approximately the law of errors 105 

This is not peculiar to the canonical distribution 107, 108 

Averages in a canonical ensemble 108-114 

CHAPTER X. 

ON A DISTRIBUTION IN PHASE CALLED MICROCANONI- 
CAL IN WHICH ALL THE SYSTEMS HAVE THE SAME 
ENERGY. 

The microcanonical distribution denned as the limiting distribution 
obtained by various processes 115, 116 

Average values in the microcanonical ensemble of functions of the 
kinetic and potential energies 117-120 

If two quantities have the same average values in every microcanon- 
ical ensemble, they have the same average value in every canon- 
ical ensemble 120 

Average values in the microcanonical ensemble of functions of the 
energies of parts of the system 121-123 

Average values of functions of the kinetic energy of a part of the 
system 123, 124 

Average values of the external forces in a microcanonical ensemble. 
Differential equation relating to these averages, having the form 
of the fundamental differential equation of thermodynamics . 124-128 

CHAPTER XI. 

MAXIMUM AND MINIMUM PROPERTIES OF VARIOUS DIS- 
TRIBUTIONS IN PHASE. 

Theorems I- VI. Minimum properties of certain distributions . 129-133 
Theorem VII. The average index of the whole system compared 
with the sum of the average indices of the parts 133-135 



CONTENTS. xvii 

PAGE 

Theorem VIII. The average index of the whole ensemble com- 
pared with the average indices of parts of the ensemble . . 135-137 
Theorem IX. Effect on the average index of making the distribu- 
tion-in-phase uniform within any limits 137-138 

CHAPTER XII. 

ON THE MOTION OF SYSTEMS AND ENSEMBLES OF SYS- 
TEMS THROUGH LONG PERIODS OF TIME. 

Under what conditions, and with what limitations, may we assume 
that a system will return in the course of time to its original 
phase, at least to any required degree of approximation? . . 139-142 

Tendency in an ensemble of isolated systems toward a state of sta- 
tistical equilibrium 143-151 

CHAPTER XIII. 

EFFECT OF VARIOUS PROCESSES ON AN ENSEMBLE OF 
SYSTEMS. 

Variation of the external coordinates can only cause a decrease in 
the average index of probability 152-154 

This decrease may in general be diminished by diminishing the 
rapidity of the change in the external coordinates .... 154-157 

The mutual action of two ensembles can only diminish the sum of 
their average indices of probability 158, 159 

In the mutual action of two ensembles which are canonically dis- 
tributed, that which has the greater modulus will lose energy . 160 

Repeated action between any ensemble and others which are canon- 
ically distributed with the same modulus will tend to distribute 
the first-mentioned ensemble canonically with the same modulus 161 

Process analogous to a Carnot's cycle 162,163 

Analogous processes in thermodynamics 163, 164 

CHAPTER XIV. 

DISCUSSION OF THERMODYNAMIC ANALOGIES. 

The finding in rational mechanics an a priori foundation forthermo- 
dynamics requires mechanical definitions of temperature and 
entropy. Conditions which the quantities thus defined must 
satisfy 165-167 

The modulus of a canonical ensemble (0), and the average index of 
probability taken negatively (rj), as analogues of temperature 
and entropy 167-169 



xviii CONTENTS. 

PAGE 

The functions of the energy del d log Fand log Fas analogues of 

temperature and entropy 169-172 

The functions of the energy de / cty and <p as analogues of tempera- 
ture and entropy 1 72-1 78 

Merits of the different systems 178-183 

If a system of a great number of degrees of freedom is microcanon- 
ically distributed in phase, any very small part of it may be re- 
garded as canonically distributed 183 

Units of and rj compared with those of temperature and 
entropy 183-186 

CHAPTER XV. 

SYSTEMS COMPOSED OF MOLECULES. 

Generic and specific definitions of a phase 187-189 

Statistical equilibrium with respect to phases generically defined 

and with respect to phases specifically defined 189 

Grand ensembles, petit ensembles 189,190 

Grand ensemble canonically distributed 190-193 

Q must be finite 193 

Equilibrium with respect to gain or loss of molecules .... 194-197 
Average value of any quantity in grand ensemble canonically dis- 
tributed 198 

Differential equation identical in form with fundamental differen- 
tial equation in thermodynamics 199, 200 

Average value of number of any kind of molecules (i>) . . . . 201 

Average value of (v-v)* 201,202 

Comparison of indices 203-206 

When the number of particles in a system is to be treated as 
variable, the average index of probability for phases generically 
defined corresponds to entropy 206 



ELEMENTARY PRINCIPLES IN 
STATISTICAL MECHANICS 



(( UNIVERSITY J 



ELEMENTARY PRINCIPLES IN 
STATISTICAL MECHANICS 



CHAPTER I. 

GENERAL NOTIONS. THE PRINCIPLE OF 
OF EXTENSION-IN-PHASE. 

WE shall use Hamilton's form of the equations of motion for 
a system of n degrees of freedom, writing q l , . . ,q n for the 
(generalized) coordinates, qi , . . . q n for the (generalized) ve- 
locities, and 

for the moment of the forces. We shall call the quantities 
F l9 ...F n the (generalized) forces, and the quantities p 1 . . . p n , 
defined by the equations 

Pl = ^- t p 2 = ^, etc., (2) 

dqi dq 2 

where e p denotes the kinetic energy of the system, the (gen- 
eralized) momenta. The kinetic energy is here regarded as 
a function of the velocities and coordinates. We shall usually 
regard it as a function of the momenta and coordinates,* 
and on this account we denote it by e p . This will not pre- 
vent us from occasionally using formulae like (2), where it is 
sufficiently evident the kinetic energy is regarded as function 
of the g's and ^'s. But in expressions like de p /dq 1 , where the 
denominator does not determine the question, the kinetic 

* The use of the momenta instead of the velocities as independent variables 
is the characteristic of Hamilton's method which gives his equations of motion 
their remarkable degree of simplicity. We shall find that the fundamental 
notions of statistical mechanics are most easily defined, and are expressed in 
the most simple form, when the momenta with the coordinates are used to 
describe the state of a system. 



4 HAMILTON'S EQUATIONS. 

energy is always to be treated in the differentiation as function 
of the p's and q*s. 
We have then 

* = ;fe* * l = -^ + Fl ' etc> (3) 

These equations will hold for any forces whatever. If the 
'fetces^ &i*e dptterVative, in other words, if the expression (1) 
j.s t an t exact differential, we may set 



where e q is a function of the coordinates which we shall call 
the potential energy of the system. If we write e for the 
total energy, we shall have 

e = P + e > (5) 

and equatipns (3) may be written 

*' = ;' * = -' etc - [I <> 

The potential energy (e 3 ) may depend on other variables 
beside the coordinates q 1 . . . q n . We shall often suppose it to 
depend in part on coordinates of external bodies, which we 
shall denote by a x , # 2 , etc. We shall then have for the com- 
plete value of the differential of the potential energy * 

de q = FI dq l . . F n dq n A 1 da^ A 2 da z etc., (7) 

where A^ A%, etc., represent forces (in the generalized sense) 
exerted by the system on external bodies. For the total energy 
(e) we shall have 

de=q l dp l . . . + q n dpn~Pidqi . . . 

p n dq n A l da-i A 2 da z etc. (8) 

It will be observed that the kinetic energy (e^,) in the 
most general case is a quadratic function of the p's (or g-'s) 

* It will be observed, that although we call e the potential energy of the 
system which we are considering, it is really so defined as to include that 
energy which might be described as mutual to that system and external 
bodies. 



ENSEMBLE OF SYSTEMS. 5 

v 

involving also the ^'s but not the a's ; that the potential energy, 
when it exists, is function of the <?'s and a's ; and that the 
total energy, when it exists, is function of the jt?'s (or ^s), the 
9's, and the a's. In expressions like dejdq^ them's, and not 
the q's, are to be taken as independent variables, as has already 
been stated with respect to the kinetic energy. 

Lev us imagine a great number of independent systems, 
identical in nature, but differing in phase, that is, in their 
condition with respect to configuration and velocity. The 
forces are supposed to be determined for every system by the 
same law, being functions of the coordinates of the system 
q 19 . . . q n , either alone or with the coordinates a 1? a 2 , etc. of 
certain external bodies. It is not necessary that they should 
be derivable from a force-function. The external coordinates 
a 15 a 2 , etc. may vary with the time, but at any given time 
have fixed values. In this they differ from the internal 
coordinates q 1 , . . . q n , which at the same time have different 
values in the different systems considered. 

Let us especially consider the number of systems which at a 
given instant fall within specified limits of phase, viz., those 
for which 

Pi <Pi< Pi", qi <qi< q", 




Pn <Pn< P", qn < q < 

the accented letters denoting constants. We shall suppose 
the differences p^' p{, q^ q^, etc. to be infinitesimal, and 
that the systems are distributed in phase in some continuous 
manner,* so that the number having phases within the limits 
specified may be represented by 

i') (?" - ?'), (10) 



* In strictness, a finite number of systems cannot be distributed contin- 
uously in phase. But by increasing indefinitely the number of systems, we 
may approximate to a continuous law of distribution, such as is here 
described. To avoid tedious circumlocution, language like the above may 
be allowed, although wanting in precision of expression, when the sense in 
which it is to be taken appears sufficiently clear. 



6 VARIATION OF THE 

or more briefly by 



. . . dp n dq l . . . dq n , (li) 

where D is a function of the p's and q's and in general of t alb 3, 

for as time goes on, and the individual systems change the\r 

phases, the distribution of the ensemble in phase will in gen- 

eral vary. In special cases, the distribution in phase will 

remain unchanged. These are cases of statistical equilibr turn. 

If we regard all possible phases as forming a sort oi exten- 

ision of 2 n dimensions, we may regard the product of differ- 

fentials in (11) as expressing an element of this extension, and 

\D as expressing the density of the systems in that element. 

We shall call the product 

dp l ... dp n dq lf . . dq n (12) 

an element of extensionrin-phase, and D the density-inr-phase 
of the systems. 

It is evident that the changes which take place in the den- 
sity of the systems in any given element of extension-in- 
phase will depend on" the dynamical nature of the systems 
and their distribution in phase at the time considered. 

In the case of conservative systems, with which we shall be 
principally concerned, their dynamical nature is completely 
determined by the function which expresses the energy (e) in 
terms of the |?'s, <?'s, and a's (a function supposed identical 
for all the systems) ; in the more general case which we are 
considering, the dynamical nature of the systems is deter- 
mined by the functions which express the kinetic energy (e p ) 
in terms of the p's and <?'s, and the forces in terms of the 
<?'s and 's. The distribution in phase is expressed for the 
time considered by D as function of the p's and q's. To find 
the value of dD/dt for the specified element of extension-in- 
phase, we observe that the number of systems within the 
limits can only be varied by systems passing the limits, which 
may take place in 4 n different ways, viz., by the p l of a sys- 
tem passing the limit p^, or the limit p/', or by the q l of a 
system passing the limit q^ or the limit <?/', etc. Let us 
consider these cases separately. 



DENSITY-IN-PHASE. 1 

In the first place, let us consider the number of systems 
which in the time dt pass into or out of the specified element 
by p l passing the limit p^. It will be convenient, and it is 
evidently allowable, to suppose dt so small that the quantities 
^ dt, q l dt, etc., which represent the increments of p l , q l , etc., 
in the time dt shall be infinitely small in comparison with 
the infinitesimal differences p p^, q r <?/, etc., which de- 
termine the magnitude of the element of extension-in-phase. 
The systems for which p l passes the limit p^ in the interval 
dt are those for which at the commencement of this interval 
the value of p 1 lies between p^ and p^ p dt, as is evident 
if we consider separately the cases in which p l is positive and 
negative. Those systems for which p 1 lies between these 
limits, and the other p's and j's between the limits specified in 
(9), will therefore pass into or out of the element considered 
according aH^t? is positive or negative, unless indeed they also 
pass some other limit specified in (9) during the same inter- 

^val of time. But the number which pass any two of these 
limits will be represented by an expression containing the 
square of dt as a factor, and is evidently negligible, when dt 

1 is sufficiently small, compared with the number which we are 
seeking to evaluate, and which (with neglect of terms contain- 
ing dt 2 ) may be found by substituting p l dt for p^' p^ in 
(10) or for dp 1 in (11). 
The expression 

Dpi dt dp z . . . dp n dqi . . . dq n (13) 

will therefore represent, according as it is positive or negative, 
the increase or decrease of the number of systems within the 
given limits which is due to systems passing the limit p^. A 
similar expression, in which however D and p will have 
slightly different values (being determined for p^' instead of 
Pi), will represent the decrease or increase of the number of 
systems due to the passing of the limit p^'. The difference 
of the two expressions, or 



dpi . . . dp n dqi . . . dq n dt (14) 



8 CONSERVATION OF 

will represent algebraically the decrease of the number of 
systems within the limits due to systems passing the limits p^ 
and PI'. 

The decrease in the number of systems within the limits 
due to systems passing the limits q and <?/' may be found in 
the same way. This will give 




for the decrease due to passing the four limits p, p^", <?/, q^'. 
But since the equations of motion (3) give 

^ + ^ = 0, (16) 

dpi dq l 

the expression reduces to 

(dD dD \ 
d^ pi + d^ ?i ) * * dyi *-* (17) 

If we prefix 2 to denote summation relative to the suffixes 
1 ... n, we get the total decrease in the number of systems 
within the limits in the time dt. That is, 

T~ i* 

-dDd Pl ... dp n d Sl ... dq n , (18) 



d~ ^ ) dpl ' ' ' d d ' " d dt ~ 



or 

where the suffix applied to the differential coefficient indicates 
that the JP'S and <?'s are to be regarded as constant in the differ- 
entiation. The condition of statistical equilibrium is therefore 



If at any instant this condition is fulfilled for all values of the 
p's and <?'s, (dD/dt} ptg vanishes, and therefore the condition 
will continue to hold, and the distribution in phase will be 
permanent, so long as the external coordinates remain constant. 
But the statistical equilibrium would in general be disturbed 
by a change in the values of the external coordinates, which 



DENSITY-IN-PHASE. 9 

would alter the values of tlie jt?'s as determined by equations 
(3), and thus disturb the relation expressed in the last equation. 
If we write equation (19) in the form 



it will be seen to express a theorem of remarkable simplicity. 
Since D is a function of t, p l , . . . p n , q l , . . . q n , its complete 
differential will consist of parts due to the variations of all 
these quantities. Now the first term of the equation repre- 
sents the increment of D due to an increment of t (with con- 
stant values of them's and ^'s), and the rest of the first member 
represents the increments of D due to increments of the p's 
and g's, expressed by p l dt, q l dt, etc. But these are precisely 
the increments which the jt?'s and #'s receive in the movement 
of a system in the tune dt. The whole expression represents 
the total increment of D for the varying phase of a moving 
system. We have therefore the theorem : 

In an ensemble of mechanical systems identical in nature and 
subject to forces determined by identical laws, but distributed 
in phase in any continuous manner, the density-in-phase is 
constant in time for the varying phases of a moving system ; 
provided, that the forces of a system are functions of its co- 
ordinates, either alone or with the time.* 

This may be called the principle of conservation of density- 
in-phase. It may also be written 

(fL.,=- 



where a, . . . h represent the arbitrary constants of the integral 
equations of motion, and are suffixed to the differential co- 

* The condition that the forces F lt ...F n are functions of q 1 , . . . q n and 
a lf a 2 , etc., which last are functions of the time, is analytically equivalent 
to the condition that F lf . . . F n are functions of qi, ...q n and the time. 
Explicit mention of the external coordinates, a 1? 2 , etc., has been made in 
the preceding pages, because our purpose will require us hereafter to con- 
sider these coordinates and the connected forces, A lt A 2 , etc., which repre- 
sent the action of the systems on external bodies. 



10 CONSERVATION OF 

efficient to indicate that they are to be regarded as constant 
in the differentiation. 

We may give to this principle a slightly different expres- 
sion. Let us call the value of the integral 



JT. 



.dp n d qi ... dq n (23) 



taken within any limits the extension-in-phase within those 
limits. 

When the phases bounding an extension-in-phase vary in 
the course of time according to the dynamical laws of a system 
subject to forces which are functions of the coordinates either 
alone or with the time, the value of the extension-in-phase thus 
bounded remains constant. In this form the principle may be 
called the principle of conservation of extension-in-phase. In 
some respects this may be regarded as the most simple state- 
ment of the principle, since it contains no explicit reference 
to an ensemble of systems. 

Since any extension-in-phase may be divided into infinitesi- 
mal .portions, it is only necessary to prove the principle for 
an infinitely small extension. The number of systems of an 
ensemble which fall within the extension will be represented 
by the integral 



/ . . . / D dp! . . . dp 



If the extension is infinitely small, we may regard D as con- 
stant in the extension and write 

D I . . . I dp l . . . dp n dq^ . . . dq n 

for the number of systems. The value of this expression must 
be constant in time, since no systems are supposed to be 
created or destroyed, and none can pass the limits, because 
the motion of the limits is identical with that of the systems. 
But we have seen that D is constant in time, and therefore 
the integral 

I . . . / fa . . . dp n dq l . . . dq n , 



EXTENSION-IN-PHASE. 11 

which we have called the extension-in-phase, is also constant 
in time.* 

Since the system of coordinates employed in the foregoing 
discussion is entirely arbitrary, the values of the coordinates 
relating to any configuration and its immediate vicinity do 
not impose any restriction upon the values relating to other 
configurations. The fact that the quantity which we have 
called density-in-phase is constant in time for any given sys- 
tem, implies therefore that its value is independent of the 
coordinates which are used in its evaluation. For let the 
density-in-phase as evaluated for the same time and phase by 
one system of coordinates be DI, and by another system -Z> 2 '. 
A system which at that time has that phase will at another 
time have another phase. Let the density as calculated for 
this second time and phase by a third system of coordinates 
be Zy. Now we may imagine a system of coordinates which 
at and near the first configuration will coincide with the first 
system of coordinates, and at and near the second configuration 
will coincide with the third system of coordinates. This will 
give Dj' ^Y'- Again we may imagine a system of coordi- 
nates which at and near the first configuration will coincide 
with the second system of coordinates, and at and near the 

* If we regard a phase as represented by a point in space of 2 n dimen- 
sions, the changes which take place in the course of time in our ensemble of 
systems will be represented by a current in such space. This current will 
be steady so long as the external coordinates are not varied. In any case 
the current will satisfy a law which in its various expressions is analogous 
to the hydrodynamic law which may be expressed by the phrases conserva- 
tion of volumes or conservation of density about a moving point, or by the equation 



The analogue in statistical mechanics of this equation, viz., 



may be derived directly from equations (3) or (6), and may suggest such 
theorems as have been enunciated, if indeed it is not regarded as making 
them intuitively evident. The somewhat lengthy demonstrations given 
above will at least serve to give precision to the notions involved, and 
familiarity with their use. 



12 EXTENSION-IN-PHASE 

second configuration will coincide with the third system of 
coordinates. This will give D% = D s ". We have therefore 
2V = 2>J. 

It follows, or it may be proved in the same way, that the 
value of an extension-in-phase is independent of the system 
of coordinates which is used in its evaluation. This may 
easily be verified directly. If g 1 ^ . . ,q n ^ Q lt . . . Q n are two 
systems of coordinates, and Pi, p n > P\i - P n the cor- 
responding momenta, we have to prove that 

J'...Jdp 1 ...dp n d qi ...d qn =j*...fdP l ...dP n dQ 1 ...dQ n ,(2) 

when the multiple integrals are taken within limits consisting 
of the same phases. And this will be evident from the prin- 
ciple on which we change the variables in a multiple integral, 
if we prove that 

. . P., ft, . . . ft) = 1 

>P n >2i, - 2V) 

where the first member of the equation represents a Jacobian 
or functional determinant. Since all its elements of the form 
dQ/dp are equal to zero, the determinant reduces to a product 
of two, and we have to prove that 



d(Q l9 






We may transform any element of the first of these deter- 
minants as follows. By equations (2) and (3), and in 
view of the fact that the (j's are linear functions of the <?'s 
and therefore of the _p's, with coefficients involving the <?'s, 
so that a differential coefficient of the form dQ r /dp y is function 
of the <?'s alone, we get * 

* The form of the equation 

d de p _ d df p 
dp y dQ x dQx dp v 

in (27) reminds us of the fundamental identity in the differential calculus 
relating to the order of differentiation with respect to independent variables. 
But it will be observed that here the variables Qx and p y are not independent 
and that the proof depends on the linear relation between the Q's and the p's. 



IS AN INVARIANT. 13 



r dQ x dp y 

^^ n /^dQ L \ = _d_de, == d^ 
dQ x r^i W& %J d& cZft, d& ' 



But since f' 

r i \ a (j/ r / 

d -k = ^. (28) 

*& ^0. 

Therefore, 

...g n ) 



... Q n ) 
The equation to be proved is thus reduced to 



which is easily proved by the ordinary rule for the multiplica- 
tion of determinants. 

The numerical value of an extension-in-phase will however 
depend on the units in which we measure energy and time. 
For a product of the form dp dq has the dimensions of energy 
multiplied by time, as appears from equation (2), by which 
the momenta are defined. Hence an extension-in-phase has 
the dimensions of the nth power of the product of energy 
and time. In other words, it has the dimensions of the nth 
power of action, as the term is used in the ' principle of Least 
Action.' 

If we distinguish by accents the values of the momenta 
and coordinates which belong to a time ?, the unaccented 
letters relating to the time , the principle of the conserva- 
tion of extension-in-phase may be written v * < 

//" /* /% 

... I dpi . . . dp n dqi . . . dq n = I ... I dpj . . . dp n f dqi r . . , dq n ' } (31) 
*J *J *J 

or more briefly 

r r r 

>! 7 . . . dq^ (32) 



14 CONSERVATION OF 

the limiting phases being those which belong to the same 
systems at the times t and If respectively. But we have 
identically 



/.../*,..., ,-/.. 



for such limits. The principle of conservation of extension-in- 
phase may therefore be expressed in the form 

g) -, xooN 

..g.9 = 1 ' 

This equation is easily proved directly. For we have 
identically 

d( Pl ,...q n ) _ d( Pl ,...q n ) 



g.'O <*(M g.O ' 

where the double accents distinguish the values of the momenta 
and coordinates for a time if'. If we vary t, while if and t" 
remain constant, we have 

d_ d( Pl , ...q n ) _ d( Pl " 9 . . . q n ") d_ d( Pl , ...q n ) 



Now since the time if' is entirely arbitrary, nothing prevents 
us from making if 1 identical with t at the moment considered. 
Then the determinant 



- ?") 

will have unity for each of the elements on the principal 
diagonal, and zero for all the other elements. Since every 
term of the determinant except the product of the elements 
on the principal diagonal will have two zero factors, the differen- 
tial of the determinant will reduce to that of the product of 
these elements, i. e., to the sum of the differentials of these 
elements. This gives the equation 

d 



_. 
dt d(pj>, . . . q n ) dp," ' dp n " dqj* ' dq n 

Now since t = t" , the double accents in the second member 
of this equation may evidently be neglected. This will give, 
in virtue of such relations as (16), 



EXTENSION-IN-PHASE. 15 

d d(p lt ... 



dtd( Pl ,...y n ") 

which substituted in (34) will give 
d 



_ 
- 



... n _ 

dtd( Pl ',...q n ') 

The determinant in this equation is therefore a constant, the 
value of which may be determined at the instant when t = ', 
when it is evidently unity. Equation (33) is therefore 
demonstrated. 

Again, if we write a, ... h for a system of 2 n arbitrary con- 
stants of the integral equations of motion, p v q v etc. will be 
functions of. a, ... h, and t, and we may express an extension- 
in-phase in the form 



/rd(p 
"V *(< 



,, ^|T da - - dh - ( 35 > 

d(a, ...h) 

If we suppose the limits specified by values of a, . . . ^, a 
system initially at the limits will remain at the limits. 
The principle of conservation of extension-in-phase requires 
that an extension thus bounded shall have a constant value. 
This requires that the determinant under the integral sign 
shall be constant, which may be written 



... n 
dt d(a,...h) = * (36) 

This equation, which may be regarded as expressing the prin- 
ciple of conservation of extension-in-phase, may be derived 
directly from the identity 

gj <*(pi, ...g n ) d(pi', . . . q n r ) 



d(a, ...h) ' d(p l f , . . . q n ') d(a, ... h) 
in connection with equation (33). 

Since the coordinates and momenta are functions of a, ... . h, 
and t, the determinant in (36) must be a function of the same 
variables, and since it does not vary with the time, it must 
be a function of a, ... h alone. We have therefore 

...*). ' (37) 



16 CONSERVATION OF 

It is the relative numbers of systems which fall within dif- 
ferent limits, rather than the absolute numbers, with which we 
are most concerned. It is indeed only with regard to relative 
numbers that such discussions as the preceding will apply 
with literal precision, since the nature of our reasoning implies 
that the number of systems in the smallest element of space 
which we consider is very great. This is evidently inconsist- 
ent with a finite value of the total number of systems, or of 
the density-in-phase. Now if the value of D is infinite, we 
cannot speak of any definite number of systems within any 
finite limits, since all such numbers are infinite. But the 
ratios of these infinite numbers may be perfectly definite. If 
we write -ZVfor the total number of systems, and set 

r = %. (38) 

P may remain finite, when JV* and D become infinite. The 
integral 

" * ... dq n (39) 



taken within any given limits, will evidently express the ratio 
of the number of systems falling within those limits to the 
whole number of systems. This is the same thing as the 
probability that an unspecified system of the ensemble (i. e. 
one of which we only know that it belongs to the ensemble) 
will lie within the given limits. The product 

Pd Pl ...dq n (40) 

expresses the probability that an unspecified system of the 
ensemble will be found in the element of extension-in-phase 
dpi . . . dq n . We shall call P the coefficient of probability of the 
phase considered. Its natural logarithm we shall call the 
index of probability of the phase, and denote it by the letter 77. 
If we substitute NP and Ne 1 for D in equation (19), we get 



and 



PROBABILITY OF PHASE. 17 

The condition of statistical equilibrium may be expressed 
by equating to zero the second member of either of these 
equations. 

The same substitutions in (22) give 

.,=' (43) 

(IX.... =- (44) 

That is, the values of P and rj, like those of D, are constant 
in time for moving systems of the ensemble. From this point 
of view, the principle which otherwise regarded has been 
called the principle of conservation of density-in-phase or 
conservation of extension-in-phase, may be called the prin- 
ciple of conservation of the coefficient (or index) of proba- 
bility of a phase varying according to dynamical laws, or 
more briefly, the principle of conservation of probability of 
phase. It is subject to the limitation that the forces must be 
functions of the coordinates of the system either alone or with 
the time. 

The application of this principle is not limited to cases in 
which there is a formal and explicit reference to an ensemble of 
systems. Yet the conception of such an ensemble may serve 
to give precision to notions of probability. It is in fact cus- 
tomary in the discussion of probabilities to describe anything 
which is imperfectly known as something taken at random 
from a great number of things which are completely described. 
But if we prefer to avoid any reference to an ensemble 
of systems, we may observe that the probability that the 
phase of a system falls within certain limits at a certain time, 
is equal to the probability that at some other time the phase 
will fall within the limits formed by phases corresponding to 
the first. For either occurrence necessitates the other. That 
is, if we write P' for the coefficient of probability of the 
phase pi, q n ' at the time ^, and P" for that of the phase 
jp/', . . . q n " at the time tf', 

2 



18 CONSERVATION OF 

J. . . JV dtf . . . dqj =f. . . Jp" dp{' . . . dq n ", (45) 

where the limits in the two cases are formed by corresponding 
phases. When the integrations cover infinitely small vari- 
ations of the momenta and coordinates, we may regard P* and 
P" as constant in the integrations and write 



P'f. . .fd Pl > <%" = 



Now the principle of the conservation of extension-in-phase, 
which has been proved (viz., in the second demonstration given 
above) independently of any reference to an ensemble of 
systems, requires that the values of the multiple integrals in 
this equation shall be equal. This gives 

P 1 ' = P f . 

With reference to an important class of cases this principle 
may be enunciated as follows. 

When the differential equations of motion are exactly known, 
but the constants of the integral equations imperfectly deter- 
mined, the coefficient of probability of any phase at any time is 
equal to the coefficient of probability of the corresponding phase 
at any other time. By corresponding phases are meant those 
which are calculated for different times from the same values 
of the arbitrary constants of the integral equations. 

Since the sum of the probabilities of all possible cases is 
necessarily unity, it is evident that we must have 

all 

f...fpd Pl ...dq n = l, (46) 

phases 

where the integration extends over all phases. This is indeed 
only a different form of the equation 

811 



phases 

which we may regard as defining 



PROBABILITY OF PHASE. 19 

The values of the coefficient and index of probability of 
phase, like that of the density-in-phase, are independent of the 
system of coordinates which is employed to express the distri- 
bution in phase of a given ensemble. 

In dimensions, the coefficient of probability is the reciprocal 
of an extension-in-phase, that is, the reciprocal of the nth 
power of the product of time and energy. The index of prob- 
ability is therefore affected by an additive constant when we 
change our units of time and energy. If the unit of time is 
multiplied by c t and the unit of energy is multiplied by c e , all 
indices of probability relating to systems of n degrees of 

freedom will be increased by the addition of 

"-- 
n log c t + n log c . (47) 



CHAPTER II. 

APPLICATION OF THE PRINCIPLE OF CONSERVATION 

OF EXTENSION-IN-PHASE TO THE THEORY 

OF ERRORS. 

LET us now proceed to combine the principle which has been 
demonstrated in the preceding chapter and which in its differ- 
ent applications and regarded from different points of view 
has been variously designated as the conservation of density- 
in-phase, or of extension-in-phase, or of probability of phase, 
with those approximate relations which are generally used in 
the 'theory of errors.' 

We suppose that the differential equations of the motion of 
a system are exactly known, but that the constants of the 
integral equations are only approximately determined. It is 
evident that the probability that the momenta and coordinates 
at the time t' fall between the limits pj and pj + dp^ q^ and 
q-L + dq^ etc., may be expressed by the formula 

e* d Pl ' . . . dqj, (48) 

where rf (the index of probability for the phase in question) is 
a function of the coordinates and momenta and of the time. 

Let Qi, P^t etc. be the values of the coordinates and momenta 
which give the maximum value to ?/, and let the general 
value of rj be developed by Taylor's theorem according to 
ascending powers and products of the differences p^ P/, 
Q.I ~ Ci' Q te"> an( i let us suppose that we have a sufficient 
approximation without going beyond terms of the second 
degree in these differences. We may therefore set 

n' = c F', (49) 

where c is independent of the differences p^ P/, q{ /, 
etc., and F 1 is a homogeneous quadratic function of these 



THEORY OF ERRORS. 21 

differences. The terms of the first degree vanish in virtue 
of the maximum condition, which also requires that F' must 
have a positive value except when all the differences men- 
tioned vanish. If we set 

0=ef, (50) 

we may write for the probability that the phase lies within 
the limits considered 



d Pl > . . . dqj. (51) 

C is evidently the maximum value of the coefficient of proba- 
bility at the time considered. 

In regard to the degree of approximation represented by 
these formulae, it is to be observed that we suppose, as is 
usual in the 'theory of errors/ that the determination (ex- 
plicit or implicit) of the constants of motion is of such 
precision that the coefficient of probability e* or Ce~ F ' is 
practically zero except for very small values of the differences 
Pi P 1 / , q^ Ci'> e ^ c< For very small values of these 
differences the approximation is evidently in general sufficient, 
for larger values of these differences the value of Ce~ F ' will 
be sensibly zero, as it should be, and in this sense the formula 
will represent the facts. 

We shall suppose that the forces to which the system is 
subject are functions of the coordinates either alone or with 
the time. The principle of conservation of probability of 
phase will therefore apply, which requires that at any other 
time (t") the maximum value of the coefficient of probability 
shall be the same as at the time t\ and that the phase 
(Pi', Qi'-) etc.) which has this greatest probability-coefficient, 
shall be that which corresponds to the phase (P/, -/, etc.), 
i. e., which is calculated from the same values of the constants 
of the integral equations of motion. 

We may therefore write for the probability that the phase 
at the time t" falls within the limits p^ 1 and p : " + dp^ #/' 
and #/' + cfy/', etc., 

" dpi" ...dqj', (52) 



CONSERVATION OF+EXTENSION-IN-PHASE 

where C represents the same value as in the preceding 
formula, viz., the constant value of the maximum coefficient 
of probability, and F n is a quadratic function of the differences 
Pi ~ p i"> <?i" - Ci", etc., the phase (P x ", QJ' etc.) being that 
which at the time t" corresponds to the phase (P/, #/, etc.) 
at the tune t'. 

Now we have necessarily 



J*. . . 



&>i" . . . d" = 1, (53) 

when the integration is extended over all possible phases. 
It will be allowable to set oo for the limits of all the coor- 
dinates and momenta, not because these values represent the 
actual limits of possible phases, but because the portions of 
the integrals lying outside of the limits of all possible phases 
will have sensibly the value zero. With oo for limits, the 
equation gives 



l, (64) 

Vf Vf" 

where/' is the discriminant * of F 1 , and/" that of F". This 
discriminant is therefore constant in time, and like C an abso- 
lute invariant hi respect to the system of coordinates which 
may be employed. In dimensions, like (7 2 , it is the reciprocal 
of the 2nth power of the product of energy and time. 

Let us see precisely how the functions F' and F' f are related. 
The principle of the conservation of the probability-coefficient 
requires that any values of the coordinates and momenta at the 
time t f shall give the function F' the same value as the corre- 
_ sponding coordinates and momenta at the time t n give to F". 
Therefore F n may be derived from F' by substituting for 
Pi* - 9.n their values in terms of p^', . . . <?/'. Now we 
have approximately 

* This term is used to denote the determinant having for elements on the 
principal diagonal the coefficients of the squares in the quadratic function 
F', and for its other elements the halves of the coefficients of the products 
inF'. 



AND THEORY OF ERRORS. 23 



...+i^ (?."-<?."), 



(55) 



and as in IF" terms of higher degree than the second are to be 
neglected, these equations may be considered accurate for the 
purpose of the transformation required. Since by equation 
(33) the eliminant of these equations has the value unity, 
the discriminant of F" will be equal to that of F 1 , as has 
already appeared from the consideration of the principle of 
conservation of probability of phase, which is, in fact, essen- 
tially the same as that expressed by equation (33). 
At the time t\ the phases satisfying the equation 

F' = k, (56) 

where 7c is any positive constant, have the probability-coeffi- 
cient C e~ k . At the time tf", the corresponding phases satisfy 
the equation 

F" = k 9 (57) 

and have the same probability-coefficient. So also the phases 
within the limits given by one or the other of these equations 
are corresponding phases, and have probability-coefficients 
greater than C ' e~ k , while phases without these limits have less 
probability-coefficients. The probability that the phase at 
the time t f falls within the limits F' Jc is the same as the 
probability that it falls within the limits F" = k at the time t", 
since either event necessitates the other. This probability 
may be evaluated as follows. We may omit the accents, as 
we need only consider a single time. Let us denote the ex- 
tension-in-phase within the limits F = k by Z7, and the prob- 
ability that the phase falls within these limits by R, also the 
extension-in-phase within the limits F = 1 by U r We have 
then by definition 

F=k 

l ...dq n , (58) 



24 CONSERVATION OF EXTENSION-IN-PHASE 
Fk 



F=l 



But since F is a homogeneous quadratic function of the 
differences 

we have identically 

F=k 

rt 

d(pi -Pi) . . . d(q n - Q n ) 
kF=k 

rwy&i 

F=l 

-Pj...d(<!.-Q 1 ). 

That is U=k n U l} (61) 

whence dU= U 1 nk n ~ l dk. (62) 

But if k varies, equations (58) and (59) give 

F=k-\-dk 

dU = I . . . I dpi . . . dq n (63) 

F=k 

F=k+dk 

F=k 

Since the factor Oe~ F has the constant value Ce~ k in the 
last multiple integral, we have 

dR = C e~ k d U = C Ui n e~ k k n ~ l dk, (65) 

n e -k (\ + & + + . . . + N + const. (66) 

We may determine the constant of integration by the condition 
that R vanishes with k. This gives 



AND THEORY OF ERRORS. 25 



(67) 



R = C Z7i ]n - C U^ \n e~ k fl + k + ~ + . . . + r^jY 

We may determine the value of the constant U^ by the con- 
dition that R = 1 for k = oo. This gives (7 7^ jw == 1, and 

K = l _ e - k (l + A; + ^ . . . + [^ZTfV W 

^ 

(69) 



It is worthy of notice that the form of these equations de- 
pends only on the number of degrees of freedom of the system, 
being in other respects independent of its dynamical nature, 
except that the forces must be functions of the coordinates 
either alone or with the time. 

If we write 

** 

for the value of k which substituted in equation (68) will give 
R = 1, the phases determined by the equation 

F--=k B= i (70) 

will have the following properties. 

The probability that the phase falls within the limits formed 
by these phases is greater than the probability that it falls 
within any other limits enclosing an equal extension-in-phase. 
It is equal to the probability that the phase falls without the 
same limits. 

These properties are analogous to those which in the theory 
of errors in the determination of a single quantity belong to 
values expressed by A a, when A is the most probable 
value, and a the 'probable error.' 



CHAPTER III. 

APPLICATION OF THE PRINCIPLE OF CONSERVATION OF 
EXTENSION-IN-PHASE TO THE INTEGRATION OF THE 
DIFFERENTIAL EQUATIONS OF MOTION.* 

WE have seen that the principle of conservation of exten- 
sion-in-phase may be expressed as a differential relation be- 
tween the coordinates and momenta and the arbitrary constants 
of the integral equations of motion. Now the integration of 
the differential equations of motion consists in the determina- 
tion of these constants as functions of the coordinates' and 
momenta with the time, and the relation afforded by the prin- 
ciple of conservation of extension-in-phase may assist us in 
this determination. 

It will be convenient to have a notation which shall not dis- 
tinguish between the coordinates and momenta. If we write 
r x . . . r 2n for the coordinates and momenta, and a ... h as be- 
fore for the arbitrary constants, the principle of which we 
wish to avail ourselves, and which is expressed by equation 
(37), may be written 



,...*). (71) 

Let us first consider the case in which the forces are deter- 
mined by the coordinates alone. Whether the forces are 
' conservative ' or not is immaterial. Since the differential 
equations of motion do not contain the time (t) in the finite 
form, if we eliminate dt from these equations, we obtain 2^ 1 
equations in r l , . . . r 2n and their differentials, the integration 
of which will introduce 2 n 1 arbitrary constants which we 
shall call b ... h. If we can effect these integrations, the 

* See Boltzmann: " Zusammenhang zwischen den Satzen iiber das Ver- 
halten mehratomiger Gasmoleciile mit Jacobi's Princip des letzten Multi- 
plicators. Sitzb. der Wiener Akad.,Bd. LXIII, Abth. II., S. 679, (1871). 



THEORY OF INTEGRATION. 27 

remaining constant (a) will then be introduced in the final 
integration, (viz., that of an equation containing dt,} and will 
be added to or subtracted from t in the integral equation. 
Let us have it subtracted from t. It is evident then that 



Moreover, since 5, ... h and t a are independent functions 
of r l , . . . r 2n , the latter variables are functions of the former. 
The Jacobian in (71) is therefore function of 6, . . . ^, and 
t a, and since it does not vary with t it cannot vary with #. 
We have therefore in the case considered, viz., where the 
forces are functions of the coordinates alone, 



Now let us suppose that of the first 2 n 1 integrations we 
have accomplished all but one, determining 2 n 2 arbitrary 
constants (say c?, ... h) as functions of r^ , . . . r 2n , leaving b as 
well as a to be determined. Our 2 w 2 finite equations en- 
able us to regard all the variables r^ , . . . r 2n , and all functions 
of these variables as functions of two of them, (say r l and r 2 ,) 
with the arbitrary constants <?,... h. To determine 5, we 
have the following equations for constant values of <?, ... h. 



u-/ 2 ~~; ** T ~77~ t * v * 

da db 

df^i , r 2 ) c?7* 2 7 dTi . . 

whence -^7 TT- db ^- dr^-\- -= r 2 . (74) 

d(a, 6) c?a c?a 

Now, by the ordinary formula for the change of variables, 



= r 

J 



zn ) 



a ^ 



28 CONSERVATION OF EXTENSION-IN-PHASE 

where the limits of the multiple integrals are formed by the 
same phases. Hence 

d(ri,r z ) d(r^ ...r Zn ) d(c, ... h) 
d(a,b) " d(a,...h) d(r 99 ...rj 

With the aid of this equation, which is an identity, and (72), 
we may write equation (74) hi the form 



The separation of the variables is now easy. The differen- 
tial equations of motion give r l and r z in terms of 'r^ , . . . r 2n . 
The integral equations already obtained give <?,... h and 
therefore the Jacobian d(c, . . . A)/c?(r 3 , . . . r 2n ), in terms of 
the same variables. But in virtue of these same integral 
equations, we may regard functions of r 19 . . . r 2n as functions 
of r l and r% with the constants c, . . . h. If therefore we write 
the equation in the form 

d(ri, . . .r 2n ) _ r 2 r i , 

' ~ **- ..h) dr *> (77) 



d(r s , ..r 2n ) d(r 8 , . . . r 2n ) 

the coefficients of dr l and dr% may be regarded as known func- 
tions of r x and r 2 with the constants <?,... h. The coefficient 
of db is by (73) a function of 6, . . . h. It is not indeed a 
known function of these quantities, but since <?,... h are 
regarded as constant in the equation, we know that the first 
member must represent the differential of some function of 
5, ... A, for which we may write b'. We have thus 

db ' = r * dr ~ ..h) dr *> (78) 



d(r 8 , . ..r an ) d(r 8 , ...r 2n ) 

which may be integrated by quadratures and gives V as func- 
tions of r 1? r 2 , ...<?,... A, and thus as function of r 1? . . . r 2n . 
This integration gives us the last of the arbitrary constants 
which are functions of the coordinates and momenta without 
the time. The final integration, which introduces the remain- 



AND THEORY OF INTEGRATION. 29 

ing constant (a), is also a quadrature, since the equation to 
be integrated may be expressed in the form 



Now, apart from any uch considerations as have been ad- 
duced, if we limit ourselves to the changes which take place 
in time, we have identically 

r 2 dr r^ dr z = 0, 

and r and r 2 are given in terms of r v . . . r 2n by the differential 
equations of motion. When we have obtained 2 n 2 integral 
equations, we may regard r 2 and r^ as known functions of r l 
and r 2 . The only remaining difficulty is in integrating this 
equation. If the case is so simple as to present no difficulty, 
or if we have the skill or the good fortune to perceive that the 
multiplier 



d(c,...h) ' (79) 

d(r.,...r fc ) 

or any other, will make the first member of the equation an 
exact differential, we have no need of the rather lengthy con- 
siderations which have been adduced. The utility of the 
principle of conservation of extension-in-phase is that it sup- 
plies a ' multiplier ' which renders the equation integrable, and 
which it might be difficult or impossible to find otherwise. 

It will be observed that the function represented by b' is a 
particular case of that represented by b. The system of arbi- 
trary constants , 5', c . . . h has certain properties notable for 
simplicity. If we write b' for b in (77), and compare the 
result with (78), we get 

= 1. (80) 



d(a, b', c, . . . A) 
Therefore the multiple integral 



da db f do . . . dh (81) 



30 CONSERVATION OF EXTENSION-IN-PHASE 

taken within limits formed by phases regarded as contempo- 
raneous represents the extension-in-phase within those limits. 

The case is somewhat different when the forces are not de- 
termined by the coordinates alone, but are functions of the 
coordinates with the time. All the arbitrary constants of the 
integral equations must then be regarded in the general case 
as functions of r v . . . r 2n , and t. We cannot use the princi- 
ple of conservation of extension-in-phase until we have made 
2n ~L integrations. Let us suppose that the constants 6, ... h 
have been determined by integration in terms of r v . . . r 2w , and 
t, leaving a single constant (a) to be thus determined. Our 
2 % 1 finite equations enable us to regard all the variables 
r v . . . r 2n as functions of a single one, say r r 

For constant values of 5, ... A, we have 

**-* + ft* (82) 

Now 

* * \MI 1 , _ 

-5 da dr* . . . dr zn = 

t 

da . . dh 



d(a, ...h) 

^"^ I f " 

J J d(a } ... A) d(r 2 , . . . r 2n ) 

where the limits of the integrals are formed by the same 
phases. We have therefore 

^' A >, (83) 



da " d(a,...h) d(r t , . . . r, n ) 
by which equation (82) may be reduced to the form 



da = 



M M 
a, . . . h) d(b, ... A) 



d(r 2 , . . . 



Now we know by (71) that the coefficient of da is a func- 
tion of a, ... h. Therefore, as , ... h are regarded as constant 
in the equation, the first number represents the differential 



AND THEORY OF INTEGRATION. 31 

of a function of a, . . . h, which we may denote by a'. We 
have then 

da '= d(b,...h) dr ^~ d(b*..K) dt > (85) 

dfa, ...r 2n ) d(r 2 , ...r 2n ) 

which may be integrated by quadratures. In this case we 
may say that the principle of conservation of extension-in- 
phase has supplied the * multiplier ' 

1 

d(b, ...h) (86) 

d(r z , . . . r zn ) 

for the integration of the equation 

dr, -r l dt = 0. (87) 

The system of arbitrary constants a', 5, ... h has evidently 
the same properties which were noticed in regard to the 
system a, 6', ... h. 



CHAPTER IV. 

ON THE DISTRIBUTION IN PHASE CALLED CANONICAL, 
IN WHICH THE INDEX OF PROBABILITY IS A LINEAR 
FUNCTION OF THE ENERGY. 

LET us now give our attention to the statistical equilibrium 
of ensembles of conservation systems, especially to those cases 
and properties which promise to throw light on the phenom- 
ena of thermodynamics. 

The condition of statistical equilibrium may be expressed 
in the form* 



where P is the coefficient of probability, or the quotient of 
the density-in-phase by the whole number of systems. To 
satisfy this condition, it is necessary and sufficient that P 
should be a function of the p's and q*s (the momenta and 
coordinates) which does not vary with the time in a moving 
system. In all cases which we are now considering, the 
energy, or any function of the energy, is such a function. 

P = f unc. (e) 

will therefore satisfy the equation, as indeed appears identi- 
cally if we write it in the form 



<Wd^_dP_de\ =0 
dq 1 dp l dp l dq l )~ 



There are, however, other conditions to which P is subject, 
which are not so much conditions of statistical equilibrium, as 
conditions implicitly involved in the definition of the coeffi- 

* See equations (20), (41), (42), also the paragraph following equation (20). 
The positions of any external bodies which can affect the systems are here 
supposed uniform for all the systems and constant in time. 



J. 



CANONICAL DISTRIBUTION. 33 

cient of probability, whether the case is one of equilibrium 
or not. These are: that P should be single-valued, and 
neither negative nor imaginary for any phase, and that ex- 
pressed by equation (46), viz., 

all 

JP4>...- <*? = !. (89) 

phases 

These considerations exclude 

P = e X constant, 

as well as 

P = constant, 

as cases to be considered. 

The distribution represented by 

(90) 



or 



where and i/r are constants, and % positive, seems to repre- 
sent the most simple case conceivable, since it has the property 
that when the system consists of parts with separate energies, 
the laws of the distribution in phase of the separate parts are 
of the same nature, a property which enormously simplifies 
the discussion, and is the foundation of extremely important 
relations to thermodynamics. The case is not rendered less 
simple by the divisor , (a quantity of the same dimensions as 
e,) but the reverse, since it makes the distribution independent 
of the units employed. The negative sign of e is required by 
(89), which determines also the value of ^ for any given 
, viz., 

all f 

~ 



=f. . .f 



e dp,... dq n . (92) 

phases 

When an ensemble of systems is distributed in phase in the 
manner described, i. e.^ when the index of probability is a 

3 



34 CANONICAL DISTRIBUTION 

linear function of the energy, we shall say that the ensemble is 
canonically distributed, and shall call the divisor of the energy 
() the modulus of distribution. 

The fractional part of an ensemble canonically distributed 
which lies within any given limits of phase is therefore repre- 
sented by the multiple integral 



9 dp l . . . dq n (93) 

taken within those limits. We may express the same thing 
by saying that the multiple integral expresses the probability 
that an unspecified system of the ensemble (i. e., one of 
which we only know that it belongs to the ensemble) falls 
within the given limits. 

Since the value of a multiple integral of the form (23) 
(which we have called an extension-in-phase) bounded by any 
given phases is independent of the system of coordinates by 
which it is evaluated, the same must be true of the multiple 
integral in (92), as appears at once if we divide up this 
integral into parts so small that the exponential factor may be 
regarded as constant in each. The value of ^r is therefore in- 
dependent of the system of coordinates employed. 

It is evident that ty might be defined as the energy for 
which the coefficient of probability of phase has the value 
unity. Since however this coefficient has the dimensions of 
the inverse nth power of the product of energy and time,* 
the energy represented by -\Jr is not independent of the units 
of energy and time. But when these units have been chosen, 
the definition of ^ will involve the same arbitrary constant as 
e, so that, while in any given case the numerical values of 
^r or e will be entirely indefinite until the zero of energy has 
also been fixed for the system considered, the difference ty e 
will represent a perfectly definite amount of energy, which is 
entirely independent of the zero of energy which we may 
choose to adopt. 

* See Chapter I, p. 19. 



OF AN ENSEMBLE OF SYSTEMS. 35 

It is evident that the canonical distribution is entirely deter- 
mined by the modulus (considered as a quantity of energy) 
and the nature of the system considered, since when equation 
(92) is satisfied the value of the multiple integral (93) is 
independent of the units and of the coordinates employed, and 
of the zero chosen for the energy of the system. 

In treating of the canonical distribution, we shall always 
suppose the multiple integral in equation (92) to have a 
finite value, as otherwise the coefficient of probability van- 
ishes, and the law of distribution becomes illusory. This will 
exclude certain cases, but not such apparently, as will affect 
the value of our results with respect to their bearing on ther- 
modynamics. It will exclude, for instance, cases in which the 
system or parts of it can be distributed in unlimited space 
(or in a space which has limits, but is still infinite in volume), 
while the energy remains beneath a finite limit. It also 
excludes many cases in which the energy can decrease without 
limit, as when the system contains material points which 
attract one another inversely as the squares of their distances. 
Cases of material points attracting each other inversely as the 
distances would be excluded for some values of , and not 
for others. The investigation of such points is best left to 
the particular cases. For the purposes of a general discussion, 
it is sufficient to call attention to the assumption implicitly 
involved in the formula (92).* 

The modulus has properties analogous to those of tem- 
perature in thermodynamics. Let the system A be defined as 
one of an ensemble of systems of m degrees of freedom 
distributed in phase with a probability-coefficient 

*% 

e , 

* It will be observed that similar limitations exist in thermodynamics. In 
order that a mass of gas can be in thermodynamic equilibrium, it is necessary 
that it be enclosed. There is no thermodynamic equilibrium of a (finite) mass 
of gas in an infinite space. Again, that two attracting particles should be 
able to do an infinite amount of work in passing from one configuration 
(which is regarded as possible) to another, is a notion which, although per- 
fectly intelligible in a mathematical formula, is quite foreign to our ordinary 
conceptions of matter. 



36 CANONICAL DISTRIBUTION 

and the system B as one of an ensemble of systems of n 
degrees of freedom distributed in phase with a probability- 
coefficient 



which has the same modulus. Let q v . . .q m , p v . . . p m be the 
coordinates and momenta of A, and q m+l , . . . q m+n , p m+l , . . . p m+n 
those of . Now we may regard the systems A and B as 
together forming a system 0, having m + n degrees of free- 
dom, and the coordinates and momenta q^ . . . <?,+, p v . . . p m+n . 
The probability that the phase of the system (7, as thus defined, 
will fall within the limits 

dpi , . . . dp m+n , dq 1 , . . . dq m +n 

is evidently the product of the probabilities that the systems 
A and B will each fall within the specified limits, viz., 



(94) 



We may therefore regard C as an undetermined system of an 
ensemble distributed with the probability-coefficient 



(95) 



an ensemble which might be defined as formed by combining 
each system of the first ensemble with each of the second. 
But since e A + B is the energy of the whole system, and 
^ A and >/r B are constants, the probability-coefficient is of the 
general form which we are considering, and the ensemble to 
which it relates is in statistical equilibrium and is canonically 
distributed. 

This result, however, so far as statistical equilibrium is 
concerned, is rather nugatory, since conceiving of separate 
systems as forming a single system does not create any in- 
teraction between them, and if the systems combined belong to 
ensembles in statistical equilibrium, to say that the ensemble 
formed by such combinations as we have supposed is in statis- 
tical equilibrium, is only to repeat the data in different 



OF AN ENSEMBLE OF SYSTEMS. 37 

words. Let us therefore suppose that in forming the system 
C we add certain forces acting between A and .5, and having 
the force-function e AB . The energy of the system C is now 
A + B + ABI an d an ensemble of such systems distributed 
with a density proportional to 



(96) 



would be in statistical equilibrium. Comparing this with the 
probability-coefficient of C given above (95), we see that if 
we suppose e AB (or rather the variable part of this term when 
we consider all possible configurations of the systems A and B) 
to be infinitely small, the actual distribution in phase of C 
will differ infinitely little from one of statistical equilibrium, 
which is equivalent to saying that its distribution in phase 
will vary infinitely little even in a time indefinitely prolonged.* 
The case would be entirely different if A and B belonged to 
ensembles having different moduli, say A and 5 . The prob- 
ability-coefficient of C would then be 



which is not approximately proportional to any expression of 
the form (96). 

Before proceeding farther in the investigation of the dis- 
tribution in phase which we have called canonical, it will be 
interesting to see whether the properties with respect to 

* It will be observed that the above condition relating to the forces which 
act between the different systems is entirely analogous to that which must 
hold in the corresponding case in thermodynamics. The most simple test 
of the equality of temperature of two bodies is that they remain in equilib- 
rium when brought into thermal contact. Direct thermal contact implies 
molecular forces acting between the bodies. Now the test will fail unless 
the energy of these forces can be neglected in comparison with the other 
energies of the bodies. Thus, in the case of energetic chemical action be- 
tween the bodies, or when the number of particles affected by the forces 
acting between the bodies is not negligible in comparison with the whole 
number of particles (as when the bodies have the form of exceedingly thin 
sheets), the contact of bodies of the same temperature may produce con- 
siderable thermal disturbance, and thus fail to afford a reliable criterion of 
the equality of temperature. 



38 OTHER DISTRIBUTIONS 

statistical equilibrium which have been described are peculiar 
to it, or whether other distributions may have analogous 
properties. 

Let rj r and 77" be the indices of probability in two independ- 
ent ensembles which are each in statistical equilibrium, then 
rf _j_ y w ni De the index in the ensemble obtained by combin- 
ing each system of the first ensemble with each system of the 
second. This third ensemble will of course be in statistical 
equilibrium, and the function of phase vf + if 1 will be a con- 
stant of motion. Now when infinitesimal forces are added to 
the compound systems, if r/ + rf 1 or a function differing 
infinitesimally from this is still a constant of motion, it must 
be on account of the nature of the forces added, or if their action 
is not entirely specified, on account of conditions to which 
they are subject. Thus, in the case already considered, 
V + ??" is a function of the energy of the compound system, 
and the infinitesimal forces added are subject to the law of 
conservation of energy. 

Another natural supposition in regard to the added forces 
is that they should be such as not to affect the moments of 
momentum of the compound system. To get a case in which 
moments of momentum of the compound system shall be 
constants of motion, we may imagine material particles con- 
tained in two concentric spherical shells, being prevented from 
passing the surfaces bounding the shells by repulsions acting 
always in lines passing through the common centre of the 
shells. Then, if there are no forces acting between particles in 
different shells, the mass of particles in each shell will have, 
besides its energy, the moments of momentum about three 
axes through the centre as constants of motion. 

Now let us imagine an ensemble formed by distributing in 
phase the system of particles in one shell according to the 
index of probability 

^-I+|+S+S' (98) 

where e denotes the energy of the system, and j , o> 2 , &> 3 , its 
three moments of momentum, and the other letters constants. 



HAVE ANALOGOUS PROPERTIES. 39 

In like manner let us imagine a second ensemble formed by 
distributing in phase the system of particles in the other shell 
according to the index 



where the letters have similar significations, and O, O x , O 2 , 11 3 
the same values as in the preceding formula. Each of the 
two ensembles will evidently be in statistical equilibrium, and 
therefore also the ensemble of compound systems obtained by 
combining each system of the first ensemble with each of the 
second. In this third ensemble the index of probability will be 

k + ^-!^ + SL^ + 2d^ + a3L-, (ioo) 

vy i/j 1/2 *a 

where the four numerators represent functions of phase which 
are constants of motion for the compound systems. 

Now if we add in each system of this third ensemble infini- 
tesimal conservative forces of attraction or repulsion between 
particles in different shells, determined by the same law for 
all the systems, the functions o^ + &>', &> 2 + o> 2 ', and &> 3 + w 3 ' 
will remain constants of motion, and a function differing in- 
finitely little from e l + e will be a constant of motion. It 
would therefore require only an infinitesimal change in the 
distribution in phase of the ensemble of compound systems to 
make it a case of statistical equilibrium. These properties are 
entirely analogous to those of canonical ensembles.* 

Again, if the relations between the forces and the coordinates 
can be expressed by linear equations, there will be certain 
" normal " types of vibration of which the actual motion may 
be regarded as composed, and the whole energy may be divided 

* It would not be possible to omit the term relating to energy in the above 
indices, since without this term the condition expressed by equation (89) 
cannot be satisfied. 

The consideration of the above case of statistical equilibrium may be 
made the foundation of the theory of the thermodynamic equilibrium of 
rotating bodies, a subject which has been treated by Maxwell in his memoir 
" On Boltzmann's theorem on the average distribution of energy in a system 
of material points." Cambr. Phil. Trans., vol. XII, p. 547, (1878). 



40 OTHER DISTRIBUTIONS 

into parts relating separately to vibrations of these different 
types. These partial energies will be constants of motion, 
and if such a system is distributed according to an index 
which is any function of the partial energies, the ensemble will 
be in statistical equilibrium. Let the index be a linear func- 
tion of the partial energies, say 



Let us suppose that we have also a second ensemble com- 
posed of systems in which the forces are linear functions of 
the coordinates, and distributed in phase according to an index 
which is a linear function of the partial energies relating to 
the normal types of vibration, say 

^~i?'*'~if (102) 

Since the two ensembles are both in statistical equilibrium, 
the ensemble formed by combining each system of the first 
with each system of the second will also be in statistical 
equilibrium. Its distribution in phase will be represented by 
the index 



and the partial energies represented by the numerators in the 
formula will be constants of motion of the compound systems 
which form this third ensemble. 

Now if we add to these compound systems infinitesimal 
forces acting between the component systems and subject to 
the same general law as those already existing, viz., that they 
are conservative and linear functions of the coordinates, there 
will still be n + m types of normal vibration, and n + m 
partial energies which are independent constants of motion. 
If all the original n + m normal types of vibration have differ- 
ent periods, the new types of normal vibration will differ infini- 
tesimally from the old, and the new partial energies, which are 
constants of motion, will be nearly the same functions of 
phase as the old. Therefore the distribution in phase of the 



HAVE ANALOGOUS PROPERTIES. 41 

ensemble of compound systems after the addition of the sup- 
posed infinitesimal forces will differ infinitesimally from one 
which would be in statistical equilibrium. 

The case is not so simple when some of the normal types of 
motion have the same periods. In this case the addition of 
infinitesimal forces may completely change the normal types 
of motion. But the sum of the partial energies for all the 
original types of vibration which have any same period, will 
be nearly identical (as a function of phase, i. e., of the coordi- 
nates and momenta,) with the sum of the partial energies for 
the normal types of vibration which have the same, or nearly 
the same, period after the addition of the new forces. If, 
therefore, the partial energies in the indices of the first two 
ensembles (101) and (102) which relate to types of vibration 
having the same periods, have the same divisors, the same will 
be true of the index (103) of the ensemble of compound sys- 
tems, and the distribution represented will differ infinitesimally 
from one which would be in statistical equilibrium after the 
addition of the new forces.* 

The same would be true if in the indices of each of the 
original ensembles we should substitute for the term or terms 
relating to any period which does not occur in the other en- 
semble, any function of the total energy related to that period, 
subject only to the general limitation expressed by equation 
(89). But in order that the ensemble of compound systems 
(with the added forces) shall always be approximately in 
statistical equilibrium, it is necessary that the indices of the 
original ensembles should be linear functions of those partial 
energies which relate to vibrations of periods common to the 
two ensembles, and that the coefficients of such partial ener- 
gies should be the same in the two indices.f 

* It is interesting to compare the above relations with the laws respecting 
the exchange of energy between bodies by radiation, although the phenomena 
of radiations lie entirely without the scope of the present treatise, in which 
the discussion is limited to systems of a finite number of degrees of freedom. 

t The above may perhaps be sufficiently illustrated by the simple case 
where n = 1 in each system. If the periods are different in the two systems, 
they may be distributed according to any functions of the energies : but if 



42 CANONICAL DISTRIBUTION 

The properties of canonically distributed ensembles of 
systems with respect to the equilibrium of the new ensembles 
which may be formed by combining each system of one en- 
semble with each system of another, are therefore not peculiar 
to them in the sense that analogous properties do not belong 
to some other distributions under special limitations in regard 
to the systems and forces considered. Yet the canonical 
distribution evidently constitutes the most simple case of the 
kind, and that for which the relations described hold with the 
least restrictions. 

Returning to the case of the canonical distribution, we 
shall find other analogies with thermodynamic systems, if we 
suppose, as in the preceding chapters,* that the potential 
energy (e q ) depends not only upon the coordinates q l . . . q n 
which determine the configuration of the system, but also 
upon certain coordinates i, 2 , etc. of bodies which we call 
external? meaning by this simply that they are not to be re- 
garded as forming any part of the system, although their 
positions affect the forces which act on the system. The 
forces exerted by the system upon these external bodies will 
be represented by de q jda v de q fda 2 , etc., while de q jdq v 
... de q /dq n represent all the forces acting upon the bodies 
of the system, including those which depend upon the position 
of the external bodies, as well as those which depend only 
upon the configuration of the system itself. It will be under- 
stood that p depends only upon qi , . . . q n , p\ , . . . p n , in other 
words, that the kinetic energy of the bodies which we call 
external forms no part of the kinetic energy of the system. 
It follows that we may write 



although a similar equation would not hold for differentiations 
relative to the internal coordinates. 

the periods are the same they must be distributed canonically with same 
modulus in order that the compound ensemble with additional forces may 
be in statistical equilibrium. 
* See especially Chapter I, p. 4. 



OF AN ENSEMBLE OF SYSTEMS. 43 

We always suppose these external coordinates to have the 
same values for all systems of any ensemble. In the case of 
a canonical distribution, i. e., when the index of probability 
of phase is a linear function of the energy, it is evident that 
the values of the external coordinates will affect the distribu- 
tion, since they affect the energy. In the equation 

(105) 

by which ty may be determined, the external coordinates, a x , 
2 , etc., contained implicitly in e, as well as ,^are to be re- 
garded as constant in the integrations indicated. The equa- 
tion indicates that -fy is a function of these constants. If we 
imagine their values varied, and the ensemble distributed 
canonically according to their new values, we have by 
differentiation of the equation ^ 

/ v aii 

f i ./. \ 1 / 





, \ 

(- I ^ + I ) = p 



all 



phases 

all Jf 

-/^ e ~ d Pi d v- ~ ete -> ( 106 ) 

phases 
t 

or, multiplying by e, and setting 

-^ = ^ - = ^ etc -> 

all 



|d = ^ f. . .f 



ee 

phases 





i e dp l . . . dq n 

phases 



r r 

i I . . . 

phases 

r * ( fcf 

2 J ...JA 2 e & dp l ...dq n + etc. (107) 



44 CANONICAL DISTRIBUTION 

Now the average value in the ensemble of any quantity 
(which we shall denote in general by a horizontal line above 
the proper symbol) is determined by the equation 

r M C fc! 
=J J u e & d Pl ... dq a . (108) 

phases 

Comparing this with the preceding equation, we have 

<ty = d - ~ d - A! da^ - 2 2 da 2 - etc. (109) 

(jj) (y 

Or, since fe J = ,, (110) 

and ^=^ 



d\f/ = yd AI da,i >Z 2 d2 etc. 
Moreover, since (111) gives 

dty - c?e = cfy + ^, (113) 

we have also 

dk drj ^ ddi A 2 da 2 etc. (114) 

This equation, if we neglect the sign of averages, is identi- 
cal in form with the thermodynamic equation 

de + A l da 1 + A z da z + etc. 
drj= y -, (115) 

or 

de = Td-rj A! da L A z da 2 etc., (H6) 

which expresses the relation between the energy, .tempera- 
ture, and entropy of a body in thermodynamic equilibrium, 
and the forces which it exerts on external bodies, a relation 
which is the mathematical expression of the second law of 
thermodynamics for reversible changes. The modulus in the 
statistical equation corresponds to temperature in the thermo- 
dynamic equation, and the average index of probability with 
its sign reversed corresponds to entropy. But in the thermo- 
dynamic equation the entropy (77) is a quantity which is 



OF AN ENSEMBLE OF SYSTEMS. 45 

only defined by the equation itself, and incompletely defined 
in that the equation only determines its differential, and the 
constant of integration is arbitrary. On the other hand, the 
77 in the statistical equation has been completely defined as 
the average value in a canonical ensemble of systems of 
the logarithm of the coefficient of probability of phase. 

We may also compare equation (112) with the thermody- 
namic equation 

A^ = T ] dTA l da l A z da< i etc., (117) 

where ^r represents the function obtained by subtracting the 
product of the temperature and entropy from the energy. 

How far, or in what sense, the similarity of these equations 
constitutes any demonstration of the thermodynamic equa- 
tions, or accounts for the behavior of material systems, as 
described in the theorems of thermodynamics, is a question 
of which we shall postpone the consideration until we have 
further investigated the properties of an ensemble of systems 
distributed in phase according to the law which we are con- 
sidering. The analogies which have been pointed out will at 
least supply the motive for this investigation, which will 
naturally commence with the determination of the average 
values in the ensemble of the most important quantities relating 
to the systems, and to the distribution of the ensemble with 
respect to the different values of these quantities. 



CHAPTER V. 

AVERAGE VALUES IN A CANONICAL ENSEMBLE 
OF SYSTEMS. 

IN the simple but important case of a system of material 
points, if we use rectangular coordinates, we have for the 
product of the differentials of the coordinates 

dxi dyi dzi . . . dx v dy v dz v , 

and for the product of the differentials of the momenta 
m l dxi mi dyi m^ dz 1 . . . m v dx v m v dy v m v dz v . 



The product of these expressions, which represents an element 
of extension-in-phase, may be briefly written 

mi dxi . . . m v dz v dxi . . . dz v ; 
and the integral 

e @ mi dxi . . . m v dz v dxi . . . dz v (118) 

will represent the probability that a system taken at random 
from an ensemble canonically distributed will fall within any 
given limits of phase. 
In this case 



(119) 
and 



e 



=e & e 2> 20 . (120) 



The potential energy (e 3 ) is independent of the velocities, 
and if the limits of integration for the coordinates are inde- 
pendent of the velocities, and the limits of the several veloci- 
ties are independent of each other as well as of the coordinates, 



VALUES IN A CANONICAL ENSEMBLE. 47 

the multiple integral may be resolved into the product of 
integrals 



C. . . C 




m v dz v . (121) 



This shows that the probability that the configuration lies 
within any given limits is independent of the velocities, 
and that the probability that any component velocity lies 
within any given limits is independent of the other component 
velocities and of the configuration. 
Since 

* 2 

f 4 V>, <& = vz^, ( 122 > 

I/ 00 

and 



J 



e 2 m* dx! = V^Ti-mx 8 , ( 123 > 



the average value of the part of the kinetic energy due to the 
velocity x 19 which is expressed by the quotient of these inte- 
grals, is J <H). This is true whether the average is taken for 
the whole ensemble or for any particular configuration, 
whether it is taken without reference to the other component 
velocities, or only those systems are considered in which the 
other component velocities have particular values or lie 
within specified limits. 

The number of coordinates is 3 v or n. We have, therefore, 
for the average value of the kinetic energy of a system 

e p = ! = w. (124) 



This is equally true whether we take the average for the whole 
ensemble, or limit the average to a single configuration. 

The distribution of the systems with respect to their com- 
ponent velocities follows the * law of errors ' ; the probability 
that the value of any component velocity lies within any given 
limits being represented by the value of the corresponding 
integral in (121) for those limits, divided by (2 TT m )*, 



48 AVERAGE VALUES IN A CANONICAL 

which is the value of the same integral for infinite limits. 
Thus the probability that the value of x^ lies between any 
given limits is expressed by 



C 
J 



e 2& d Xl . (125) 



The expression becomes more simple when the velocity is 
expressed with reference to the energy involved. If we set 

s=(^x l , 

the probability that s lies between any given limits is 
expressed by 

~ S *ds. (126) 

Here s is the ratio of the component velocity to that which 
would give the energy ; in other words, s 2 is the quotient 
of the energy due to the component velocity divided by . 
The distribution with respect to the partial energies due to 
the component velocities is therefore the same for all the com- 
ponent velocities. 

The probability that the configuration lies within any given 
limits is expressed by the value of 

M f (27r) f . . . /**.** . . . dz v (127) 

for those limits, where M denotes the product of all the 
masses. This is derived from (121) by substitution of the 
values of the integrals relating to velocities taken for infinite 
limits. 

Very similar results may be obtained in the general case of 
a conservative system of n degrees of freedom. Since e p is a 
homogeneous quadratic function of the ^>'s, it may be divided 
into parts by the formula 

_ 1 ^^p -I @p /-I OQ\ 



ENSEMBLE OF SYSTEMS. 49 

where e might be written for e p in the differential coefficients 
without affecting the signification. The average value of the 
first of these parts, for any given configuration, is expressed 
by the quotient 

/+ f+ de ^r . 

/ i*l ~fo 6 d Pl ' ' d Pn 

_oo J oo api 

-=r- (129) 



e dpi . . . dp n 
Now we have by integration by parts 



ty-C 

r PI <^~^- d Pl = r 4 

,/ _oo api j _ 



By substitution of this value, the above quotient reduces to 

, which is therefore the average value of \P\ for the 
2 dpi 

given configuration. Since this value is independent of the 
configuration, it must also be the average for the whole 
ensemble, as might easily be proved directly. (To make 
the preceding proof apply directly to the whole ensemble, we 
have only to write dp 1 . . . dq n for dp . . . dp n in the multiple 
integrals.) This gives J n for the average value of the 
whole kinetic energy for any given configuration, or for 
the whole ensemble, as has already been proved in the case of 
material points. 

The mechanical significance of the several parts into which 
the kinetic energy is divided in equation (128) will be appar- 
ent if we imagine that by the application of suitable forces 
(different from those derived from e q and so much greater 
that the latter may be neglected in comparison) the system 
was brought from rest to the state of motion considered, so 
rapidly that the configuration was not sensibly altered during 
the process, and in such a manner also that the ratios of the 
component velocities were constant in the process. If we 
write 



50 AVERAGE VALUES IN A CANONICAL 

for the moment of these forces, we have for the period of their 
action by equation (3) 

* =- ( ^- d ^ + F l = - + F l 

dqi dqi dqi 

The work done by the force F may be evaluated as follows : 

r r d * 

= I Pi dq t -f I ydqit 
J J dq^ 

where the last term may be cancelled because the configuration 
does not vary sensibly during the application of the forces. 
(It will be observed that the other terms contain factors which 
increase as the tune of the action of the forces is diminished.) 
We have therefore, 

f* f* n f* 

\ dqi = I pi 1 dt = I qi dp t =. I Pi dpi . (131) 

For since the p's are linear functions of the q's (with coeffi- 
cients involving the #'s) the supposed constancy of the <?'s and 
of the ratios of the <?'s will make the ratio fa/Pi constant. 
The last integral is evidently to be taken between the limits 
zero and the value of p 1 in the phase originally considered, 
and the quantities before the integral sign may be taken as 
relating to that phase. We have therefore 

i = i pl ^L t (132) 

That is: the several parts into which the kinetic energy is 
divided in equation (128) represent the amounts of energy 
communicated to the system by the several forces F l , . . . F n 
under the conditions mentioned. 

The following transformation will not only give the value 
of the average kinetic energy, but will also serve to separate 
the distribution of the ensemble in configuration from its dis- 
tribution in velocity. 

Since 2 e p is a homogeneous quadratic function of the jo's, 
which is incapable of a negative value, it can always be ex- 
pressed (and in more than one way) as a sum of squares of 







ENSEMBLE OF SYSTEMS. 51 

linear functions of the JD'S.* The coefficients in these linear 
functions, like those in the quadratic function, must be regarded 
in the general case as functions of the <?'s. Let 

2e p = < 2 + w 2 2 ... + iv 2 (133) 

where MJ . . . u n are such linear functions of the p'a. If we 
write 



for the Jacobian or determinant of the differential coefficients 
of the form dp/du, we may substitute 






for dp 1 . . . dp n 

under the multiple integral sign in any of our formulae. It 
will be observed that this determinant is function of the <?'s 
alone. The sign of such a determinant depends on the rela- 
tive order of the variables in the numerator and denominator. 
But since the suffixes of the it's are only used to distinguish 
these functions from one another, and no especial relation is 
supposed between a p and a u which have the same suffix, we 
may evidently, without loss of generality, suppose the suffixes 
so applied that the determinant is positive. 

Since the w's are linear functions of the />'s, when the in- 
tegrations are to cover all values of the jt?'s (for constant #'s) 
once and only once, they must cover all values of the w's once 
and only once, and the limits will be oo for all the u's. 
Without the supposition of the last paragraph the upper limits 
would not always be + oo , as is evident on considering the 
effect of changing the sign of a u. But with the supposition 
which we have made (that the determinant is always positive) 
we may make the upper limits + oo and the lower oo for all 
the t*'s. Analogous considerations will apply where the in- 
tegrations do not cover all values of the p's and therefore of 

* The reduction requires only the repeated application of the process of 
'completing the square* used in the solution of quadratic equations. 



52 AVERAGE VALUES IN A CANONICAL 

the w's. The integrals may always be taken from a less to a 
greater value of a u. 

The general integral which expresses the fractional part of 
the ensemble which falls within any given limits of phase is 
thus reduced to the form 




...<***&...%,. (134) 

For the average value of the part of the kinetic energy 
which is represented by ^u^ whether the average is taken 
for the whole ensemble, or for a given configuration, we have 
therefore 



__ (135) 

--' 



I/ 



e 

00 



and for the average of the whole kinetic energy, JTI, as 
before. 

The fractional part of the ensemble which lies within any 
given limits of configuration, is found by integrating (184) 
with respect to the w's from oo to + oo . This gives 



J f. 



da, 



which shows that the value of the Jacobian is independent of 
the manner in which 2e p is divided into a sum of squares. 
We may verify this directly, and at the same tune obtain a 
more convenient expression for the Jacobian, as follows. 

It will be observed that since the M'S are linear functions of 
the p's, and the jt?'s linear functions of the ^'s, the u's will be 
linear functions of the <?'s, so that a differential coefficient of 
the form du/dq will be independent of the q's, and function of 
the <?'s alone. Let us write dp x jdu y for the general element 
of the Jacobian determinant. We have 



ENSEMBLE OF SYSTEMS. 53 

dp x d de d r=n de du r 

du y du y dq x du y r \ du r dq x 

r ?" ( ^ e du r \ d de _ du y 

Therefore 

d(p, ...p n ) __d(u, .. . Q 
d(u, . . . u^) d(q, . . . q n ) 

and 

^. ^) 



These determinants are all functions of the <?'s alone.* The 
last is evidently the Hessian or determinant formed of the 
second differential coefficients of the kinetic energy with re- 
spect to <?j , . . . q n . We shall denote it by Aj. The reciprocal 
determinant 



which is the Hessian of the kinetic energy regarded as func- 
tion of the p's, we shall denote by A p . 
If we set 

e & = I . . . / e A p dp,...dp n 



+00 +00 Mj 2 . . . n 2 



f. . . C 



e 20 d Ul . . . du n = (27r) , (140) 



and *, = * - fe (141) 

* It will be observed that the proof of (137) depends on the linear relation 

du r 

between the u's and q's, which makes constant with respect to the differ- 

dq x 

entiations here considered. Compare note on p. 12. 



54 AVERAGE VALUES IN A CANONICAL 

the fractional part of the ensemble which lies within any 
given limits of configuration (136) may be written 

dq l . . . dq n , (142) 

where the constant ty q may be determined by the condition 
that the integral extended over all configurations has the value 
unity.* 

* In the simple but important case in which Aj is independent of the ^'s, 
and j a quadratic function of the q's, if we write e a for the least value of q 
(or of e) consistent with the given values of the external coordinates, the 
equation determining \l/ q may be written 




00 00 

If we denote by q t . . . q n ' the values of qi , . . . q n which give f q its least value 
e a , it is evident that e g e a is a homogenous quadratic function of the differ- 
ences ?! qi, etc., and that dq t , . . . dq n may be regarded as the differentials 
of these differences. The evaluation of this integral is therefore analytically 
similar to that of the integral 

+00 +00_J 

J. . .fe & dp! . . . dp n , 

00 CO 

for which we have found the value A p * (2 TT 9) 3. By the same method, or 
by analogy, we get 



where A 9 is the Hessian of the potential energy as function of the q's. It 
will be observed that A ? depends on the forces of the system and is independ- 
ent of the masses, while A^ or its reciprocal A p depends on the masses and 
is independent of the forces. While each Hessian depends on the system of 
coordinates employed, the ratio A^/A^ is the same for all systems. 
Multiplying the last equation by (140), we have 



For the average value of the potential energy, we have 

+00 +00 *g~ e a 

J ' ' -f ( Q f a)e dq l . . . dq n 



00 00 



+00 +eo * a 

J . . .J e dqi . . . dq n 



ENSEMBLE OF SYSTEMS. 55 

When an ensemble of systems is distributed in configura- 
tion in the manner indicated in this formula, i. e., when its 
distribution in configuration is the same as that of an en- 
semble canonically distributed in phase, we shall say, without 
any reference to its velocities, that it is canonically distributed 
in configuration. 

For any given configuration, the fractional part of the 
systems which lie within any given limits of velocity is 
represented by the quotient of the multiple integral 



d Pl ...dp n , 
or its equivalent 



- 



l-- 






taken within those limits divided by the value of the same 
integral for the limits oo. But the value, of the second 
multiple integral for the limits oo is evidently 



We may therefore write 

~~~ du^ . . . du n , (143) 



The evaluation of this expression is similar to that of 

+00 +00 _!? 

...s f e & dp l ...dp n 



+00 +00 _ C JL 
f...fe & d Pl ...dp n 

- 00 - CO 

which expresses the average value of the kinetic energy, and for which we 
have found the value $ n 6. We have accordingly 

4-a = 2 na 
Adding the equation 

*i> = 2 ne > 
we have I e a = n e. 



\ 



\ 



56 AVERAGES IN A CANONICAL ENSEMBLE. 

/ ^p-fp 
je & **d Pl ...dp n , (144) 



or again 



r r^=^ i 

I . . . / e < Ar^Ti 4i ( 145 ) 

for the fractional part of the systems of any given configura- 
tion which lie within given limits of velocity. 

When systems are distributed in velocity according to these 
formulae, i. e., when the distribution in velocity is like that in 
an ensemble which is canonically distributed in phase, we 
shall say that they are canonically distributed in velocity. 

The fractional part of the whole ensemble which falls 
within any given limits of phase, which we have before 
expressed in the form 



. dp n dqi . . . dq n , (146) 

may also be expressed in the form 

. . dq n dq l . . . dq n . (147) 



CHAPTER VI. 

EXTENSION IN CONFIGURATION AND EXTENSION 
IN VELOCITY. 

THE formulae relating to canonical ensembles in the closing 
paragraphs of the last chapter suggest certain general notions 
and principles, which we shall consider in this chapter, and 
which are not at all limited in their application to the canon- 
ical law of distribution.* 

We have seen in Chapter IV. that the nature of the distribu- 
tion which we have called canonical is independent of the 
system of coordinates by which it is described, being deter- 
mined entirely by the modulus. It follows that the value 
represented by the multiple integral (142), which is the frac- 
tional part of the ensemble which lies within certain limiting 
configurations, is independent of the system of coordinates, 
being determined entirely by the limiting configurations with 
the modulus. Now t|r, as we have already seen, represents 
a value which is independent of the system of coordinates 
by which it is defined. The same is evidently true of 
typ by equation (140), and therefore, by (141), of ty g . 
Hence the exponential factor in the multiple integral (142) 
represents a value which is independent of the system of 
coordinates. It follows that the value of a multiple integral 
of the form 

^ ...dg n (148) 



* These notions and principles are in fact such as a more logical arrange- 
ment of the subject would place in connection with those of Chapter I., to 
which they are closely related. The strict requirements of logical order 
have been sacrificed to the natural development of the subject, and very 
elementary notions have been left until they have presented themselves in 
the study of the leading problems. 



58 EXTENSION IN CONFIGURATION 

is independent of the system of coordinates which is employed 
for its evaluation, as will appear at once, if we suppose the 
multiple integral to be broken up into parts so small that 
the exponential factor may be regarded as constant in each. 
In the same way the formulae (144) and (145) which express 
the probability that a system (in a canonical ensemble) of given 
configuration will fall within certain limits of velocity, show 
that multiple integrals of the form 



(149) 



or * **&. 1* (150) 

relating to velocities possible for a given configuration, when 
the limits are formed by given velocities, have values inde- 
pendent of the system of coordinates employed. 

These relations may easily be verified directly. It has al- 
ready been proved that 

d(P l9 . . . P.) <%i . . . q n ) d(q l9 ...q n ) 



..-) d(Q l9 ...Q n ) 

where q l , . . . q^ft , . . .p n and Q l , . . . Q n9 P 1 , . . . P n are two 
systems of coordinates and momenta.* It follows that 



i> 



= r 

J 



* See equation (29). 



AND EXTENSION IN VELOCITY. 59 

and 

/Cf d (Ql, ... Qn)\% JT> Jp 

' ' J \d(P^ ~^P}) ' * 

"'<%>!... <jp. 



= c. 

J 



>!,-.. W 

The multiple integral 


>! . . . dp n dqi . . . rf^, (151) 

which may also be written 

1 . . . dq n dqi . . . dq n , (152) 



and which, when taken within any given limits of phase, has 
been shown to have a value independent of the coordinates 
employed, expresses what we have called an extension-in- 
phase.* In like manner we may say that the multiple integral 
(148) expresses an extension-in-configuration, and that the 
multiple integrals (149) and (150) express an extensionrin- 
velocity. We have called 

dpi . . . <Zp.<fyi . . . dq n , (153) 

which is equivalent to 

A-^! . . . dq n dq t . . . dq n , (154) 

an element of extension-in-phase. We may call 

A^ ...dq n (155) 

an element of extension-in-configuration, and 

. . . dp n , (156) 



See Chapter I, p. 10. 



60 EXTENSION IN CONFIGURATION 

or its equivalent 



. . d, (157) 

an element of extension-in-velocity. 

An extension-in-phase may always be regarded as an integral 
of elementary extensions-in-configuration multiplied each by 
an extension-in-velocity. This is evident from the formulae 
(151) and (152) which express an extension-in-phase, if we 
imagine the integrations relative to velocity to be first carried 
out. 

The product of the two expressions for an element of 
extension-in-velocity (149) and (150) is evidently of the same 
dimensions as the product 

Pi- ' -PnVl --it 

that is, as the nth power of energy, since every product of the 
form p l q 1 has the dimensions of energy. Therefore an exten- 
sion-in-velocity has the dimensions of the square root of the 
nth power of energy. Again we see by (155) and (156) that 
the product of an extension-in-configuration and an extension- 
in-velocity have the dimensions of the nth power of energy 
multiplied by the nth power of time. Therefore an extension- 
in-configuration has the dimensions of the nth power of time 
multiplied by the square root of the nth power of energy. 

To the notion of extension-in-configuration there attach 
themselves certain other notions analogous to those which have 
presented themselves in connection with the notion of ex- 
tension-in-phase. The number of systems of any ensemble 
(whether distributed canonically or in any other manner) 
which are contained in an element of extension-in-configura- 
tion, divided by the numerical value of that element, may be 
called the density-in-configuration. That is, if a certain con- 
figuration is specified by the coordinates q 1 . . . q n , and the 
number of systems of which the coordinates fall between the 
limits q 1 and q l + dq l , . . . q n and q n + dq n is expressed by 

D.A^Zi *2n, (158) 



AND EXTENSION IN VELOCITY. 61 

D q will be the density-in-configuration. And if we set 

*=ip ( 159 ) 

where N denotes, as usual, the total number of systems in the 
ensemble, the probability that an unspecified system of the 
ensemble will fall within the given limits of configuration, is 
expressed by 

e^dq t . . . dq n . (160) 

We may call &* the coefficient of probability of the, configura- 
tion, and t] q the index of probability of the configuration. 

The fractional part of the whole number of systems which 
are within any given limits of configuration will be expressed 
by the multiple integral 



J. 



. . . dg n . (161) 



The value of this integral (taken within any given configura- 
tions) is therefore independent of the system of coordinates 
which is used. Since the same has been proved of the same 
integral without the factor e* q , it follows that the values of 
7) q and D q for a given configuration in a given ensemble are 
independent of the system of coordinates which is used. 

The notion of extension-in-velocity relates to systems hav- 
ing the same configuration.* If an ensemble is distributed 
both in configuration and in velocity, we may confine our 
attention to those systems which are contained within certain 
infinitesimal limits of configuration, and compare the whole 
number of such systems with those which are also contained 

* Except in some simple cases, such as a system of material points, we 
cannot compare velocities in one configuration with velocities in another, and 
speak of their identity or difference except in a sense entirely artificial. We 
may indeed say that we call the velocities in one configuration the same as 
those in another when the quantities q lt ...q n have the same values in the 
two cases. But this signifies nothing until the system of coordinates has 
been defined. We might identify the velocities in the two cases which make 
the quantities pi,...p n the same in each. This again would signify nothing 
independently of the system of coordinates employed. 



62 EXTENSION IN CONFIGURATION 

within certain infinitesimal limits of velocity. The second 
of these numbers divided by the first expresses the probability 
that a system which is only specified as falling within the in- 
finitesimal limits of configuration shall also fall within the 
infinitesimal limits of velocity. If the limits with respect to 
velocity are expressed by the condition that the momenta 
shall fall between the limits p 1 and p 1 + dp l , . . . p n and 
Pn + dpm the extension-in-velocity within those limits will be 



. . . dp n , 
and we may express the probability in question by 

e^\^d Pl . . . dp n . (162) 

This may be regarded as defining rj p . 

The probability that a system which is only specified as 
having a configuration within certain infinitesimal limits shall 
also fall within any given limits of velocity will be expressed 
by the multiple integral 



h . . . dp n , (163) 

or its equivalent 

J 1 . . .J**4Mb . . . dg n , (164) 

taken within the given limits. 

It follows that the probability that the system will fall 
within the limits of velocity, ^ and ^ + dq 19 . . . q n and 
2 + dq* is expressed by 

e^^d^^.d^. (165) 

The value of the integrals (163), (164) is independent of 
the system of coordinates and momenta which is used, as is 
also the value of the same integrals without the factor 
e 1 ?; therefore the value of TJ P must be independent of the 
system of coordinates and momenta. We may call e 1 ? the 
coefficient of probability of velocity, and tj p the index of proba- 
bility of velocity. 



AND EXTENSION IN VELOCITY. 63 

Comparing (160) and (162) with (40), we get 

eV* = P = e l (166) 

or rj q + I P = ^. (167) 

That is : the product of the coefficients of probability of con- 
figuration and of velocity is equal to the coefficient of proba- 
bility of phase; the sum of the indices of probability of 
configuration and of velocity is equal to the index of 
probability of phase. 

It is evident that e 1 * and e 1 ? have the dimensions of the 
reciprocals of extension-in-configuration and extension-in- 
velocity respectively, i. e., the dimensions of t~ n e~* and e~, 
where t represent any tune, and e any energy. If, therefore, 
the unit of time is multiplied by c t , and the unit of energy by 
c e , every rj q will be increased by the addition of 

n log c t + i?i log c. , (168) 

and every rj p by the addition of 

in logo.* (169) 

It should be observed that the quantities which have been 
called extension-in-configuration and extension-in-velocity are 
not, as the terms might seem to imply, purely geometrical or 
kinematical conceptions. To express their nature more fully, 
they might appropriately have been called, respectively, the 
dynamical measure of the extension in configuration, and the 
dynamical measure of the extension in velocity. They depend 
upon the masses, although not upon the forces of the 
system. In the simple case of material points, where each 
point is limited to a given space, the extension-in-configuration 
is the product of the volumes within which the several points 
are confined (these may be the same or different), multiplied 
by the square root of the cube of the product of the masses of 
the several points. The extension-in-velocity for such systems 
is most easily defined as the extension-in-configuration of 
systems which have moved from the same configuration for 
the unit of time with the given velocities. 
* Compare (47) in Chapter I. 



64 EXTENSION IN CONFIGURATION 

In the general case, the notions of extension-in-configuration 
and extension-in-velocity may be connected as follows. 

If an ensemble of similar systems of n degrees of freedom 
have the same configuration at a given instant, but are distrib- 
uted throughout any finite extension-in-velocity, the same 
ensemble after an infinitesimal interval of time St will be 
distributed throughout an extension in configuration equal to 
its original extension-in-velocity multiplied by $t n . 

In demonstrating this theorem, we shall write q^ . . . q n f for 
the initial values of the coordinates. The final values will 
evidently be connected with the initial by the equations 



Now the original extension-in-velocity is by definition repre- 
sented by the integral 

J. . ,JV4i - <&, (171) 

where the limits may be expressed by an equation of the form 
F(j ll ...^) = Q. (172) 

The same integral multiplied by the constant St* may be 
written 

J. . . jVd&ft), . . . %&), (173) 

and the limits may be written 



(It will be observed that St as well as A^ is constant in the 
integrations.) Now this integral is identically equal to 

f. . ./A,* d(q, - <?/) . . . d(q, . . . ft,'), (175) 

or its equivalent 

AM. * (176) 



f. -/ 



with limits expressed by the equation 

/ (ft -<?/, 2.- 2,.') =0. (177) 



AND EXTENSION IN VELOCITY. 65 

But the systems which initially had velocities satisfying the 
equation (172) will after the interval Bt have configurations 
satisfying equation (177). Therefore the extension-in-con- 
figuration represented by the last integral is that which 
belongs to the systems which originally had the extension-in- 
velocity represented by the integral (171). 

Since the quantities which we have called extensions-in- 
phase, extensions-in-configuration, and extensions-in-velocity 
are independent of the nature of the system of coordinates 
used in their definitions, it is natural to seek definitions which 
shall be independent of the use of any coordinates. It will be 
sufficient to give the following definitions without formal proof 
of their equivalence with those given above, since they are 
less convenient for use than those founded on systems of co- 
ordinates, and since we shall in fact have no occasion to use 
them. 

We commence with the definition of extension-in- velocity. 
We may imagine n independent velocities, V l , . . . V n of which a 
system in a given configuration is capable. We may conceive 
of the system as having a certain velocity F~ combined with a 
part of each of these velocities V l . . . V n . By a part of V\ is 
meant a velocity of the same nature as V\ but in amount being 
anything between zero and V r Now all the velocities which 
may be thus described may be regarded as forming or lying in 
a certain extension of which we desire a measure. The case 
is greatly simplified if we suppose that certain relations exist 
between the velocities V\ , . . . V w viz : that the kinetic energy 
due to any two of these velocities combined is the sum of the 
kinetic energies due to the velocities separately. In this case 
the extension-in-motion is the square root of the product of 
the doubled kinetic energies due to the n velocities Fi , . . . V n 
taken separately. 

The more general case may be reduced to this simpler case 
as follows. The velocity F 2 may always be regarded as 
composed of two velocities Vj and V 2 ", of which VJ is of 
the same nature as V l , (it may be more or less in amount, or 
opposite in sign,) while V 2 " satisfies the relation that the 

5 



66 EXTENSION IN CONFIGURATION 

kinetic energy due to V l and V 2 n combined is the sum of the 
kinetic energies due to these velocities taken separately. And 
the velocity V B may be regarded as compounded of three, 

*Y F 3"> *Y" of which v * is of the same nature as F i ' V * 
of the same nature as V 2 ", while V B " f satisfies the relations 

that if combined either with Fi or V the kinetic energy of 
the combined velocities is the sum of the kinetic energies of 
the velocities taken separately. When all the velocities 
Fg , . . . V n have been thus decomposed, the square root of the 
product of the doubled kinetic energies of the several velocities 
PI> JY' JY" ete *' ^H be the value of the extension-in- 
velocity which is sought. 

This method of evaluation of the extension-in- velocity which 
we are considering is perhaps the most simple and natural, but 
the result may be expressed in a more symmetrical form. Let 
us write e 12 for the kinetic energy of the velocities F x and V% 
combined, diminished by the sum of the kinetic energies due 
to the same velocities taken separately. This may be called 
the mutual energy of the velocities V\ and F 2 . Let the 
mutual energy of every pair of the velocities Fj , . . . V n be 
expressed in the same way. Analogy would make e n represent 
the energy of twice V 1 diminished by twice the energy of Fi , 
i. e.y e n would represent twice the energy of Fi , although the 
term mutual energy is hardly appropriate to this case. At all 
events, let e n have this signification, and e 22 represent twice 
the energy of F^, etc. The square root of the determinant 

n 12 ... i 



represents the value of the extension-in-velocity determined as 
above described by the velocities V\ , . . . FJ,. 

The statements of the preceding paragraph may be readily 
proved from the expression (157) on page 60, viz., 



A 



by which the notion of an element of extension-in-velocity was 



AND EXTENSION IN VELOCITY. 67 

originally defined. Since A^ in this expression represents 
the determinant of which the general element is 



the square of the preceding expression represents the determi- 
nant of which the general element is 




Now we may regard the differentials of velocity dq t , d^ as 
themselves infinitesimal velocities. Then the last expression 
represents the mutual energy of these velocities, and 

d*e 



represents twice the energy due to the velocity dq { . 

The case which we have considered is an extension-in-veloc- 
ity of the simplest form. All extensions-in-velocity do not 
have this form, but all may be regarded as composed of 
elementary extensions of this form, in the same manner as 
all volumes may be regarded as composed of elementary 
parallelepipeds. 

Having thus a measure of extension-in- velocity founded, it 
will be observed, on the dynamical notion of kinetic energy, 
and not involving an explicit mention of coordinates, we may 
derive from it a measure of extension-in-configuration by the 
principle connecting these quantities which has been given in 
a preceding paragraph of this chapter. 

The measure of extension-in-phase may be obtained from 
that of extension-in-configuration and of extension-in- velocity. 
For to every configuration in an extension-in-phase there will 
belong a certain extension-in-velocity, and the integral of the 
elements of extension-in-configuration within any extension- 
in-phase multiplied each by its extension-in-velocity is the 
measure of the extension-in-phase. 



CHAPTER VII. 

FARTHER DISCUSSION OF AVERAGES IN A CANONICAL 
ENSEMBLE OF SYSTEMS. 

RETURNING to the case of a canonical distribution, we have 
for the index of probability of configuration 



as appears on comparison of formulae (142) and (161). It 
follows immediately from (142) that the average value in the 
ensemble of any quantity u which depends on the configura- 
tion alone is given by the formula 

r au ^ *<r-*g 
=J...Jue " ^d qi ...dq n} (179) 



u 

conflg. 



where the integrations cover all possible configurations. The 
value of i|r g is evidently determined by the equation 

r ^ r _!? 

=J . . .J e %*dfc . . . dq n . (180) 



e 

config. 



By differentiating the last equation we may obtain results 
analogous to those obtained in Chapter IV from the equation 



- *" ~ f 





J * J & &dPl ' ' ' 



e 

. 

phases 



As the process is identical, it is sufficient to give the results : 
dfa = rj q d J^i J^da^ etc., (181) 



AVERAGES IN A CANONICAL ENSEMBLE. 69 
or, since \f/ q = 7 g + ^ g , (182) 

and <fy c = < g 4- ^ g rf + <fy a , (183) 

ckg = cfyg ^etai J 2 ^2 etc. (184) 

It appears from this equation that the differential relations 
subsisting between the average potential energy in an ensem- 
ble of systems canonically distributed, the modulus of distri- 
bution, the average index of probability of configuration, taken 
negatively, and the average forces exerted on external bodies, 
are equivalent to those enunciated by Clausius for the potential 
energy of a body, its temperature, a quantity which he called 
the disgregation, and the forces exerted on external bodies.* 

For the index of probability of velocity, in the case of ca- 
nonical distribution, we have by comparison of (144) and (163), 
or of (145) and (164), 

(185) 

which gives ^ = Yp ~ * p ; (186) 

we have also ^, = n , (187) 

and by (140), fa = - \ n log (2ir0). (188) 
From these equations we get by differentiation 

<%=^d, (189) 

and <, = d^. (190) 

The differential relation expressed in this equation between 
the average kinetic energy, the modulus, and the average index 
of probability of velocity, taken negatively, is identical with 
that given by Clausius locis citatis for the kinetic energy of a 
body, the temperature, and a quantity which he called the 
transformation-value of the kinetic energy, f The relations 



* Pogg. Ann., Bd. CXVI, S. 73, (1862) ; ibid., Bd. CXXV, S. 353, (1865), 
See also Boltzmann, Sitzb. der Wiener.Akad., Bd. LXIII, S. 728, (1871). 
t Verwandlungswerth des Warmeinhaltes. 




70 AVERAGE VALUES IN A CANONICAL 

are also identical with those given by Clausius for the corre- 
sponding quantities. 

Equations (112) and (181) show that if ty or ^r q is known 
as function of S and x , a 2 , etc., we can obtain by differentia- 
tion e or e q , and A ly A Zy etc. as functions of the same varia- 
bles. We have in fact 



* = * f -i=:* f -e. (192) 

The corresponding equation relating to kinetic energy, 



which may be obtained in the same way, may be verified by 
the known relations (186), (187), and (188) between the 
variables. We have also 



etc., so that the average values of the external forces may be 
derived alike from ty or from ty q . 

The average values of the squares or higher powers of the 
energies (total, potential, or kinetic) may easily be obtained by 
repeated differentiations of -\|r, ^, ^ p1 or e, e g , e^, with 
respect to <t). By equation (108) we have 



c = J . . .J e <fe . . . dfc, (195) 

phases 

and differentiating with respect to , 



phases 

whence, again by (108), 

de _ ? \fe 
d~~ 2 



ENSEMBLE OF SYSTEMS. 71 



= 

Combining this with (191), 



In precisely the same way, from the equation 

, 
^...^ n , (199) 



(200) 



config. 

we may obtain 



In the same way also, if we confine ourselves to a particular 
configuration, from the equation 



/.all r ^ 1 

= // P e Ap dpi . . . dp M (201) 

J J 

we obtain 



r J 

veloc. 



which by (187) reduces to 

?=(!n+Jn). (203) 

Since this value is independent of the configuration, we see 
that the average square of the kinetic energy for every configu- 
ration is the same, and therefore the same as for the whole 
ensemble. Hence e^ may be interpreted as the average either 
for any particular configuration, or for the whole ensemble. 
It will be observed that the value of this quantity is deter- 
mined entirely by the modulus and the number of degrees of 
freedom of the system, and is in other respects independent of 
the nature of the system. 

Of especial importance are the anomalies of the energies, or 
their deviations from their average values. The average value 



72 AVERAGE VALUES IN A CANONICAL 

of these anomalies is of course zero. The natural measure of 
such anomalies is the square root of their average square. Now 



(.-3" = ?_, ( 2 04) 

identically. Accordingly 



(205) 
In like manner, 

(206) 



Hence 

G-l) 2 = G fl - I,) 2 + (e p -e p ) 2 . (208) 

Equation (206) shows that the value of de g /d can never be 
negative, and that the value of d 2 ty g /d 2 or drj q /d can never 
be positive.* 

To get an idea of the order of magnitude of these quantities, 
we may use the average kinetic energy as a term of comparison, 
this quantity being independent of the arbitrary constant in- 
volved in the definition of the potential energy. Since 

* In the case discussed in the note on page 54, in which the potential 
energy is a quadratic function of the q's, and Ag independent of the <?'s, we 
should get for the potential energy 



and for the total energy 



We may also write in this case, 

(fq a) 2 n 
(e-e ) 2 ~n' 



ENSEMBLE OF SYSTEMS. 73 



(209) 



e-__ ? . 

~?~ "^~ + 5f p 

These equations show that when the number of degrees of 
freedom of the systems is very great, the mean squares of the 
anomalies of the energies (total, potential, and kinetic) are very 
small in comparison with the mean square of the kinetic 
energy, unless indeed the differential coefficient de q /de p is 
of the same order of magnitude as n. Such values of de q jde p 
can only occur within intervals (ej 1 e p f ) which are of the or- 
der of magnitude of n~~\ unless it be in cases in which e g is in 
general of an order of magnitude higher than e p . Postponing 
for the moment the consideration of such cases, it will be in- 
teresting to examine more closely the case of large values of 
de q /de p within narrow limits. Let us suppose that for ej and 
e p f the value of de q /de p is of the order of magnitude of unity, 
but between these values of "e p very great values of the differ- 
ential coefficient occur. Then in the ensemble having modulus 
@" and average energies e p " and e s ", values of e q sensibly greater 
than e q rl will be so rare that we may call them practically neg- 
ligible. They will be still more rare in an ensemble of less 
modulus. For if we differentiate the equation 



regarding e q as constant, but and therefore ^ as variable, 
we get 

/drj q \ __1 dif/ q \It q q . 

\d) -~d ^~' 
whence by (192) 



74 AVERAGE VALUES IN A CANONICAL 

That is, a diminution of the modulus will diminish the proba- 
bility of all configurations for which the potential energy exceeds 
its average value in the ensemble. Again, in the ensemble 
having modulus ' and average energies e p ' and e^, values of 
e q sensibly less than e g ' will be so rare as to be practically neg- 
ligible. They will be still more rare in an ensemble of greater 
modulus, since by the same equation an increase of the 
modulus will diminish the probability of configurations for 
which the potential energy is less than its average value in 
the ensemble. Therefore, for values of O between ' and ", 
and of e p between e p ' and e p /; , the individual values of e q will 
be practically limited to the interval between e/ and e g ' r . 

In the cases which remain to be considered, viz., when 
de q /de p has very large values not confined to narrow limits, 
and consequently the differences of the mean potential ener- 
gies in ensembles of different moduli are in general very large 
compared with the differences of the mean kinetic energies, it 
appears by (210) that the anomalies of mean square of poten- 
tial energy, if not small in comparison with the mean kinetic 
energy, will yet in general be very small in comparison with 
differences of mean potential energy in ensembles having 
moderate differences of mean kinetic energy, the exceptions 
being of the same character as described for the case when 
de q /de p is not in general large. 

It follows that to human experience and observation with 
respect to such an ensemble as we are considering, or with 
respect to systems which may be regarded as taken at random 
from such an ensemble, when the number of degrees of free- 
dom is of such order of magnitude as the number of molecules 
in the bodies subject to our observation and experiment, e e, 
P pi *q % would be in general vanishing quantities, 
since such experience would not be wide enough to embrace 
the more considerable divergencies from the mean values, and 
such observation not nice enough to distinguish the ordinary 
divergencies. In other words, such ensembles would appear 
to human observation as ensembles of systems of uniform 
energy, and in which the potential and kinetic energies (sup- 



ENSEMBLE OF SYSTEMS. 75 

posing that there were means of measuring these quantities 
separately) had each separately uniform values.* Exceptions 
might occur when for particular values of the modulus the 
differential coefficient de q /d~e p takes a very large value. To 
human observation the effect would be, that in ensembles in 
which and e p had certain critical values, ~e q would be in- 
determinate within certain limits, viz., the values which would 
correspond to values of and e p slightly less and slightly 
greater than the critical values. Such indeterminateness cor- 
responds precisely to what we observe in experiments on the 
bodies which nature presents to us.f 

To obtain general formulae for the average values of powers 
of the energies, we may proceed as follows. If h is any posi- 
tive whole number, we have identically 



phases phases 

t. e., by (108), 

_i ,, _i 

(215) 



Hence 



and 



* This implies that the kinetic and potential energies of individual systems 
would each separately have values sensibly constant in time. 

t As an example, we may take a system consisting of a fluid in a cylinder 
under a weighted piston, with a vacuum between the piston and the top of 
the cylinder, which is closed. The weighted piston is to be regarded as a 
part of the system. (This is formally necessary in order to satisfy the con- 
dition of the invariability of the external coordinates.) It is evident that at 
a certain temperature, viz., when the pressure of saturated vapor balances 
the weight of the piston, there is an indeterminateness in the values of the 
potential and total energies as functions of the temperature. 



76 AVERAGE VALUES IN A CANONICAL 

For h = 1, this gives 



which agrees with (191). 
From (215) we have also 



In like manner from the identical equation 

all , , 



config. conflg. 

(221) 

--/ rf\^ - 
we get i? = e (^ 2 ^ J e , (222) 



and 



With respect to the kinetic energy similar equations will 
hold for averages taken for any particular configuration, or 
for the whole ensemble. But since 



the equation 



reduces to 




ENSEMBLE OF SYSTEMS. 77 

We have therefore 

< 226 > 
" < 227 > 

* (228) 



The average values of the powers of the anomalies of the 
energies are perhaps most easily found as follows. We have 
identically, since e is a function of , while e is a function of 
the jt?'s and <?'s, 

all f 



phases 



J. . . J[ e(e _ i) _ h (e _ ;) 2 * J e~0d Pl , ...dy. 



(229) 
_ i_ x enyj 

phases 

i. e., by (108), 



(230) 

* In the case discussed in the note on page 54 we may easily get 



which, with e g 6 , 

gives 

rr^j = Qe + e^) (,-*j = |Qe + * 

Hence c e a ft = c*. 



Again (e - 6 ) = e - e a + 2 ^ (e - ea)*- 1 , 

which with e e = n & 

gives 

(e - )* = (n 6 + 02^) (e - ea)*- 1 = n (w + 02^)*~ J 0, 

hence {7^j = ?^ + *> e. 



78 AVERAGE VALUES IN A CANONICAL 

or since by (218) 



-e) = e(e-e) - A <- 



In precisely the same way we may obtain for the potential 
energy 

(6 3 -i 3 )^ = @ 2 ^(e 3 - e q ^ + h(e q - e q )^ 2 g. (232) 
By successive applications of (231) we obtain 



(e - i) 2 = 
(e-e) 8 = 



(e - e) 6 = J> 5 e + 15DeD*e + 10(D 2 ) 2 + 15(Z)e) 8 etc. 

where D represents the operator ' 2 d/d. Similar expres- 
sions relating to the potential energy may be derived from 
(232). 

For the kinetic energy we may write similar equations in 
which the averages may be taken either for a single configura- 
tion or for the whole ensemble. But since 

dp _ n 

d~2 

the general formula reduces to 

(e p - e p ) = 2 A (p - e p ) + n h& (e p - ~e p )^ (233) 
or 




(234) 



ENSEMBLE OF SYSTEMS. 79 

But since identically 



the value of the corresponding expression for any index will 
be independent of <*) and the formula reduces to 



we have therefore 



etc. 1 



It will be observed that when i/r or e is given as function of 
O, all averages of the form e^ or (e T) ft are thereby deter- 

* In the case discussed in the preceding foot-notes we get easily 



and 



For the total energy we have in this case 

l h ~ 



x -Tx2 i 
Ve-J = n' 



ft \ _ 2 



etc. 



rurxs iar A 



ou 



-: . 









/ 

f. 

J 




* 



ENSEMBLE OP SYSTEMS. 



The multiple integrals in 

average rallies of the expressions In the brackets, 

may therefore set equal to zero. The first gives 



as already obtained. With this relation and (191) we get 
from the other equations 




We may add for comparison equation (205), which might be 
derived from (236) by differentiating twice with respect to 8 : 



The two last equations give 



dl 



(A l - A l )(e - e) = (6 - )'. (245) 

e?e 

If i/r or e is known as function of 0, Oj, Oj, etc*, (e e) 2 may 
be obtained by differentiation as function of the same variables. 
And if i|r, or A v or 17" is known as function of 8, O 



(e e) may be obtained by differentiation. But 
(^A l A^y- and (^A l A^) (^ 2 A 2 ) cannot be obtained in any 

similar manner. We have seen that (e e) 2 is in general a 
vanishing quantity for very great values of TI, which we may 
regard as contained implicitly in as a divisor. The same is 

true of (A^ A^) (e e). It does not appear that we can 

assert the same of (A-^ -4 X ) 2 or (A l A^) (^ 2 -4 2 ), since 

6 



82 AVERAGE VALUES IN A CANONICAL 



a^ may be very great. The quantities dte/da^ an 
belong to the class called elasticities. The former expression 
represents an elasticity measured under the condition that 
while &J is varied the internal coordinates q l9 . . . q n all remain 
fixed. The latter is an elasticity measured under the condi- 
tion that when a x is varied the ensemble remains canonically 
distributed within the same modulus. This corresponds to 
an elasticity in physics measured under the condition of con- 
stant temperature. It is evident that the former is greater 
than the latter, and it may be enormously greater. 

The divergences of the force A l from its average value are 
due in part to the differences of energy in the systems of the 
ensemble, and in part to the differences in the value of 
the forces which exist in systems of the same energy. If we 
write A^ for the average value of A l in systems of the 
ensemble which have any same energy, it will be determined 
by the equation 



/ . . . J e 



. . . dq n 



where the limits of integration in both multiple integrals are 
two values of the energy which differ infinitely little, say e and 

fc 

e + de. This will make the factor e & constant within the 
limits of integration, and it may be cancelled in the numera- 
tor and denominator, leaving 

//- --<&>! ...dq n 

2H.= / / (247) 

J...J*!...*. 

where the integrals as before are to be taken between e and 
e + de. A^\ f is therefore independent of , being a function 
of the energy and the external coordinates. 



ENSEMBLE OF SYSTEMS. 83 

Now we have identically 

A l Ai = (Ai 2T) e ) + (2T1 1 -4)> 

where A l ~A^ e denotes the excess of the force (tending to 
increase a^ exerted by any system above the average of such 
forces for systems of the same energy. Accordingly, 



But the average value of (A l A^\f) (A^\ e A^) for systems 
of the ensemble which have the same energy is zero, since for 
such systems the second factor is constant. Therefore the 
average for the whole ensemble is zero, and 



Atf. (248) 

In the same way it may be shown that 



(A, - A l ) (e-e) = (^ - AJ (e - e). (249) 

It is evident that in ensembles in which the anomalies of 
energy e e may be regarded as insensible the same will be 
true of the quantities represented by A^\ f A^ 

The properties of quantities of the form A^\ will be 
farther considered in Chapter X, which will be devoted to 
ensembles of constant energy. 

It may not be without interest to consider some general 
formulae relating to averages in a canonical ensemble, which 
embrace many of the results which have been given in this 
chapter. 

Let u be any function of the internal and external coordi- 
nates with the momenta and modulus. We have by definition 

**-.>, V: .fc! 

u-J...Jue e d^.^dq, (250) 

phases 

If we differentiate with respect to , we have 
du f a r/du u u e 

d = J J (35-3 <#--^i 

phases 



84 AVERAGE VALUES IN A CANONICAL 



du _du uty-e) udif, 
d~d -- & + d' 

Setting u = 1 in this equation, we get 

d\f/ _ \i/ 
d~ 

and substituting this value, we have 

du du ue ue 






If we differentiate equation (250) with respect to a (which 
may represent any of the external coordinates), and write A 

for the force -^ , we get 



__ ail t *. 

du r r( du u dif/ u . \ 
3-= /.../V-5- + ^^-+7 v ^) 
da J J \da da / 



da 

phases 

du du 
or = 



Setting w = 1 hi this equation, we get 



Substituting this value, we have 

du au uA uA 



du du 



or - r -- r = ^2-uI=(u-u)(A-2). (255) 

da aa 

Repeated applications of the principles expressed by equa- 
tions (252) and (255) are perhaps best made in the particular 
cases. Yet we may write (252) in this form 



ENSEMBLE OF SYSTEMS. 85 



( + D) (u - u) = 0, (256) 



where D represents the operator 2 d/d. 
Hence 



(e + D) A (u - u) = 0, (257) 

where h is any positive whole number. It will be observed, 
that since e is not function of , (e + D) h may be expanded by 
the binomial theorem. Or, we may write 



(e + />) u = (e + D) u, (258) 



whence (e + X>)* u = (e + D) h u. (259) 

But the operator (e + D)*, although in some respects more 
simple than the operator without the average sign on the e, 
cannot be expanded by the binomial theorem, since e is a 
function of with the external coordinates. 
So from equation (254) we have 



< 26 ) 



whence (~ + J;)* ( - u) = ; (261) 



The binomial theorem cannot be applied to these operators. 

Again, if we now distinguish, as usual, the several external 
coordinates by suffixes, we may apply successively to the 
expression u u any or all of the operators 



, 



, etc. (264) 



86 AVERAGES IN A CANONICAL ENSEMBLE. 

as many times as we choose, and in any order, the average 
value of the result will be zero. Or, if we apply the same 
operators to u, and finally take the average value, it will be the 
same as the value obtained by writing the sign of average 
separately as u, and on e, A , A 2 , etc., in all the operators. 

If u is independent of the momenta, formulae similar to 
the preceding, but having e q in place of e, may be derived 
from equation (179). 



CHAPTER VIII. 

ON CERTAIN IMPORTANT FUNCTIONS OF THE 
ENERGIES OF A SYSTEM. 

IN order to consider more particularly the distribution of a 
canonical ensemble in energy, and for other purposes, it will 
be convenient to use the following definitions and notations. 

Let us denote by J^the extension-in-phase below a certain 
limit of energy which we shall call e. That is, let 

> x . . . dq n , (265) 

the integration being extended (with constant values of the 
external coordinates) over all phases for which the energy is 
less than the limit e. We shall suppose that the value of this 
integral is not infinite, except for an infinite value of the lim- 
iting energy. This will not exclude any kind of system to 
which the canonical distribution is applicable. For if 

>i dq n 

taken without limits has a finite value,* the less value repre- 
sented by 

e 



/... 

u 







taken below a limiting value of 6, and with the e before the 
integral sign representing that limiting value, will also be 
finite. Therefore the value of V, which differs only by a 
constant factor, will also be finite, for finite e. It is a func- 
tion of e and the external coordinates, a continuous increasing 

* This is a necessary condition of the canonical distribution. See 
Chapter IV, p. 35. 



88 CERTAIN IMPORTANT FUNCTIONS 

function of 6, which becomes infinite with e, and vanishes 
for the smallest possible value of e, or f or e = oo, if the 
energy may be diminished without limit. 
Let us also set 

dV 
<f> = log (266) 

The extension in phase between any two limits of energy, ^ 
and e", will be represented by the integral 

/ de. (267) 

And in general, we may substitute e* de for dp l . . . dq n in a 
2tt-fold integral, reducing it to a simple integral, whenever 
the limits can be expressed by the energy alone, and the other 
factor under the integral sign is a function of the energy alone, 
or with quantities which are constant in the integration. 

In particular we observe that the probability that the energy 
of an unspecified system of a canonical ensemble lies between 
the limits e' and e" will be represented by the integral * 

* ffe, (268) 

and that the average value in the ensemble of any quantity 
which only varies with the energy is given by the equation j 



(269) 



where we may regard the constant *fy as determined by the 
equation $ 




^ 
=l 



6=00 


& 



e de, (270) 

F=0 

In regard to the lower limit in these integrals, it will be ob- 
served that V= is equivalent to the condition that the 
value of e is the least possible. 

* Compare equation (93). t Compare equation (108). 

J Compare equation (92). 



OF THE ENERGIES OF A SYSTEM. 89 

In like manner, let us denote by V q the extension-in-configu- 
ration below a certain limit of potential energy which we may 
call e g . That is, let 



JV 



(2T1) 



the integration being extended (with constant values of the 
external coordinates) over all configurations for which the 
potential energy is less than e g . V q will be a function of e q 
with the external coordinates, an increasing function of e 3 , 
which does not become infinite (in such cases as we shall con- 
sider *) for any finite value of e q . It vanishes for the least 
possible value of e ? , or for e q = oo , if e q can be diminished 
without limit. It is not always a continuous function of e g . 
In fact, if there is a finite extension-in-configuration of con- 
stant potential energy, the corresponding value of V q will 
not include that extension-in-configuration, but if e q be in- 
creased infinitesimally, the corresponding value of V q will be 
increased by that finite extension-in-configuration. 
Let us also set 



(272) 

The extension-in-configuration between any two limits of 
potential energy e q and e q f may be represented by the integral 

(273) 

whenever there is no discontinuity in the value of V q as 
function of e q between or at those limits, that is, when- 
ever there is no finite extension-in-configuration of constant 
potential energy between or at the limits. And hi general, 
with the restriction mentioned, we may substitute e^ q de q for 
Aj dq 1 . . . dq n in an w-fold integral, reducing it to a simple 
integral, when the limits are expressed by the potential energy, 
and the other factor under the integral sign is a function of 

* If V q were infinite^ for finite values of e,, V would evidently be infinite 
for finite values of e. 



90 CERTAIN IMPORTANT FUNCTIONS 

the potential energy, either alone or with quantities which are 
constant in the integration. 

We may often avoid the inconvenience occasioned by for- 
mulae becoming illusory on account of discontinuities in the 
values of V q as function of e q by substituting for the given 
discontinuous function a continuous function which is practi- 
cally equivalent to the given function for the purposes of the 
evaluations desired. It only requires infinitesimal changes of 
potential energy to destroy the finite extensions-in-configura- 
tion of constant potential energy which are the cause of the 
difficulty. 

In the case of an ensemble of systems canonically distributed 
in configuration, when V q is, or may be regarded as, a continu- 
ous function of e q (within the limits considered), the proba- 
bility that the potential energy of an unspecified system lies 
between the limits e q and e q ' is given by the integral 



where ^ may be determined by the condition that the value of 
the integral is unity, when the limits include all possible 
values of e q . In the same case, the average value in the en- 
semble of any function of the potential energy is given by the 
equation 



u = / ue d q . (275) 

V q =0 

When V q is not a continuous function of e ff , we may write d V q 
for e* q de g in these formulae. 

In like manner also, for any given configuration, let us 
denote by V p the extension-in-velocity below a certain limit of 
kinetic energy specified by e p . That is, let 



V, = J. 



(276) 



OF THE ENERGIES OF A SYSTEM. 91 

the integration being extended, with constant values of the 
coordinates, both internal and external, over all values of the 
momenta for which the kinetic energy is less than the limit e p . 
V p will evidently be a continuous increasing function of e p 
which vanishes and becomes infinite with e. Let us set 



The extension-in-velocity between any two limits of kinetic 
energy e p and e p " may be represented by the integral 

f 

e* p de p . (278) 

And in general, we may substitute e^ p de p for A,* dp l . . . dp n 
or Ag* dq l . . . dq n in an w-fold integral in which the coordi- 
nates are constant, reducing it to a simple integral, when the 
limits are expressed by the kinetic energy, and the other factor 
under the integral sign is a function of the kinetic energy, 
either alone or with quantities which are constant in the 
integration. 

It is easy to express V p and $ p in terms of e p . Since A^ is 
function of the coordinates alone, we have by definition 



1 ...dp n (279) 

the limits of the integral being given by e p . That is, if 

e p = F( Pl ,... Pa ), (280) 

the limits of the integral for e p = 1, are given by the equation 
F( Pl ,... Pa ) = \, (281) 

and the limits of the integral for e p a 2 , are given by the 
equation 

='. (282) 



But since F represents a quadratic function, this equation 
may be written 

1 (283) 



92 CERTAIN IMPORTANT FUNCTIONS 

The value of V p may also be put in the form 

r, = ***f...f*&...*%. (284) 

Now we may determine V p for e p = 1 from (279) where the 
limits are expressed by (281), and FJ, for e p ,= a 2 from (284) 
taking the limits from (283). The two integrals thus deter- 
mined are evidently identical, and we have 



(285) 

i. e., V v varies as e/. We may therefore set 

, n 

V p =Ce p *> e P = n -Ce p * j (286) 

where C is a constant, at least for fixed values of the internal 
coordinates. 

To determine this constant, let us consider the case of a 
canonical distribution, for which we have 



_ 

where e & = (2-*) 2 . 

Substituting this value, and that of e*' from (286), we get 



(287) 



Having thus determined the value of the constant (7, we may 



OF THE ENERGIES OF A SYSTEM. - 93 

substitute it in the general expressions (286), and obtain the 
following values, which are perfectly general : 



~ * (289) 

It will be observed that the values of V p and <f> p for any 
given e p are independent of the configuration, and even of the 
nature of the system considered, except with respect to its 
number of degrees of freedom. 

Returning to the canonical ensemble, we may express the 
probability that the kinetic energy of a system of a given 
configuration, but otherwise unspecified, falls within given 
limits, by either member of the following equation 




Since this value is independent of the coordinates it also 
represents the probability that the kinetic energy of an 
unspecified system of a canonical ensemble falls within the 
limits. The form of the last integral also shows that the prob- 
ability that the ratio of the kinetic energy to the modulus 

* Very similar values for V q , <&*, V, and e* may be found in the same 
way in the case discussed in the preceding foot-notes (see pages 54, 72, 77, and 
79), in which e 3 is a quadratic function of the q's, and Aj independent of the q'a. 
In this case we have 



(2 ')*( - 



P(Jn) 



+ i) 



94 CERTAIN IMPORTANT FUNCTIONS 

falls within given limits is independent also of the value of 
the modulus, being determined entirely by the number of 
degrees of freedom of the system and the limiting values 
of the ratio. 

The average value of any function of the kinetic energy, 
either for the whole ensemble, or for any particular configura- 
tion, is given by 

p 

?-i 
ue e,2 de p *(291) 



Thus: 

^"' if m + ^>> t(292) 



* The corresponding equation for the average value of any function of 
the potential energy, when this is a quadratic function of the ^'s, and A is 
independent of the q's, is 



In the same case, the average value of any function of the (total) energy is 
given by the equation 



Hence in this case 






j . f m + n>0- 



and = , if 



ii f vy 

If n = 1, e* = 2 ir and d^jde = for any value of e. If n = 2, the case is 
the same with respect to 2 . 

t This equation has already been proved for positive integral powers of 
the kinetic energy. See page 77. 



OF THE ENERGIES OF A SYSTEM. 95 



n n 



-) /o _\9 ^2 ~j if w > 1 ; (294) 

if n > 2 ; (295) 

= . (296) 

If n = 2, e* p = 2 TT, and d<j> p /de p = 0, for any value of e p . 
The definitions of F, V# and F^, give 



(297) 

where the integrations cover all phases for which the energy 
is less than the limit e, for which the value of Fis sought. 
This gives 






V=Cv p dV q , (298) 

and ,-j-r 9= 6 

e* = -~ f e^ p dV n , (299} 

de j 

where V p and e^ p are connected with V q by the equation 

p + e q = constant ~ e. (300) 

If n > 2, e*? vanishes at the upper limit, i. e., for e p = 0, and 
we get by another differentiation 



q= 



We may also write 

6 2 = e 

F= J "P;/ 9 ^, (302) 



* r 
=J 



(303) 



96 CERTAIN IMPORTANT FUNCTIONS 

etc., when V q is a continuous function of e q commencing with 
the value V q = 0, or when we choose to attribute to V q a 
fictitious continuity commencing with the value zero, as de- 
scribed on page 90. 

If we substitute hi these equations the values of V p and e^p 
which we have found, we get 



^= r/il /^ < - <) <* ^ ' (304) 



(305) 



where e^ c?e g may be substituted for d V q in the cases above 
described. If, therefore, n is known, and V q as function of 
p V and e^ may be found by quadratures. 

It appears from these equations that F"is always a continu- 
ous increasing function of e, commencing with the value V= 
0, even when this is not the case with respect to V q and e q . 
The same is true of e^, when n > 2, or when n = 2 if V q in- 
creases continuously with e q from the value V q = 0. 

The last equation may be derived from the preceding by 
differentiation with respect to e. Successive differentiations 
give, if h < } n + 1, 



d h Vjd<? is therefore positive if A < J n + 1. It is an in- 
creasing function of e, if h < Jw. If e is not capable of 
being diminished without limit, d h Vjd^ vanishes for the 
least possible value of e, if h < \n. 
If n is even, 

n 

(307) 



OF THE ENERGIES OF A SYSTEM. 97 



That is, V is the same function of e# as - - of e. 



When n is large, approximate formulae will be more avail- 
able. It will be sufficient to indicate the method proposed, 
without precise discussion of the limits of its applicability or 
of the degree of its approximation. For the value of e^ cor- 
responding to any given e, we have 



/ = e 



* de q = 6**+** de p , (308) 



where the variables are connected by the equation (300). 
The maximum value of <f) p + <f> Q is therefore characterized by 
the equation 

(309) 



de, de, 



The values of e p and e q determined by this maximum we shall 
distinguish by accents, and mark the corresponding values of 
functions of e p and e q in the same way. Now we have by 
Taylor's theorem 



If the approximation is sufficient without going beyond the 
quadratic terms, since by (300) 

P ~ P' = - ( e * - /) 
we may write 

+^( d ^ P \'( d \}'-\(^ii^ 

2 *. ( 312 > 



where the limits have been made oo for analytical simplicity. 
This is allowable when the quantity in the square brackets 
has a very large negative value, since the part of the integral 

7 



98 CERTAIN IMPORTANT FUNCTIONS 

corresponding to other than very small values of e q e q f may 
be regarded as a vanishing quantity. 
This gives 

> _ A/+V /-ON 

(313) 




or 

^V+^' + ilog(2,)-ilog[-(^)'-(^)']. (3U) 

From this equation, with (289), (300) and (309), we .may 
determine the value of $ corresponding to any given value of 
e, when <j> q is known as function of e q . 

Any two systems may be regarded as together forming a 
third system. If we have F or $ given as function of e for 
any two systems, we may express by quadratures J^and $ for 
the system formed by combining the two. If we distinguish 
by the suffixes ( ) x , ( ) 2 , ( ) 12 the quantities relating to 
the three systems, we have easily from the definitions of these 
quantities 



=ff 



(sis) 



$12 | 04 > *f7T7' / p^ 1 fj T7" / n^ 1 ' ^ 2 x7 /O-1 \ 

/ / y 

where the double integral is to be taken within the limits 

Vi = 0, V 2 = 0, and e l + e 2 = e 12 , 

and the variables in the single integrals are connected by the 
last of these equations, while the limits are given by the first 
two, which characterize the least possible values of e 1 and e 2 
respectively. 

It will be observed that these equations are identical in 
form with those by which F'and $ are derived from V p or cf> p 
and V q or <f> q , except that they do not admit in the general 
case those transformations which result from substituting for 
V p or (f> p the particukr functions which these symbols always 
represent. 



OF THE ENERGIES OF A SYSTEM. 99 

Similar formulae may be used to derive V q or <j> q for the 
compound system, when one of these quantities is known. 
as function of the potential energy in each of the systems 
combined. 

The operation represented by such an equation as 



C 

= I 



01 02 

e e 



is identical with one of the fundamental operations of the 
theory of errors, viz., that of finding the probability of an error 
from the probabilities of partial errors of which it is made up. 
It admits a simple geometrical illustration. 

We may take a horizontal line as an axis of abscissas, and lay 
off 61 as an abscissa measured to the right of any origin, and 
erect e^i as a corresponding ordinate, thus determining a certain 
curve. Again, taking a different origin, we may lay off e 2 as 
abscissas measured to the left, and determine a second curve by 
erecting the ordinates e^. We may suppose the distance be- 
tween the origins to be e 12 , the second origin being to the right 
if e 12 is positive. We may determine a third curve by erecting 
at every point in the line (between the least values of ei and e 2 ) 
an ordinate which represents the product of the two ordinates 
belonging to the curves already described- The area between 
this third curve and the axis of abscissas will represent the value 
of e^ 12 . To get the value of this quantity for varying values 
of 6 12 , we may suppose the first two curves to be rigidly con- 
structed, and to be capable of being moved independently. We 
may increase or diminish e 12 by moving one of these curves to 
the right or left. The third curve must be constructed anew 
for each different value of e 12 . 



CHAPTER IX. 
THE FUNCTION < AND THE CANONICAL DISTRIBUTION. 

IN this chapter we shall return to the consideration of the 
canonical distribution, in order to investigate those properties 
which are especially related to the function of the energy 
which we have denoted by </>. 

If we denote by JV, as usual, the total number of systems 
in the ensemble, 



will represent the number having energies between the limits 
e and e + de. The expression 



Ne 



(317) 



represents what may be called the density-in-energy. This 
vanishes for e = GO, for otherwise the necessary equation 



(318) 



could not be fulfilled. For the same reason the density-in- 
energy will vanish for e = co, if that is a possible value of 
the energy. Generally, however, the least possible value of 
the energy will be a finite value, for which, if n > 2, e* will 
vanish,* and therefore the density-in-energy. Now the density- 
in-energy is necessarily positive, and since it vanishes for 
extreme values of the energy if n > 2, it must have a maxi- 
mum in such cases, in which the energy may be said to have 

* See page 96. 



THE FUNCTION 0. 101 

its most common or most probable value, and which is 
determined by the equation 

d(f> 1 

de * ^ ' 

This value of d(f>/de is also, when n > 2, its average value 
in the ensemble. For we have identically, by integration by 
parts, 

'''= ! +4> r ~ 

v'=o v=o 

If n > 2, the expression in the brackets, which multiplied by N 
would represent the density-in-energy, vanishes at the limits, 
and we have by (269) and (318) 



It appears, therefore, that for systems of more tfyan two degrees 
of freedom, the average value of d$/de in an eiis^ri^y canpni- / 
cally distributed is identical with the value of the same, 
ential coefficient as calculated for the most .eoavrooi'. < 
in the ensemble, both values being reciprocals of the modulus. 
Hitherto, in our consideration of the quantities F", V# V p , <, 
</V 4>pi we have regarded the external coordinates as constant. 
It is evident, however, from their definitions that V and < are 
in general functions of the external coordinates and the energy 
(e), that V q and $ g are in general functions of the external 
coordinates and the potential energy (e g ). V p and <f> p we have 
found to be functions of the kinetic energy (e p ) alone. In the 
equation 



-/ 



de, (322) 



by which -vfr may be determined, O and the external coordinates 
(contained implicitly in <) are constant in the integration. 
The equation shows that i|r is a function of these constants. 



102 TH& FUNCTION <j> AND 

If their values are varied, we shall have by differentiation, if 
n >2 



v=o 



+ dai f*4. e ~e + *<l e + da, f|* <f + V + etc. (323) ' 
J dci^ J da 2 

V=0 V=Q 

(Since e* vanishes with F", when n > 2, there are no terms due 
to the variations of the limits.) Hence by (269) 



or, since ^ (325) 





<fy = ^0 - - dox - da, - etc. (326) 

ttCt^ tt^ 

Comparing iliis with (112), we get 



The first of these equations might be written* 

r) < 328 ) 



but must not be confounded with the equation 



d+\ fdf\ (de\ 

^A,~ W W*.. 

which is derived immediately from the identity 

=-\ L\ ( 330 ) 



* See equations (321) and (104). Suffixes are here added to the differential 
coefficients, to make the meaning perfectly distinct, although the same quan- 
tities may be written elsewhere without the suffixes, when it is believed that 
there is no danger of misapprehension. The suffixes indicate the quantities 
which are constant in the differentiation, the single letter a standing for all 
the letters a 1} 2 , etc., or all except the one which is explicitly varied. 



THE CANONICAL DISTRIBUTION. 103 

Moreover, if we eliminate dty from (326) by the equation 

d^ = 0^ + ^d + de, (331) 

obtained by differentiating (325), we get 

de = -dv-!Jr-da l - < Q-da 2 - etc., (332) 

Cia-l OLa^, 

or by (321), 

. _^ = ^e + ^^ + ^^ + etc. (333) 

de da, aa 2 

Except for the signs of average, the second member of this 
equation is the same as that of the identity 

ty = ^de + ?da l + ^da 2 + etc. (334) 

de da l da 2 

For the more precise comparison of these equations, we may 
suppose that the energy in the last equation is some definite 
and fairly representative energy in the ensemble. For this 
purpose we might choose the average energy. It will per- 
haps be more convenient to choose the most common energy, 
which we shall denote by e . The same suffix will be applied 
to functions of the energy determined for this value. Our 
identity then becomes 



= de + da, + da, + etc. (335) 

\de J \dajo \da 2 J 

It has been shown that 

? = (^ = l, (336) 

de \de) ' 

when n > 2. Moreover, since the external coordinates have 
constant values throughout the ensemble, the values of 
d(p/da v d(f>Jda^ etc. vary in the ensemble only on account 
of the variations of the energy (e), which, as we have seen, 
may be regarded as sensibly constant throughout the en- 
semble, when n is very great. In this case, therefore, we may 
regard the average values 

<25 ~d4 

-5-S -=-S etc., 



104 THE FUNCTION < AND 

as practically equivalent to the values relating to the most 
common energy 

I j ( j j etc. 
dtti JQ \ d&z J Q 

In this case also de is practically equivalent to de Q . We have 
therefore, for very large values of n, 

dri d<f> Q (337) 

approximately. That is, except for an additive constant, 77 
may be regarded as practically equivalent to < , when the 
number of degrees of freedom of the system is very great. 
It is not meant by this that the variable part of rj + < is 
numerically of a lower order of magnitude than unity. For 
when n is very great, 77 and $ are very great, and we can 
only conclude that the variable part of 77 + < is insignifi- 
cant compared with the variable part of rj or of < , taken 
separately. 

Now we have already noticed a certain correspondence 
between the quantities and 77 and those which in thermo- 
dynamics are called temperature and entropy. The property 
just demonstrated, with those expressed by equation (336), 
therefore suggests that the quantities <f> and de/dQ may also 
correspond to the thermodynamic notions of entropy and tem- 
perature. We leave the discussion of this point to a sub- 
sequent chapter, and only mention it here to justify the 
somewhat detailed investigation of the relations of these 
quantities. 

We may get a clearer view of the limiting form of the 
relations when the number of degrees of freedom is indefi- 
nitely increased, if we expand the function <j> in a series 
arranged according to ascending powers of e e . This ex- 
pansion may be written 



( f ) 

( ~ ^ 

(338) 



Adding the identical equation 



THE CANONICAL DISTRIBUTION. 105 

\/ 6 ^ Q 6 



> 




(339) 

Substituting this value in 



which expresses the probability that the energy of an unspeci- 
fied system of the ensemble lies between the limits e' and e", 
we get 



- 

**. (340) 

When the number of degrees of freedom is very great, and 
e e in consequence very small, we may neglect the higher 
powers and write* 



i . 

" (341) 



This shows that for a very great number of degrees of 
freedom the probability of deviations of energy from the most 
probable value (e ) approaches the form expressed by the 
'law of errors.' With this approximate law, we get 

* If a higher degree of accuracy is desired than is afforded by this formula, 
it may be multiplied by the series obtained from 



by the ordinary formula for the expansion in series of an exponential func- 
tion. There would be no especial analytical difficulty in taking account of 
a moderate number of terms of such a series, which would commence 



106 THE FUNCTION <j> AND 



(343) 
whence 



(344) 



Now it has been proved in Chapter VII that 



7 - ^ _ 2 

( 6 ~~ e ) ~ ~r~ P ' 
n de p p 

We have therefore 



approximately. The order of magnitude of rj < is there- 
fore that of log n. This magnitude is mainly constant. 
The order of magnitude of rj + <p Q \ log n is that of unity. 
The order of magnitude of </> , and therefore of 77, is that 
of n.* 

Equation (338) gives for the first approximation 



(1^ = _, (346) 






( *-*>(.-0 = ^ = *, W 



/ . __ , Y ( 6 ~ 6 o) 2 = ^ ^f (348) 

ap 

The members of the last equation have the order of magnitude 
of n. Equation (338) gives also for the first approximation 



d e fi\ ~ \ ^2 / v e o)> 
* Compare (289), (314). 



THE CANONICAL DISTRIBUTION. 107 

whence 



This is of the order of magnitude of n.* 

It should be observed that the approximate distribution of 
the ensemble in energy according to the 'law of errors' is 
not dependent on the particular form of the function of the 
energy which we have assumed for the index of probability 
(77). In any case, we must have 



(351) 



where e^+t is necessarily positive. This requires that it 
shall vanish for e = oo , and also for e = oo , if this is a possi- 
ble value. It has been shown in the last chapter that if e has 
a (finite) least possible value (which is the usual case) and 
n > 2, e* will vanish for that least value of e. In general 
therefore 77 + < will have a maximum, which determines the 
most probable value of the energy. If we denote this value 
by e > and distinguish the corresponding values of the func- 
tions of the energy by the same suffix, we shall have 



- a 

The probability that an unspecified system of the ensemble 

* We shall find hereafter that the equation 



is exact for any value of n greater than 2, and that the equation 



fd(f> IV __ <^0 
\d* ) ' rf? 
is exact for any value of n greater than 4. 



108 THE FUNCTION < AND 

falls within any given limits of energy (e' and e") is repre- 
sented by 



f 



e^de. 



If we expand 77 and < in ascending powers of e e , without 
going beyond the squares, the probability that the energy falls 
within the given limits takes the form of the law of errors ' 



de. (353) 

i/ 

This gives 




We shall have a close approximation in general when the 
quantities equated in (355) are very small, i. e., when 

is very great. Now when n is very great, d*$/de* is of the 
same order of magnitude, and the condition that (356) shall 
be very great does not restrict very much the nature of the 
function 77. 

We may obtain other properties pertaining to average values 
in a canonical ensemble by the method used for the average of 
d<j>/de. Let u be any function of the energy, either alone or 
with and the external coordinates. The average value of u 
in the ensemble is determined by the equation 

6=00 4,-e 

/- - + 4> 
ue e de. (357) 

F=0 



THE CANONICAL DISTRIBUTION. 109 

Now we have identically 



Therefore, by the preceding equation 



If we set u = 1, (a value which need not be excluded,) the 
second member of this equation vanishes, as shown on page 
101, if n > 2, and we get 

^ = i, (360) 

as before. It is evident from the same considerations that the 
second member of (359) will always vanish if n > 2, unless u 
becomes infinite at one of the limits, in which case a more care- 
ful examination of the value of the expression will be necessary. 
To facilitate the discussion of such cases, it will be convenient 
to introduce a certain limitation in regard to the nature of the 
system considered. We have necessarily supposed, in all our 
treatment of systems canonically distributed, that the system 
considered was such as to be capable of the canonical distri- 
bution with the given value of the modulus. We shall now 
suppose that the system is such as to be capable of a canonical 
distribution with any (finite) f modulus. Let us see what 
cases we exclude by this last limitation. 

* A more general equation, which is not limited to ensembles canonically 
distributed, is 

^ + M ^4. M ^- \ue f *~\* = * > 
df U de U de ~ I"* J F=0 

where t\ denotes, as usual, the index of probability of phase. 

t The term finite applied to the modulus is intended to exclude the value 
zero as well as infinity. 



110 THE FUNCTION AND 

The impossibility of a canonical distribution occurs when 
the equation 



e e 



e = e 

s* l-j-0 

=J e ' de (361) 

F=0 



fails to determine a finite value for ^. Evidently the equation 
cannot make ty an infinite positive quantity, the impossibility 
therefore occurs when the equation makes ty = oo . Now 
we get easily from (191) 



If the canonical distribution is possible for any values of , 
we can apply this equation so long as the canonical distribu- 
tion is possible. The equation shows that as is increased 
(without becoming infinite) ty cannot become infinite unless 
6 simultaneously becomes infinite, and that as O is decreased 
(without becoming zero) ^ cannot become infinite unless 
simultaneously e becomes an infinite negative quantity. The 
corresponding cases in thermodynamics would be bodies which 
could absorb or give out an infinite amount of heat without 
passing certain limits of temperature, when no external work 
is done in the positive or negative sense. Such infinite values 
present no analytical difficulties, and do not contradict the 
general laws of mechanics or of thermodynamics, but they 
are quite foreign to our ordinary experience of nature. In 
excluding such cases (which are certainly not entirely devoid 
of interest) we do not exclude any which are analogous to 
any actual cases in thermodynamics. 

We assume then that for any finite value of the second 
member of (361) has a finite value. 

When this condition is fulfilled, the second member of 
(359) will vanish for u = e~+ V. For, if we set 6' = 26, 

? ___! _ f _ ^ 

F = V = 



THE CANONICAL DISTRIBUTION. Ill 

where ty r denotes the value of ^ for the modulus '. Since 
the last member of this formula vanishes for e = oo , the 
less value represented by the first member must also vanish 
for the same value of e. Therefore the second member of 
(359), which differs only by a constant factor, vanishes at 
the upper limit. The case of the lower limit remains to be 
considered. Now 



The second member of this formula evidently vanishes for 
the value of e, which gives V 0, whether this be finite or 
negative infinity. Therefore, the second member of (359) 
vanishes at the lower limit also, and we have 



V 



or e V=. (362) 

This equation, which is subject to no restriction in regard to 
the value of n, suggests a connection or analogy between the 
function of the energy of a system which is represented by 
iT^ V and the notion of temperature in thermodynamics. We 
shall return to this subject in Chapter XIV. 

If n > 2, the second member of (359) may easily be shown 
to vanish for any of the following values of u viz. : </>, e^, e, 
e"*, where m denotes any positive number. It will also 
vanish, when n > 4, for u = dfyde, and when n > 2 h for 
u = e-* d h V/d^. When the second member of (359) van- 
ishes, and n > 2, we may write 



We thus obtain the following equations : 
If n > 2, 



(364) 



112 



THE FUNCTION </> AND 



or 



If w > 4, 



If n 




2 



-<t>d h Vd<f> 1 - 
6 -d?-fc- 6 



e ' -Tjr-j e 
de 1 ae 



or 



(368) 
t(369) 



(370) 



whence " ^- = ^. 

Giving A the values 1, 2, 3, etc., we have 




as already obtained. Also 



* This equation may also be obtained from equations (252) and (321). 
Compare also equation (349) which was derived by an approximative method, 
t Compare equation (360), obtained by an approximative method. 



THE CANONICAL DISTRIBUTION. 113 

If V q is a continuous increasing function of e g , commencing 
with V q = 0, the average value in a canonical ensemble of any 
function of e^, either alone or with the modulus and the exter- 
nal coordinates, is given by equation (275), which is identical 
with (357) except that e, $, and \jr have the suffix ( ) ff . The 
equation may be transformed so as to give an equation iden- 
tical with (359) except for the suffixes. If we add the same 
suffixes to equation (361), the finite value of its members will 
determine the possibility of the canonical distribution. 

From these data, it is easy to derive equations similar to 
(360), (362)-(372), except that the conditions of their valid- 
ity must be differently stated. The equation 



requires only the condition already mentioned with respect to 
V q . This equation corresponds to (362), which is subject to 
no restriction with respect to the value of n. We may ob- 
serve, however, that V will always satisfy a condition similar 
to that mentioned with respect to V r 

If V q satisfies the condition mentioned, and e^ a similar 
condition, i. e., if e^i is a continuous increasing function of e 3 , 
commencing with the value (^ = 0, equations will hold sim- 
ilar to those given for the case when n > 2, viz., similar to 
(360), (364)-(368). Especially important is 



de q ~' 

If V q , 6*4 (or dV q /dq), d?V q /de* all satisfy similar conditions, 
we shall have an equation similar to (369), which was subject 
to the condition n > 4. And if cPVqjdef also satisfies a 
similar condition, we shall have an equation similar to (372), 
for which the condition was n > 6. Finally, if V q and h suc- 
cessive differential coefficients satisfy conditions of the kind 
mentioned, we shall have equations like (370) and (371) for 
which the condition was n > 2 h. 

8 



114 THE FUNCTION <. 

These conditions take the place of those given above relat- 
ing to n. In fact, we might give conditions relating to the 
differential coefficients of F", similar to those given relating to 
the differential coefficients of V q , instead of the conditions 
relating to n, for the validity of equations (360), (363)-(372). 
This would somewhat extend the application of the equations. 



CHAPTER X. 

ON A DISTRIBUTION IN PHASE CALLED MICROCANONI- 
CAL IN WHICH ALL THE SYSTEMS HAVE 
THE SAME ENERGY. 

AN important case of statistical equilibrium is that in which 
all systems of the ensemble have the same energy. We may 
arrive at the notion of a distribution which will satisfy the 
necessary conditions by the following process. We may 
suppose that an ensemble is distributed with a uniform den- 
sity-in-phase between two limiting values of the energy, e' and 
e", and with density zero outside of those limits. Such an 
ensemble is evidently in statistical equilibrium according to 
the criterion in Chapter IV, since the density-in-phase may be 
regarded as a function of the energy. By diminishing the 
difference of e' and e", we may diminish the differences of 
energy in the ensemble. The limit of this process gives us 
a permanent distribution in which the energy is constant. 

We should arrive at the same result, if we should make the 
density any function of the energy between the limits e' and 
e", and zero outside of those limits. Thus, the limiting distri- 
bution obtained from the part of a canonical ensemble 
between two limits of energy, when the difference of the 
limiting energies is indefinitely diminished, is independent of 
the modulus, being determined entirely by the energy, and 
is identical with the limiting distribution obtained from a 
uniform density between limits of energy approaching the 
same value. 

We shall call the limiting distribution at which we arrive 
by this process microcanonical. 

We shall find however, in certain cases, that for certain 
values of the energy, viz., for those for which e* is infinite, 



116 A PERMANENT DISTRIBUTION IN WHICH 

this process fails to define a limiting distribution in any such 
distinct sense as for other values of the energy. The difficulty 
is not in the process, but in the nature of the case, being 
entirely analogous to that which we meet when we try to find 
a canonical distribution in cases when ^ becomes infinite. 
We have not regarded such cases as affording true examples 
of the canonical distribution, and we shall not regard the cases 
in which e^ is infinite as affording true examples of the micro- 
canonical distribution. We shall in fact find as we go on that 
in such cases our most important formulae become illusory. 

The use of formulae relating to a canonical ensemble which 
contain e^de instead of dp l . . . dq n , as in the preceding chapters, 
amounts to the consideration of the ensemble as divided into 
an infinity of microcanonical elements; 

From a certain point of view, the microcanonical distribution 
may seem more simple than the canonical, and it has perhaps 
been more studied, and been regarded as more closely related 
to the fundamental notions of thermodynamics. To this last 
point we shall return in a subsequent chapter. It is sufficient 
here to remark that analytically the canonical distribution is 
much more manageable than the microcanonical. 

We may sometimes avoid difficulties which the microcanon- 
ical distribution presents by regarding it as the result of the 
following process, which involves conceptions less simple but 
more amenable to analytical treatment. We may suppose an 
ensemble distributed with a density proportional to 



where &> and e 1 are constants, and then diminish indefinitely 
the value of the constant &>. Here the density is nowhere 
zero until we come to the limit, but at the limit it is zero for 
all energies except e'. We thus avoid the analytical compli- 
cation of discontinuities in the value of the density, which 
require the use of integrals with inconvenient limits. 

In a microcanonical ensemble of systems the energy (e) is 
constant, but the kinetic energy (e^) and the potential energy 



ALL SYSTEMS HAVE THE SAME ENERGY. 117 

(e q ) vary in the different systems, subject of course to the con- 
dition 

p -f e q = e = constant. (373) 

Our first inquiries will relate to the division of energy into 
these two parts, and to the average values of functions of e p 
and e q . 

We shall use the notation y\ 6 to denote an average value in 
a microcanonical ensemble of energy e. An average value 
in a canonical ensemble of modulus (D, which has hitherto 
been denoted by M, we shall in this chapter denote by '^@, to 
distinguish more clearly the two kinds of averages. 

The extension-in-phase within any limits which can be given 
in terms of e p and e q may be expressed in the notations of the 
preceding chapter by the double integral 

*dV p dVq 

taken within those limits. If an ensemble of systems is dis- 
tributed within those limits with a uniform density-in-phase, 
the average value in the ensemble of any function (u) of the 
kinetic and potential energies will be expressed by the quotient 

of integrals 

/ r 

udVpdVq 



dVpdVq 



Since d V p = e^ p de p , and de p = de when e q is constant, the 
expression may be written 



To get the average value of u in an ensemble distributed 
microcanonically with the energy 6, we must make the in- 
tegrations cover the extension-in-phase between the energies 
e and e + de. This gives 



118 A PERMANENT DISTRIBUTION IN WHICH 



de\ue Vp dV q 



v q =o 

But by (299) the value of the integral in the denominator 
is e^. We have therefore 



(374) 



where e^ p and V q are connected by equation (373), and w, if 
given as function of e p , or of e p and e q , becomes in virtue of 
the same equation a function of e q alone. 

We shall assume that e^ has a finite value. If n > 1, it is 
evident from equation (305) that e^ is an increasing function 
of e, and therefore cannot be infinite for one value of e without 
being infinite for all greater values of e, which would make 
ty infinite.* When n > 1, therefore, if we assume that e^ 
is finite, we only exclude such cases as we found necessary 
to exclude in the study of the canonical distribution. But 
when n = 1, cases may occur in which the canonical distribu- 
tion is perfectly applicable, but in which the formulae for the 
microcanonical distribution become illusory, for particular val- 
ues of e, on account of the infinite value of e^. Such failing 
cases of the microcanonical distribution for particular values 
of the energy will not prevent us from regarding the canon- 
ical ensemble as consisting of an infinity of microcanonical 
ensembles, f 

* See equation (322). 

t An example of the failing case of the microcanonical distribution is 
afforded by a material point, under the influence of gravity, and constrained 
to remain in a vertical circle. The failing case occurs when the energy is 
just sufficient to carry the material point to the highest point of the circle. 

It will be observed that the difficulty is inherent in the nature of the case, 
and is quite independent of the mathematical formulae. The nature of the 
difficulty is at once apparent if we try to distribute a finite number of 




ALL SYSTEMS HAVE THE SAME ENERGY. 119 
From the last equation, with (298), we get 

= e~* V. (375) 

But by equations (288) and (289) 

-V,-?*. (376) 

Therefore 

e~* V e~ P "Pjj e = - ep\e . (377) 

Again, with the aid of equation (301), we get 

= (378) 



Vq=0 

if n > 2. Therefore, by (289) 



These results are interesting on account of the relations of 
the functions e~$ V and -^ to the notion of temperature in 

thermodynamics, a subject to which we shall return here- 
after. They are particular cases of a general relation easily 
deduced from equations (306), (374), (288) and (289). We 
have 



' ' r : , . w < 



f* 

=J 



The equation may be written 

g=< 



material points with this particular value of the energy as nearly as possible 
in statistical equilibrium, or if we ask : What is the probability that a point 
taken at random from an ensemble in statistical equilibrium with this value 
of the energy will be found in any specified part of the circle? 



120 A PERMANENT DISTRIBUTION IN WHICH 
We have therefore 



if h < J- n + 1. For example, when w is even, we may make 
A = i- n, which gives, with (307), 



1-2 



(381) 



Since any canonical ensemble of systems may be regarded 
as composed of microcanonical ensembles, if any quantities 
u and v have the same average values in every microcanonical 
ensemble, they will have the same values in every canonical 
ensemble. To bring equation (380) formally under this rule, 
we may observe that the first member being a function of e is 
a constant value in a microcanonical ensemble, and therefore 
identical with its average value. We get thus the general 
equation 



.-*? 



if h < J n + 1.* The equations 

. 9 _ 

(383) 



may be regarded as particular cases of the general equation. 
The last equation is subject to the condition that n > 2. 

The last two equations give for a canonical ensemble, 
x if n > 2, 

(l-|)^leV^] -l. (385) 

The corresponding equations for a microcanonical ensemble 
give, if n > 2, 

\l 1 A 1 ' _1| ^V* /OQ\ 

I 1 - = I W V> = ^wTF' ( 386 ) 



See equation (292). 



ALL SYSTEMS HAVE THE SAME ENERGY. 121 

which shows that d$ dlog V approaches the value unity 
when n is very great. 

If a system consists of two parts, having separate energies, 
we may obtain equations similar in form to the preceding, 
which relate to the system as thus divided.* We shall 
distinguish quantities rekting to the parts by letters with 
suffixes, the same letters without suffixes relating to the 
whole system. The extension-in-phase of the whole system 
within any given limits of the energies may be represented by 
the double integral 



taken within those limits, as appears at once from the defini- 
tions of Chapter VIII. In an ensemble distributed with 
uniform density within those limits, and zero density outside, 
the average value of any function of e 1 and e a is given by the 
quotient 



which may also be written f 



If we make the limits of integration e and e + de, we get the 

* If this condition is rigorously fulfilled, the parts will have no influence 
on each other, and the ensemble formed by distributing the whole micro- 
canonically is too arbitrary a conception to have a real interest. The prin- 
cipal interest of the equations which we shall obtain will be in cases in 
which the condition is approximately fulfilled. But for the purposes of a 
theoretical discussion, it is of course convenient to make such a condition 
absolute. Compare Chapter IV, pp. 35 ff., where a similar condition is con- 
sidered in connection with canonical ensembles. 

t Where the analytical transformations are identical in form with those 
on the preceding pages, it does not appear necessary to give all the steps 
with the same detail. 



122 A PERMANENT DISTRIBUTION IN WHICH 

average value of u in an ensemble in which the whole system 
is microcanonically distributed in phase, viz., 



(387) 



where fa and V 2 are connected by the equation 

i + 2 = constant = e, (388) 

and u, if given as function of ei , or of ei and e 2 , becomes in 

virtue of the same equation a function of e 2 alone.* 

Thus 



Je = e+ J F! rf F 2 , (389) 

(390) 



This requires a similar relation for canonical averages 

= e ~+ V\ e = e^rje = e~+*V\* . (391) 

Again 

e 2 =e 

SB =e-*f ^V'rfF,. (392) 

de l |e J de l 

F^O 

But if w : > 2, *i vanishes for Fj = 0,f and 



. (393) 

de 



Hence, if n^ > 2, and w 2 > 2, 

d<f> _ dfal _ dfa\ /qq .. 

^e ~ ^ | f ~ de z \f 

* In the applications of the equation (387), we cannot obtain all the results 
corresponding to those which we have obtained from equation (374), because 
<t> p is a known function of e p , while fa must be treated as an arbitrary func- 
tion of j , or nearly so. 

t See Chapter VIII, equations (306) and (316). 



ALL SYSTEMS HAVE THE SAME ENERGY. 123 



and s 5l =^\ = ^ (395) 

de | rfej J0 rfe 2 |e 

We have compared certain functions of the energy of the 
whole system with average values of similar functions of 
the kinetic energy of the whole system, and with average 
values of similar functions of the whole energy of a part of 
the system. We may also compare the same functions with 
average values of the kinetic energy of a part of the system. 

We shall express the total, kinetic, and potential energies of 
the whole system by e, e p , and e g , and the kinetic energies of the 
parts by e^, and e 2p . These kinetic energies are necessarily sep- 
arate : we need not make any supposition concerning potential 
energies. The extension-in-phase within any limits which can 
be expressed in terms of e g , e^, e zp may be represented in the 
notations of Chapter VIII by the triple integral 



taken within those limits. And if an ensemble of systems is 
distributed with a uniform density within those limits, the 
average value of any function of e q , e^, e^ will be expressed 
by the quotient 



fffue^ded V Zp d V q 



or 



To get the average value of u for a microcanonical distribu- 
tion, we must make the limits e and e + de. The denominator 
in this case becomes e^ de, and we have 

C 2p =C Cq 

(396) 



124 A PERMANENT DISTRIBUTION IN WHICH 
where 0^, V 2P , and V q are connected by the equation 

i p + 2p + e q = constant = e. 
Accordingly 



J V lp dV 2p dV q = e-* V, (397) 



and we may write 



;r 2 , 2 j /onON 

2p | 6 = e^l = -^| e , (398) 



and 



O f) 

r \ _ _ ^ I __ ^ | ('399') 



Again, if w x > 2, 



C 9 = (ft (ft 

~* C^'jir "*"** 

= e J ^ dF i= ir* 



Hence, if ^ > 2, and w 2 > 2, 



_ 2p _ f i 1 N -1) _ /I w -IN f -11 

de ~de~l '* "~ '' p ^ ~ ^ ~~ ' p ' 




We cannot apply the methods employed in the preceding 
pages to the microcanonical averages of the (generalized) 
forces A v Ay, etc., exerted by a system on external bodies, 
since these quantities are not functions of the energies, either 
kinetic or potential, of the whole or any part of the system. 
We may however use the method described on page 116. 



ALL SYSTEMS HAVE THE SAME ENERGY. 125 

Let us imagine an ensemble of systems distributed in phase 
according to the index of probability 

(e - c'V 



where e f is any constant which is a possible value of the 
energy, except only the least value which is consistent with 
the values of the external coordinates, and c and o> are other 
constants. We have therefore 



all 

c 



e, w dp l . . . dq n 1, (403) 

phases 



or e =...e d Pl . . . dq n , (404) 

phases 



_ c | g 

or again e = C e ^ de. (405) 



From (404) we have 

all 



phases 

= 00 



, j 

^ (406) 



where H7i e denotes the average value of A 1 in those systems 
of the ensemble which have any same energy e. (This 
is the same thing as the average value of A l in a microcanoni- 
cal ensemble of energy e.) The validity of the transformation 
is evident, if we consider separately the part of each integral 
which lies between two infimtesimally differing limits of 
energy. Integrating by parts, we get 



126 A PERMANENT DISTRIBUTION IN WHICH 



Jr=o 

(*-O, 

j . v ' - "j~Q> 

F=0 ^ / 

Differentiating (405), we get 

=00 (f-O 2 (*~O 2 

de-* rdcj> rf+* _ / - ~~rf~ +<t> de a \ 

T = I -- e de[e } 

^ da^ J dc^ \ ddij 

where e a denotes the least value of e consistent with the exter- 
nal coordinates. The last term in this equation represents the 
part of de~ c jda^ which is due to the variation of the lower 
limit of the integral. It is evident that the expression in the 
brackets will vanish at the upper limit. At the lower limit, 
at which e p = 0, and e q has the least value consistent with the 
external coordinates, the average sign on ^] 6 is superfluous, 
as there is but one value of A 1 which is represented by 
de a /da r Exceptions may indeed occur for particular values 
of the external coordinates, at which dejda^ receive a finite 
increment, and the formula becomes illusory. Such particular 
values we may for the moment leave out of account. The 
last term of (408) is therefore equal to the first term of the 
second member of (407). (We may observe that both vanish 
when n > 2 on account of the factor e$.) 
We have therefore from these equations 



F=0 



or 



That is : the average value in the ensemble of the quantity 
represented by the principal parenthesis is zero. This must 




ALL SYSTEMS HAVE THE SAME ENERGY. 127 

be true for any value of . If we diminish o>, the average 
value of the parenthesis at the limit when vanishes becomes 
identical with the value for e = e'. But this may be any value 
of the energy, except the least possible. We have therefore 



unless it be for the least value of the energy consistent with 
the external coordinates, or for particular values of the ex- 
ternal coordinates. But the value of any term of this equa- 
tion as determined for particular values of the energy and 
of the external coordinates is not distinguishable from its 
value as determined for values of the energy and external 
coordinates indefinitely near those particular values. The 
equation therefore holds without limitation. Multiplying 
by e*, we get 



= e== 



The integral of this equation is 



where F l is a function of the external coordinates. We have 
an equation of this form for each of the external coordinates. 
This gives, with (266), for the complete value of the differen- 
tial of V 

dV=e*de + (/Al e - ty da,, + (e+^k-F^dat + etc., (413) 
or 

d V= (de + !ZT|e dai + 3^] e da z + etc.) F l da l F z da z etc. 

(414) 

To determine the values of the functions F l , F z , etc., let 
us suppose a-L , 2 , etc. to vary arbitrarily, while e varies so 
as always to have the least value consistent with the values 
of the external coordinates. This will make V= 0, and 
dV= 0. If 7i < 2, we shall have also e* = 0, which will 
give 

JF1 = 0, -F 2 = 0, etc. (415) 



128 THE MICROCANONICAL DISTRIBUTION. 

The result is the same for any value of n. For in the varia- 
tions considered the kinetic energy will be constantly zero, 
and the potential energy will have the least value consistent 
with the external coordinates. The condition of the least 
possible potential energy may limit the ensemble at each in- 
stant to a single configuration, or it may not do so ; but in any 
case the values of A 1 , A v etc. will be the same at each instant 
for all the systems of the ensemble,* and the equation 

de + A l da^ -f A z da z + etc. = 

will hold for the variations considered. Hence the functions 
F^ , F% , etc. vanish in any case, and we have the equation 

d V= e*de + e* Z^d^ + e+~Z^dat + etc., (416) 



de + ~A\,da l + Z^Lrfa 2 + etc. 
or dlogV=;- _ ' 6 - (417) 

or again 

de = e~* V d log V - "27] dot - lj| e da 2 - etc. (418) 

It will be observed that the two last equations have the form 
of the fundamental differential equations of thermodynamics, 
er-^V corresponding to temperature and log V to entropy. 
We have already observed properties of &"*> V suggestive of an 
analogy with temperature, f The significance of these facts 
will be discussed in another chapter. 

The two last equations might be written more simply 

de + 37| dct! + Af da z + etc. 

* ' - 7 - j 

er-4 
de = e~^ d V "37) da^ ~A^\ da 2 etc., 

and still have the form analogous to the thermodynamic 
equations, but e~^ has nothing like the analogies with tempera- 
ture which we have observed in e~^ V. 

* This statement, as mentioned before, may have exceptions for particular 
values of the external coordinates. This will not invalidate the reasoning, 
which has to do with varying values of the external coordinates. 

t See Chapter IX, page 111 ; also this chapter, page 119. 



CHAPTER XI. 

MAXIMUM AND MINIMUM PROPERTIES OF VARIOUS DIS- 
TRIBUTIONS IN PHASE. 

IN the following theorems we suppose, as always, that the 
systems forming an ensemble are identical in nature and in 
the values of the external coordinates, which are here regarded 
as constants. 

Theorem I. If an ensemble of systems is so distributed in 
phase that the index of probability is a function of the energy, 
the average value of the index is less than for any other distri- 
bution in which the distribution in energy is unaltered. 

Let us write TJ for the index which is a function of the 
energy, and 77 + A?? for any other which gives the same dis- 
tribution in energy. It is to be proved that 

all all 

J*. . . J* (i, + Ar,) e"** 1 d Pl ... dq n >f. . . Jr? 6* dp,... dq n , (419) 

pliases phases 

where ?? is a function of the energy, and A?; a function of the 
phase, which are subject to the conditions that 

all all 

J. . . Je^ 4 " dp,... dq n = f. . . J> d&... dy n = 1, (420) 

phases phases 

and that for any value of the energy (e') 



dp,... dq n =. . .fdpi ...dq n . (421) 



Equation (420) expresses the general relations which -77 and 
77 + AT; must satisfy in order to be indices of any distributions, 
and (421) expresses the condition that they give the same 
distribution in energy. 



130 MAXIMUM AND MINIMUM PROPERTIES. 

Since 77 is a function of the energy, and may therefore be re- 
garded as a constant within the limits of integration of (421), 
we may multiply by T; under the integral sign hi both mem- 
bers, which gives 



C 

J. 



71 dp^ . . . dq n . 

U U \J 

=' e' 

Since this is true within the limits indicated, and for every 
value of e', it will be true if the integrals are taken for all 
phases. We may therefore cancel the corresponding parts of 
(419), which gives 

all 

f A r, e 1 ** 11 d Pl ... dq n > 0. (422) 

J 

phases 

But by (420) this is equivalent to 

all 

/. . . / (Ar;e Al7 + 1 e^e'dpi . . . dq n > 0. (423) 
tj 

phases 

Now AT; e^ + 1 e^ is a decreasing function of AT; for nega- 
tive values of AT;, and an increasing function of AT; for positive 
values of AT;. It vanishes for AT; = 0. The expression is 
therefore incapable of a negative value, and can have the value 
only for AT; = 0. The inequality (423) will hold therefore 
unless AT; = for all phases. The theorem is therefore 
proved. 

Theorem II. If an ensemble of systems is canonically dis- 
tributed in phase, the average index of probability is less than 
in any other distribution of the ensemble having the same 
average energy. 

For the canonical distribution let the index be (^ e) / , 
and for another having the same average energy let the index 
be (t/r e)/0 + AT;, where AT; is an arbitrary function of the 
phase subject only to the limitation involved in the notion of 
the index, that 



MAXIMUM AND MINIMUM PROPERTIES. 131 

all itr f a 11 J' 

/(* + AIJ r r 

. . .J e* d Pl . . . dq n =J . . .J e & d Pl . . . dq n = 1, 

phases phases 

(424) 
and to that relating to the constant average energy, that 

all f all 



J. . . Je e"^" 4 * 4,, . . . <*? =J . . . Je e~e~ fe . . . <*?.. (425) 

phases phases 

It is to be proved that 



phases 

all 



phases 

Now in virtue of the first condition (424) we may cancel the 
constant term ^r / in the parentheses in (426), and in virtue 
of the second condition (425) we may cancel the term e/O. 
The proposition to be proved is thus reduced to 

all ty~ 

I A>7 e & dpi . . . dq n > 0, 

phases 

which may be written, in virtue of the condition (424), 

all if/ e 

f. . . f (Ar; e Al? + 1 - /") e~ dpi... dq n > 0. (427) 
J J 

phases 

In this form its truth is evident for the same reasons which 
applied to (423). 

Theorem III. If is any positive constant, the average 
value in an ensemble of the expression 77 -|- e / (77 denoting 
as usual the index of probability and e the energy) is less when 
the ensemble is distributed canonically with modulus , than 
for any other distribution whatever. 

In accordance with our usual notation let us write 
(i/r e) / for the index of the canonical distribution. In any 
other distribution let the index be (>/r e)/ + AT;. 



132 MAXIMUM AND MINIMUM PROPERTIES. 

In the canonical ensemble rj + e / has the constant value 
-|r / <s) ; in the other ensemble it has the value A/T / -f- A?/. 
The proposition to be proved may therefore be written 



all 



phases 

where 



r/- ^ 
d Pl ...dq n =J...Je e d Pl ...d<i, = l. (429) 

phases phases 

In virtue of this condition, since i/r / is constant, the propo- 
sition to be proved reduces to 

all j-t 

// ^r + A f 
...J A^6 < cZq l ...dp n , (430) 

phases 

where the demonstration may be concluded as in the last 
theorem. 

If we should substitute for the energy in the preceding 
theorems any other function of the phase, the theorems, mu- 
tatis mutandis, would still hold. On account of the unique 
importance of the energy as a function of the phase, the theo- 
rems as given are especially worthy of notice. When the case 
is such that other functions of the phase have important 
properties relating to statistical equilibrium, as described 
in Chapter IV,* the three following theorems, which are 
generalizations of the preceding, may be useful. It will be 
sufficient to give them without demonstration, as the principles 
involved are in no respect different. 

Theorem IV. If an ensemble of systems is so distributed in 
phase that the index of probability is any function of F v JP 2 , 
etc., (these letters denoting functions of the phase,) the average 
value of the index is less than for any other distribution in 
phase in which the distribution with respect to the functions 
F v F v etc. is unchanged. 

* See pages 37-41. 



MAXIMUM AND MINIMUM PROPERTIES. 133 

Theorem V. If an ensemble of systems is so distributed 
in phase that the index of probability is a linear function of 
F v F v etc., (these letters denoting functions of the phase,) the 
average value of the index is less than for any other distribu- 
tion in which the functions F v F^ etc. have the same average 
values. 

Theorem VI. The average value in an ensemble of systems 
of 77 + F (where 77 denotes as usual the index of probability and 
F any function of the phase) is less when the ensemble is so 
distributed that 77 + F is constant than for any other distribu- 
tion whatever. 

Theorem VII. If a system which in its different phases 
constitutes an ensemble consists of two parts, and we consider 
the average index of probability for the whole system, and 
also the average indices for each of the parts taken separately, 
the sum of the average indices for the parts will be either less 
than the average index for the whole system, or equal to it, 
but cannot be greater. The limiting case of equality occurs 
when the distribution in phase of each part is independent of 
that of the other, and only in this case. 

Let the coordinates and momenta of the whole system be 

2l ZifiPl > -Pni O f Wnicl1 ft ' <lm Pi , -Pm relate to ne 

part of the system, and q m+l ,...<?, p m+l , . . . p n to the other. 
If the index of probability for the whole system is denoted by 
77, the probability that the phase of an unspecified system lies 
within any given limits is expressed by the integral 

f. . .fe*d Pl ...dq, (431) 

taken for those limits. If we set 

J . . .fa dp m+l . . . dp n dq^ ...dq n =. e\ (432) 

where the integrations cover all phases of the second system, 
and 

J. . . JV d Pl . . . dp m d qi ... dq m = e^ (433) 



134 MAXIMUM AND MINIMUM PROPERTIES. 

where the integrations cover all phases of the first system, 
the integral (431) will reduce to the form 



f . . . 



dp!... dp m d^ . . . dq m) (434) 

when the limits can be expressed in terms of the coordinates 
and momenta of the first part of the system. The same integral 
will reduce to 



J . . . J (?* dp m+l ...dp n dq m+1 ...dq r 



(435) 



when the limits can be expressed in terms of the coordinates 
and momenta of the second part of the system. It is evident 
that rj 1 and r) 2 are the indices of probability for the two parts 
of the system taken separately. 

The main proposition to be proved may be written 



f 



(436) 



where the first integral is to be taken over all phases of the first 
part of the system, the second integral over all phases of the 
second part of the system, and the last integral over all phases 
of the whole system. Now we have 

..%. = !, (437) 

..dq m = l t (438) 

and * 

where the limits cover in each case all the phases to which the 
variables relate. The two last equations, which are in them- 
selves evident, may be derived by partial integration from the 
first. 



J*. . .Je^dp m+l ...dq n = l, (439) 



MAXIMUM AND MINIMUM PROPERTIES. 135 

It appears from the definitions of ^ and 7? 2 that (436) may 
also be written 

f . . . Cru e n dp l ...dq n + J". . . J ^ e^dp l ...dq n < 

f... fa <&..<<%., (440) 

or f . . . f 0? - >?i - in)***! . . . dq n > 0, 

where the integrations cover all phases. Adding the equation 

... <?<?* = 1, (441) 



f . 



a 

f. . . C 



which we get by multiplying (438) and (439), and subtract- 
ing (437), we have for the proposition to be proved 

all 

J. . .J[(, - % - Tfc) J + ** - e"] <$* . . . dq n > 0. (442) 

phases 

Let 

U = r 1 r }1 r ]2 . (443) 

The main proposition to be proved may be written 

all 

n > 0. (444) 

phases 

This is evidently true since the quantity in the parenthesis is 
incapable of a negative value.* Moreover the sign = can 
hold only when the quantity in the parenthesis vanishes for 
all phases, i. e., when u = for all phases. This makes 
i) = tj l + ?7 2 for all phases, which is the analytical condition 
which expresses that the distributions in phase of the two 
parts of the system are independent. 

Theorem VIII. If two or more ensembles of systems which 
are identical in nature, but may be distributed differently in 
phase, are united to form a single ensemble, so that the prob- 
ability-coefficient of the resulting ensemble is a linear function 

* See Theorem I, where this is proved of a similar expression. 



136 MAXIMUM AND MINIMUM PROPERTIES. 

of the probability-coefficients of the original ensembles, the 
average index of probability of the resulting ensemble cannot 
be greater than the same linear function of the average indices 
of the original ensembles. It can be equal to it only when 
the original ensembles are similarly distributed in phase. 

Let PijP%, etc. be the probability-coefficients of the original 
ensembles, and P that of the ensemble formed by combining 
them ; and let N^ , -ZV^ , etc. be the numbers of systems in the 
original ensembles. It is evident that we shall have 

P = e l P l + c 2 P 2 + etc. = 2 (cjPi), (445) 

where Ci = =-^V> c 2 = ^, etc. (446) 



The main proposition to be proved is that 



all all 

/ ./P log Pd Pl . . . <*? ^ s pi/ -/P, log P, ^ . . . dfcTI 

phases L phases - 

(447) 

all 

f . . . f [2 (c l P l log PO - P log P] d Pl ... dq n > 0. (448) 
J J 



or 

J 

phases 

If we set 

ft = P! log P! - P! log P - P! + P 

Q 1 will be positive, except when it vanishes for P 1 = P. To 
prove this, we may regard P l and P as any positive quantities. 
Then 



\dPi*J P PI ' 

Since Q 1 and dQ 1 /dP 1 vanish for P l P, and the second 
differential coefficient is always positive, Q 1 must be positive 
except when P 1 = P. Therefore, if # 2 , etc. have similar 
definitions, 

2 fa ft) ^ 0. (449) 



MAXIMUM AND MINIMUM PROPERTIES. 137 



But since . 2 (c x P x ) = P 

and 2 <?i = 1, 

2 fa ft) = 2 fa P! log P x ) - P log P. (450) 

This proves (448), and shows that the sign = will hold only 

when 

P 1 = P, P 2 = P, etc. 

for all phases, i. e., only when the distribution in phase of the 
original ensembles are all identical. 

Theorem IX. A uniform distribution of a given number of 
systems within given limits of phase gives a less average index 
of probability of phase than any other distribution. 

Let 77 be the constant index of the uniform distribution, and 
T? + A?; the index of some other distribution. Since the num- 
ber of systems within the given limits is the same in the two 
distributions we have 

J. . . Je"+ A * dp,... dq n = J. . . J> dp, . . . dq n , (451) 

where the integrations, like those which follow, are to be 
taken within the given limits. The proposition to be proved 
may be written 



Pl ... dq n > . . . ,; Jd Pl . . . dq n , (452) 

or, since 77 is constant, 

l ...dq n >. . .rjdp! . . . dq n . (453) 



In (451) also we may cancel the constant factor e^, and multiply 
by the constant factor (rj + 1). This gives 



f. . . 



The subtraction of this equation will not alter the inequality 
to be proved, which may therefore be written 

/. . ./(A, - 1) /" d Pl ... dj. >/. . ./- cfc . . . dj. 



138 MAXIMUM AND MINIMUM PROPERTIES. 

f . . . f (AM e A " - /" + 1) d Pl . . . dq n > 0. (454) 
J J 



or 

Since the parenthesis in this expression represents a positive 
value, except when it vanishes for AT; = 0, the integral will 
be positive unless AT? vanishes everywhere within the limits, 
which would make the difference of the two distributions 
vanish. The theorem is therefore proved. 




CHAPTER XII. 

ON THE MOTION OF SYSTEMS AND ENSEMBLES OF SYS- 
TEMS THROUGH LONG PERIODS OF TIME. 

AN important question which suggests itself in regard to any 
case of dynamical motion is whether the system considered 
will return in the course of time to its initial phase, or, if it 
will not return exactly to that phase, whether it will do so to 
any required degree of approximation in the course of a suffi- 
ciently long time. To be able to give even a partial answer 
to such questions, we must know something in regard to the 
dynamical nature of the system. In the following theorem, 
the only assumption in this respect is such as we have found 
necessary for the existence of the canonical distribution. 

If we imagine an ensemble of identical systems to be 
distributed with a uniform density throughout any finite 
extension-in-phase, the number of the systems which leave 
the extension-in-phase and will not return to it in the course 
of time is less than any assignable fraction of the whole 
number; provided, that the total extension-in-phase for the 
systems considered between two limiting values of the energy 
is finite, these limiting values being less and greater respec- 
tively than any of the energies of the first-mentioned exten- 
sion-in-phase. 

To prove this, we observe that at the moment which we 
call initial the systems occupy the given extension-in-phase. 
It is evident that some systems must leave the extension 
immediately, unless all remain in it forever. Those systems 
which leave the extension at the first instant, we shall call 
the front of the ensemble. It will be convenient to speak of 
this front as generating the extension-in-phase through which it 
passes in the course of time, as in geometry a surface is said to 



140 MOTION OF SYSTEMS AND ENSEMBLES 

generate the volume through which it passes. In equal times 
the front generates equal extensions in phase. This is an 
immediate consequence of the principle of conservation of 
extension-in-phase^ unless indeed we prefer to consider it as 
a slight variation in the expression of that principle. For in 
two equal short intervals of time let the extensions generated 
be A and B. (We make the intervals short simply to avoid 
the complications in the enunciation or interpretation of the 
principle which would arise when the same extension-in-phase 
is generated more than once in the interval considered.) Now 
if we imagine that at a given instant systems are distributed 
throughout the extension A, it is evident that the same 
systems will after a certain tune occupy the extension B, 
which is therefore equal to A in virtue of the principle cited. 
The front of the ensemble, therefore, goes on generating 
equal extensions in equal times. But these extensions are 
included in a finite extension, viz., that bounded by certain 
limiting values of the energy. Sooner or later, therefore, 
the front must generate phases which it has before generated. 
Such second generation of the same phases must commence 
with the initial phases. Therefore a portion at least of the 
front must return to the original extension-in-phase. The 
same is of course true of the portion of the ensemble which 
follows that portion of the front through the same phases at 
a later time. 

It remains to consider how large the portion of the ensemble 
is, which will return to the original extension-in-phase. There 
can be no portion of the given extension-in-phase, the systems 
of which leave the extension and do not return. For we can 
prove for any portion of the extension as for the whole, that 
at least a portion of the systems leaving it will return. 

We may divide the given extension-in-phase into parts as 
follows. There may be parts such that the systems within 
them will never pass out of them. These parts may indeed 
constitute the whole of the given extension. But if the given 
extension is very small, these parts will in general be non- 
existent. There may be parts such that systems within them 



THROUGH LONG PERIODS OF TIME. 141 

will all pass out of the given extension and all return within 
it. The whole of the given extension-in-phase is made up of 
parts of these two kinds. This does not exclude the possi- 
bility of phases on the boundaries of such parts, such that 
systems starting with those phases would leave the extension 
and never return. But in the supposed distribution of an 
ensemble of systems with a uniform density-in-phase, such 
systems would not constitute any assignable fraction of the 
whole number. 

These distinctions may be illustrated by a very simple 
example. If we consider the motion of a rigid body of 
which one point is fixed, and which is subject to no forces, 
we find three cases. (1) The motion is periodic. (2) The 
system will never return to its original phase, but will return 
infinitely near to it. (3) The system will never return either 
exactly or approximately to its original phase. But if we 
consider any extension-in-phase, however small, a system 
leaving that extension will return to it except in the case 
called by Poinsot * singular,' viz., when the motion is a 
rotation about an axis lying in one of two planes having 
a fixed position relative to the rigid body. But all such 
phases do not constitute any true extension-in-phase in the 
sense in which we have defined and used the term.* 

In the same way it may be proved that the systems in a 
canonical ensemble which at a given instant are contained 
within any finite extension-in-phase will in general return to 

* An ensemble of systems distributed in phase is a less simple and ele- 
mentary conception than a single system. But by the consideration of 
suitable ensembles instead of single systems, we may get rid of the incon- 
venience of having to consider exceptions formed by particular cases of the 
integral equations of motion, these cases simply disappearing when the 
ensemble is substituted for the single system as a subject of study. This 
is especially true when the ensemble is distributed, as in the case called 
canonical, throughout an extension-in-phase. In a less degree it is true of 
the microcanonical ensemble, which does not occupy any extension-in-phase, 
(in the sense in which we have used the term,) although it is convenient to 
regard it as a limiting case with respect to ensembles which do, as we thus 
gain for the subject some part of the analytical simplicity which belongs to 
the theory of ensembles which occupy true extensions-in-phase. 



142 MOTION OF SYSTEMS AND ENSEMBLES 

that extension-in-phase, if they leave it, the exceptions, i. g., 
the number which pass out of the extension-in-phase and do 
not return to it, being less than any assignable fraction of the 
whole number. In other words, the probability that a system 
taken at random from the part of a canonical ensemble which 
is contained within any given extension-in-phase, will pass out 
of that extension and not return to it, is zero. 

A similar theorem may be enunciated with respect to a 
roicrocanonical ensemble. Let us consider the fractional part 
of such an ensemble which lies within any given limits of 
phase. This fraction we shall denote by F. It is evidently 
constant in time since the ensemble is in statistical equi- 
librium. The systems within the limits will not in general 
remain the same, but some will pass out in each unit of time 
while an equal number come in. Some may pass out never 
to return within the limits. But the number which in any 
time however long pass out of the limits never to return will 
not bear any finite ratio to the number within the limits at 
a given instant. For, if it were otherwise, let / denote the 
fraction representing such ratio for the tune T. Then, in 
the time T, the number which pass out never to return will 
bear the ratio f F to the whole number in the ensemble, and 
in a time exceeding T/(fF) the number which pass out of 
the limits never to return would exceed the total number 
of systems in the ensemble. The proposition is therefore 
proved. 

This proof will apply to the cases before considered, and 
may be regarded as more simple than that which was given. 
It may also be applied to any true case of statistical equilib- 
rium. By a true case of statistical equilibrium is meant such 
as may be described by giving the general value of the prob- 
ability that an unspecified system of the ensemble is con- 
tained within any given limits of phase.* 

* An ensemble in which the systems are material points constrained to 
move in vertical circles, with just enough energy to carry them to the 
highest points, cannot afford a true example of statistical equilibrium. For 
any other value of the energy than the critical value mentioned, we might 



THROUGH LONG PERIODS OF TIME. 143 

Let us next consider whether an ensemble of isolated 
systems has any tendency in the course of time toward a 
state of statistical equilibrium. 

There are certain functions of phase which are constant in 
time. The distribution of the ensemble with respect to the 
values of these functions is necessarily invariable, that is, 
the number of systems within any limits which can be 
specified in terms of these functions cannot vary in the course 
of time. The distribution in phase which without violating 
this condition gives the least value of the average index of 
probability of phase (77) is unique, and is that in which the 

in various ways describe an ensemble in statistical equilibrium, while the 
same language applied to the critical value of the energy would fail to do 
so. Thus, if we should say that the ensemble is so distributed that the 
probability that a system is in any given part of the circle is proportioned 
to the time which a single system spends in that part, motion in either direc- 
tion being equally probable, we should perfectly define a distribution in sta- 
tistical equilibrium for any value of the energy except the critical value 
mentioned above, but for this value of the energy all the probabilities in 
question would vanish unless the highest point is included in the part of the 
circle considered, in which case the probability is unity, or forms one of its 
limits, in which case the probability is indeterminate. Compare the foot-note 
on page 118. 

A still more simple example is afforded by the uniform motion of a 
material point in a straight line. Here the impossibility of statistical equi- 
librium is not limited to any particular energy, and the canonical distribu- 
tion as well as the microcanonical is impossible. 

These examples are mentioned here in order to show the necessity of 
caution in the application of the above principle, with respect to the question 
whether we have to do with a true case of statistical equilibrium. 

Another point in respect to which caution must be exercised is that the 
part of an ensemble of which the theorem of the return of systems is asserted 
should be entirely denned by limits within which it is contained, and not by 
any such condition as that a certain function of phase shall have a given 
value. This is necessary in order that the part of the ensemble which is 
considered should be any assignable fraction of the whole. Thus, if we have 
a canonical ensemble consisting of material points in vertical circles, the 
theorem of the return of systems may be applied to a part of the ensemble 
defined as cqntained in a given part of the circle. But it may not be applied 
in all cases to a part of the ensemble defined as contained in a given part 
of the circle and having a given energy. It would, in fact, express the exact 
opposite of the truth when the given energy is the critical value mentioned 
above. 



144 MOTION OF SYSTEMS AND ENSEMBLES 

index of probability (77) is a function of the functions men- 
tioned.* It is therefore a permanent distribution, f and the 
only permanent distribution consistent with the invariability 
of the distribution with respect to the functions of phase 
which are constant in time. 

It would seem, therefore, that we might find a sort of meas- 
ure of the deviation of an ensemble from statistical equilibrium 
in the excess of the average index above the minimum which is 
consistent with the condition of the invariability of the distri- 
bution with respect to the constant functions of phase. But 
we have seen that the index of probability is constant in time 
for each system of the ensemble. The average index is there- 
fore constant, and we find by this method no approach toward 
statistical equilibrium in the course of time. 

Yet we must here exercise great caution. One function 
may approach indefinitely near to another function, while 
some quantity determined by the first does not approach the 
corresponding quantity determined by the second. A line 
joining two points may approach indefinitely near to the 
straight line joining them, while its length remains constant. 
We may find a closer analogy with the case under considera- 
tion in the effect of stirring an incompressible liquid.^ In 
space of 2 n dimensions the case might be made analyti- 
cally identical with that of an ensemble of systems of n 
degrees of freedom, but the analogy is perfect in ordinary- 
space. Let us suppose the liquid to contain a certain amount 
of coloring matter which does not affect its hydrodynamic 
properties. Now the state in which the density of the coloring 
matter is uniform, i. e., the statt, of perfect mixture, which is 
a sort of state of equilibrium in this respect that the distribu- 
tion of the coloring matter in space is not affected by the 
internal motions of the liquid, is characterized by a minimum 

* See Chapter XI, Theorem IV. 

t See Chapter IV, sub init. 

J By liquid is here meant the continuous body of theoretical hydrody- 
namics, and not anything of the molecular structure and molecular motions 
of real liquids. 



THROUGH LONG PERIODS OF TIME. 145 

value of the average square of the density of the coloring 
matter. Let us suppose, however, that the coloring matter is 
distributed with a variable density. If we give the liquid any 
motion whatever, subject only to the hydrodynamic law of 
incompressibility, it may be a steady flux, or it may vary 
with the time, the density of the coloring matter at any 
same point of the liquid will be unchanged, and the average 
square of this density will therefore be unchanged. Yet no 
fact is more familiar to us than that stirring tends to bring a 
liquid to a state of uniform mixture, or uniform densities of 
its components, which is characterized by minimum values 
of the average squares of these densities. It is quite true that 
in the physical experiment the result is hastened by the 
process of diffusion, but the result is evidently not dependent 
on that process. 

The contradiction is to be traced to the notion of the density 
of the coloring matter, and the process by which this quantity 
is evaluated. This quantity is the limiting ratio of the 
quantity of the coloring matter in an element of space to the 
volume of that element. Now if we should take for our ele- 
ments of volume, after any amount of stirring, the spaces 
occupied by the same portions of the liquid which originally 
occupied any given system of elements of volume, the densi- 
ties of the coloring matter, thus estimated, would be identical 
with the original densities as determined by the given system 
of elements of volume. Moreover, if at the end of any finite 
amount of stirring we should take our elements of volume in 
any ordinary form but sufficiently small, the. average square 
of the density of the coloring matter, as determined by such 
element of volume, would approximate to any required degree 
to its value before the stirring. But if we take any element 
of space of fixed position and dimensions, we may continue 
the stirring so long that the densities of the colored liquid 
estimated for these fixed elements will approach a uniform 
limit, viz.', that of perfect mixture. 

The case is evidently one of those in which the limit of a 
limit has different values, according to the order in which we 

10 



146 MOTION OF SYSTEMS AND ENSEMBLES 

apply the processes of taking a limit. If treating the elements 
of volume as constant, we continue the stirring indefinitely, 
we get a uniform density, a result not affected by making the 
elements as small as we choose ; but if treating the amount of 
stirring as finite, we diminish indefinitely the elements of 
volume, we get exactly the same distribution in density as 
before the stirring, a result which is not affected by con- 
tinuing the stirring as long as we choose. The question is 
largely one of language and definition. One may perhaps be 
allowed to say that a finite amount of stirring will not affect 
the mean square of the density of the coloring matter, but an 
infinite amount of stirring may be regarded as producing a 
condition in which the mean square of the density has its 
minimum value, and the density is uniform. We may cer- 
tainly say that a sensibly uniform density of the colored com- 
ponent may be produced by stirring. Whether the time 
required for this result would be long or short depends upon 
the nature of the motion given to the liquid, and the fineness 
of our method of evaluating the density. 

All this may appear more distinctly if we consider a special 
case of liquid motion. Let us imagine a cylindrical mass of 
liquid of which one sector of 90 is black and the rest white. 
Let it have a motion of rotation about the axis of the cylinder 
in which the angular velocity is a function of the distance 
from the axis. In the course of time the black and the white 
parts would become drawn out into thin ribbons, which would 
be wound spirally about the axis. The thickness of these rib- 
bons would diminish without limit, and the liquid would there- 
fore tend toward a state of perfect mixture of the black and 
white portions. That is, in any given element of space, the 
proportion of the black and white would approach 1 : 3 as a limit. 
Yet after any finite time, the total volume would be divided 
into two parts, one of which would consist of the white liquid 
exclusively, and the other of the black exclusively. If the 
coloring matter, instead of being distributed initially with a 
uniform density throughout a section of the cylinder, were 
distributed with a density represented by any arbitrary func- 



THROUGH LONG PERIODS OF TIME. 147 

tion of the cylindrical coordinates r, 6 and 2, the effect of the 
same motion continued indefinitely would be an approach to 
a condition in which the density is a function of r and z alone. 
In this limiting condition, the average square of the density 
would be less than in the original condition, when the density 
was supposed to vary with 0, although after any finite time 
the average square of the density would be the same as at 
first. 

If we limit our attention to the motion in a single plane 
perpendicular to the axis of the cylinder, we have something 
which is almost identical with a diagrammatic representation 
of the changes in distribution in phase of an ensemble of 
systems of one degree of freedom, in which the motion is 
periodic, the period varying with the energy, as in the case of 
a pendulum swinging in a circular arc. If the coordinates 
and momenta of the systems are represented by rectangu- 
lar coordinates in the diagram, the points in the diagram 
representing the changing phases of moving systems, will 
move about the origin in closed curves of constant energy. 
The motion will be such that areas bounded by points repre- 
senting moving systems will be preserved. The only differ- 
ence between the motion of the liquid and the motion in the 
diagram is that in one case the paths are circular, and in the 
other they differ more or less from that form. 

When the energy is proportional to p 2 + q 2 the curves of 
constant energy are circles, and the period is independent of 
the energy. There is then no tendency toward a state of sta- 
tistical equilibrium. The diagram turns about the origin with- 
out change of form. This corresponds to the case of liquid 
motion, when the liquid revolves with a uniform angular 
velocity like a rigid solid. 

The analogy between the motion of an ensemble of systems 
in an extension-in-phase and a steady current in an incompres- 
sible liquid, and the diagrammatic representation of the case 
of one degree of freedom, which appeals to our geometrical in- 
tuitions, may be sufficient to show how the conservation of 
density in phase, which involves the conservation of the 



148 MOTION OF SYSTEMS AND ENSEMBLES 

average value of the index of probability of phase, is consist- 
ent with an approach to a limiting condition in which that 
average value is less. We might perhaps fairly infer from 
such considerations as have been adduced that an approach 
to a limiting condition of statistical equilibrium is the general 
rule, when the initial condition is not of that character. But 
the subject is of such importance that it seems desirable to 
give it farther consideration. 

Let us suppose that the total extension-in-phase for the 
kind of system considered to be divided into equal elements 
(D V) which are very small but not infinitely small. Let us 
imagine an ensemble of systems distributed in this extension 
in a manner represented by the index of probability 77, which 
is an arbitrary function of the phase subject only to the re- 
striction expressed by equation (46) of Chapter I. We shall 
suppose the elements D V to be so small that rj may in gen- 
eral be regarded as sensibly constant within any one of them 
at the initial moment. Let the path of a system be defined as 
the series of phases through which it passes. 

At the initial moment (') a certain system is in an element 
of extension DV f . Subsequently, at the time ", the same 
system is in the element DV". Other systems which were 
at first in DV will at the time t" be in DV", but not all, 
probably. The systems which were at first in DV 1 will at 
the time t' f occupy an extension-in-phase exactly as large as at 
first. But it will probably be distributed among a very great 
number of the elements (DV) into which we have divided 
the total extension-in-phase. If it is not so, we can generally 
take a later time at which it will be so. There will be excep- 
tions to this for particular laws of motion, but we will con- 
fine ourselves to what may fairly be called the general case. 
Only a very small part of the systems initially in D V will 
be found in DV" at the time t", and those which are found in 
DV" at that time were at the initial moment distributed 
among a very large number of elements D V. 

What is important for our purpose is the value of 77, the 
index of probability of phase in the element DV" at the time 



THROUGH LONG PERIODS OF TIME. 149 

t". In the part of DV" occupied by systems which at the 
time if were in DV the value of 77 will be the same as its 
value in D V at the time t r , which we shall call 77'. In the 
parts of DV" occupied by systems which at if were in ele- 
ments very near to D V we may suppose the value of 77 to 
vary little from T?'. We cannot assume this in regard to parts 
of DV" occupied by systems which at tf were in elements 
remote from DV. We want, therefore, some idea of the 
nature of the extension-in-phase occupied at tf by the sys- 
tems which at t" will occupy D V". Analytically, the prob- 
lem is identical with finding the extension occupied at t" 
by the systems which at t 1 occupied DV. Now the systems 
in D V" which lie on the same path as the system first con- 
sidered, evidently arrived at DV" at nearly the same time, 
and must have left D V 1 at nearly the same time, and there- 
fore at if were in or near DV. We may therefore take T/ as 
the value for these systems. The same essentially is true of 
systems in DV" which he on paths very close to the path 
already considered. But with respect to paths passing through 
D V and D V", but not so close to the first path, we cannot 
assume that the time required to pass from DV to D V" is 
nearly the same as for the first path. The difference of the 
times required may be small in comparison with "-', but as 
this interval can be as large as we choose, the difference of the 
times required in the different paths has no limit to its pos- 
sible value. Now if the case were one of statistical equilib- 
rium, the value of 77 would be constant in any path, and if all 
the paths which pass through DV 1 also pass through or near 
D V, the value of 77 throughout D V" will vary little from 
?;'. But when the case is not one of statistical equilibrium, 
we cannot draw any such conclusion. The only conclusion 
which we can draw with respect to the phase at t 1 of the sys- 
tems which at t" are in DV" is that they are nearly on the 
same patji. 

Now if we should make a new estimate of indices of prob- 
ability of phase at the time t", using for this purpose the 
elements D V, that is, if we should divide the number of 



150 MOTION OF SYSTEMS AND ENSEMBLES 

systems in JDF", for example, by the total number of systems, 
and also by the extension-in-phase of the element, and take 
the logarithm of the quotient, we would get a number which 
would be less than the average value of rj for the systems 
within D V" based on the distribution in phase at the time t 1 .* 
Hence the average value of 77 for the whole ensemble of 
systems based on the distribution at t" will be less than the 
average value based on the distribution at t'. 

We must not forget that there are exceptions to this gen- 
eral rule. These exceptions are in cases in which the laws 
of motion are such that systems having small differences 
of phase will continue always to have small differences of 
phase. 

It is to be observed that if the average index of probability in 
an ensemble may be said in some sense to have a less value at 
one tune than at another, it is not necessarily priority in tune 
which determines the greater average index. If a distribution, 
which is not one of statistical equilibrium, should be given 
for a time ', and the distribution at an earlier time t" should 
be defined as that given by the corresponding phases, if we 
increase the interval leaving t' fixed and taking t tf at an earlier 
and earlier date, the distribution at t" will in general approach 
a limiting distribution which is in statistical equilibrium. The 
determining difference in such cases is that between a definite 
distribution at a definite time and the limit of a varying dis- 
tribution when the moment considered is carried either forward 
or backward indefinitely, f 

But while the distinction of prior and subsequent events 
may be immaterial with respect to mathematical fictions, it is 
quite otherwise with respect to the events of the real world. 
It should not be forgotten, when our ensembles are chosen to 
illustrate the probabilities of events in the real world, that 

* See Chapter XI, Theorem IX. 

t One may compare the kinematical truism that when two points are 
moving with uniform velocities, (with the single exception of the case where 
the relative motion is zero,) their mutual distance at any definite time is less 
than f or t = <x> , or t = oo . 



THROUGH LONG PERIODS OF TIME. 151 

while the probabilities of subsequent events may often be 
determined from the probabilities of prior events, it is rarely 
the case that probabilities of prior events can be determined \j 
from those of subsequent events, for we are rarely justified in 
excluding the consideration of the antecedent probability of 
the prior events. 

It is worthy of notice that to take a system at random from 
an ensemble at a date chosen at random from several given 
dates, t', t", etc., is practically the same thing as to take a sys- 
tem at random from the ensemble composed of all the systems 
of the given ensemble in their phases at the time ', together 
with the same systems in their phases at the time t /; , etc. By 
Theorem VIII of Chapter XI this will give an ensemble in 
which the average index of probability will be less than in 
the given ensemble, except in the case when the distribution 
in the given ensemble is the same at the times t r , t' f , etc. 
Consequently, any indefiniteness in the time in which we take 
a system at random from an ensemble has the practical effect 
of diminishing the average index of the ensemble from which 
the system may be supposed to be drawn, except when the 
given ensemble is in statistical equilibrium. 



CHAPTER XIII. 

EFFECT OF VARIOUS PROCESSES ON AN ENSEMBLE OF 

SYSTEMS. 

IN the last chapter and in Chapter I we have considered the 
changes which take place in the course of time in an ensemble 
of isolated systems. Let us now proceed to consider the 
changes which will take place in an ensemble of systems under 
external influences. These external influences will be of two 
kinds, the variation of the coordinates which we have called 
external, and the action of other ensembles of systems. The 
essential difference of the two kinds of influence consists in 
this, that the bodies to which the external coordinates relate 
are not distributed in phase, while in the case of interaction 
of the systems of two ensembles, we have to regard the fact 
that both are distributed in phase. To find the effect pro- 
duced on the ensemble with which we are principally con- 
cerned, we have therefore to consider single values of what 
we have called external coordinates, but an infinity of values 
of the internal coordinates of any other ensemble with which 
there is interaction. 

Or, to regard the subject from another point of view, 
the action between an unspecified system of an ensemble and 
the bodies represented by the external coordinates, is the 
action between a system imperfectly determined with respect 
to phase and one which is perfectly determined ; while the 
interaction between two unspecified systems belonging to 
different ensembles is the action between two systems both of 
which are imperfectly determined with respect to phase.* 

We shall suppose the ensembles which we consider to be 
distributed in phase in the manner described in Chapter I, and 

* In the development of the subject, we shall find that this distinction 
corresponds to the distinction in thermodynamics between mechanical and 
thermal action. 



EFFECT OF VARIOUS PROCESSES. 153 

represented by the notations of that chapter, especially by the 
index of probability of phase (??). There are therefore 2 n 
independent variations in the phases which constitute the 
ensembles considered. This excludes ensembles like the 
microcanonical, in which, as energy is constant, there are 
only 2 n 1 independent variations of phase. This seems 
necessary for the purposes of a general discussion. For 
although we may imagine a microcanonical ensemble to have 
a permanent existence when isolated from external influences, 
the effect of such influences would generally be to destroy the 
uniformity of energy in the ensemble. Moreover, since the 
microcanonical ensemble may be regarded as a limiting case of 
such ensembles as are described in Chapter I, (and that in 
more than one way, as shown in Chapter X,) the exclusion is 
rather formal than real, since any properties which belong to 
the microcanonical ensemble could easily be derived from those 
of the ensembles of Chapter I, which in a certain sense may 
be regarded as representing the general case. 

Let us first consider the effect of variation of the external 
coordinates. We have already had occasion to regard these 
quantities as variable in the differentiation of certain equations 
relating to ensembles distributed according to certain laws 
called canonical or microcanonical. That variation of the 
external coordinates was, however, only carrying the atten- 
tion of the mind from an ensemble with certain values of the 
external coordinates, and distributed in phase according to 
some general law depending upon those values, to another 
ensemble with different values of the external coordinates, and 
with the distribution changed to conform to these new values. 

What we have now to consider is the effect which would 
actually result in the course of time in an ensemble of systems 
in which the external coordinates should be varied in any 
arbitrary manner. Let us suppose, in the first place, that 
these coordinates are varied abruptly at a given instant, being 
constant both before and after that instant. By the definition 
of the external coordinates it appears that this variation does 
not affect the phase of any system of the ensemble at the time 



154 EFFECT OF VARIOUS PROCESSES 

when it takes place. Therefore it does not affect the index of 
probability of phase (77) of any system, or the average value 
of the index (?/)' at that time. And if these quantities are 
constant in time before the variation of the external coordi- 
nates, and after that variation, their constancy hi time is not 
interrupted by that variation. In fact, in the demonstration 
of the conservation of probability of phase in Chapter I, the 
variation of the external coordinates was not excluded. 

But a variation of the external coordinates will in general 
disturb a previously existing state of statistical equilibrium. 
For, although it does not affect (at the first instant) the 
distribution-in-phase, it does affect the condition necessary for 
equilibrium. This condition, as we have seen in Chapter IV, 
is that the index of probability of phase shall be a function of 
phase which is constant in time for moving systems. Now 
a change in the external coordinates, by changing the forces 
which act on the systems, will change the nature of the 
functions of phase which are constant in time. Therefore, 
the distribution in phase which was one of statistical equi- 
librium for the old values of the external coordinates, will not 
be such for the new values. 

Now we have seen, in the last chapter, that when the dis- 
tribution-in-phase is not one of statistical equilibrium, an 
ensemble of systems may, and in general will, after a longer or 
shorter time, come to a state which may be regarded, if very 
small differences of phase are neglected, as one of statistical 
equilibrium, and in which consequently the average value of 
the index (?;) is less than at first. It is evident, therefore, 
that a variation of the external coordinates, by disturbing a 
state of statistical equilibrium, may indirectly cause a diminu- 
tion, (in a certain sense at least,) of the value of rj. 

But if the change in the external coordinates is very small, 
the change in the distribution necessary for equilibrium will 
in general be correspondingly small. Hence, the original dis- 
tribution in phase, since it differs little from one which would 
be in statistical equilibrium with the new values of the ex- 
ternal coordinates, may be supposed to have a value of v 



ON AN ENSEMBLE OF SYSTEMS. 155 

which differs by a small quantity of the second order from 
the minimum value which characterizes the state of statistical 
equilibrium. And the diminution in the average index result- 
ing in the course of time from the very small change in the 
external coordinates, cannot exceed this small quantity of 
the second order. 

Hence also, if the change in the external coordinates of an 
ensemble initially in statistical equilibrium consists in suc- 
cessive very small changes separated by very long intervals of 
time in which the disturbance of statistical equilibrium be- 
comes sensibly effaced, the final diminution in the average 
index of probability will in general be negligible, although the 
total change in the external coordinates is large. The result 
will be the same if the change in the external coordinates 
takes place continuously but sufficiently slowly. 

Even in cases in which there is no tendency toward the 
restoration of statistical equilibrium in the lapse of time, a varia- 
tion of external coordinates which would cause, if it took 
place in a short time, a great disturbance of a previous state 
of equilibrium, may, if sufficiently distributed in time, produce 
no sensible disturbance of the statistical equilibrium. 

Thus, in the case of three degrees of freedom, let the systems 
be heavy points suspended by elastic massless cords, and let the 
ensemble be distributed in phase with a density proportioned 
to some function of the energy, and therefore in statistical equi- 
librium. For a change in the external coordinates, we may 
take a horizontal motion of the point of suspension. If this 
is moved a given distance, the resulting disturbance of the 
statistical equilibrium may evidently be diminished indefi- 
nitely by diminishing the velocity of the point of suspension. 
This will be true if the law of elasticity of the string is such 
that the period of vibration is independent of the energy, in 
which case there is no tendency in the course of time toward 
a state of statistical equilibrium, as well as in the more general 
case, in which there is a tendency toward statistical equilibrium. 

That something of this kind will be true in general, the 
following considerations will tend to show. 



156 EFFECT OF VARIOUS PROCESSES 

We define a path as the series of phases through which a 
system passes in the course of time when the external co- 
ordinates have fixed values. When the external coordinates 
are varied, paths are changed. The path of a phase is the 
path to which that phase belongs. With reference to any 
ensemble of systems we shall denote by 27| p the average value 
of the density-in-phase in a path. This implies that we have 
a measure for comparing different portions of the path. We 
shall suppose the time required to traverse any portion of a 
path to be its measure for the purpose of determining this 
average. 

With this understanding, let us suppose that a certain en- 
semble is in statistical equilibrium. In every element of 
extension-in-phase, therefore, the density-in-phase D is equal 
to its path-average 27] p . Let a sudden small change be made 
in the external coordinates. The statistical equilibrium will be 
disturbed and we shall no longer have D ~D\ P everywhere. 
This is not because D is changed, but because ~D\ p is changed, 
the paths being changed. It is evident that if D > I)] p in 
a part of a path, we shall have D < ~D\ p in other parts of the 
same path. 

Now, if we should imagine a further change in the external 
coordinates of the same kind, we should expect it to produce 
an effect of the same kind. But the manner in which the 
second effect will be superposed on the first will be different, 
according as it occurs immediately after the first change or 
after an interval of time. If it occurs immediately after the 
first change, then in any element of phase in which the first 
change produced a positive value of D - 2J| P the second change 
will add a positive value to the first positive value, and where 
D - 1)\ p was negative, the second change will add a negative 
value to the first negative value. 

But if we wait a sufficient time before making the second 
change in the external coordinates, so that systems have 
passed from elements of phase in which D - ~D\ P was origi- 
nally positive to elements in which it was originally negative, 
and vice versa, (the systems carrying with them the values 



ON AN ENSEMBLE OF SYSTEMS. 157 

of D - 1J\p ,) the positive values of D - U\ p caused by the 
second change will be in part superposed on negative values 
due to the first change, and vice versa. 

The disturbance of statistical equilibrium, therefore, pro- 
duced by a given change in the values of the external co- 
ordinates may be very much diminished by dividing the 
change into two parts separated by a sufficient interval of 
tune, and a sufficient interval of time for this purpose is one 
in which the phases of the individual systems are entirely 
unlike the first, so that any individual system is differently 
affected by the change, although the whole ensemble is af- 
fected in nearly the same way. Since there is no limit to the 
diminution of the disturbance of equilibrium by division of 
the change in the external coordinates, we may suppose as 
a general rule that by diminishing the velocity of the changes 
in the external coordinates, a given change may be made to 
produce a very small disturbance of statistical equilibrium. 

If we write r[ for the value of the average index of probability 
before the variation of the external coordinates, and iff' for the 
value after this variation, we shall have in any case 



as the simple result of the variation of the external coordi- 
nates. This may be compared with the thermodynamic the- 
orem that the entropy of a body cannot be diminished by 
mechanical (as distinguished from thermal) action.* 

If we have (approximate) statistical equilibrium between 
the times if and if' (corresponding to rf and ??"), we shall have 
approximately 

which may be compared with the thermodynamic theorem that 
the entropy of a body is not (sensibly) affected by mechanical 
action, during which the body is at each instant (sensibly) in 
a state of thermodynamic equilibrium. 

Approximate statistical equilibrium may usually be attained 

* The correspondences to which the reader's attention is called are between 
t\ and entropy, and between and temperature. 



158 EFFECT OF VARIOUS PROCESSES 

by a sufficiently slow variation of the external coordinates, 
just as approximate thermodynamic equilibrium may usually 
be attained by sufficient slowness in the mechanical operations 
to which the body is subject. 

We now pass to the consideration of the effect on an en- 
semble of systems which is produced by the action of other 
ensembles with which it is brought into dynamical connec- 
tion. In a previous chapter * we have imagined a dynamical 
connection arbitrarily created between the systems of two 
ensembles. We shall now regard the action between the 
systems of the two ensembles as a result of the variation 
of the external coordinates, which causes such variations 
of the internal coordinates as to bring the systems of the 
two ensembles within the range of each other's action. 

Initially, we suppose that we have two separate ensembles 
of systems, E and E z . The numbers of degrees of freedom 
of the systems in the two ensembles will be denoted by n^ and 
n 2 respectively, and the probability-coefficients by e^ and e"*, 
Now we may regard any system of the first ensemble com- 
bined with any system of the second as forming a single 
system of ^ + n z degrees of freedom. Let us consider the 
ensemble ( J? 12 ) obtained by thus combining each system of the 
first ensemble with each of the second. 

At the initial moment, which may be specified by a single 
accent, the probability-coefficient of any phase of the combined 
systems is evidently the product of the probability-coefficients 
of the phases of which it is made up. This may be expressed 
by the equation, 

e w = 6 V e v , (455) 

or n* = in' + ^ ( 456 ) 

which gives r^z = ij/ + iya'- (457) 

The forces tending to vary the internal coordinates of the 
combined systems, together with those exerted by either 
system upon the bodies represented by the coordinates called 

* See Chapter IV, page 37. 



ON AN ENSEMBLE OF SYSTEMS. 159 

external, may be derived from a single force-function, which, 
taken negatively, we shall call the potential energy of the 
combined systems and denote by e 12 . But we suppose that 
initially none of the systems of the two ensembles EI and 
E% come within range of each other's action, so that the 
potential energy of the combined system falls into two parts 
relating separately to the systems which are combined. The 
same is obviously true of the kinetic energy of the combined 
compound system, and therefore of its total energy. This 
may be expressed by the equation 

'=/ + ,', (458) 

which gives e 12 ' = i/ + e 2 '. (459) 

Let us now suppose that in the course of tune, owing to the 
motion of the bodies represented by the coordinates called 
external, the forces acting on the systems and consequently 
their positions are so altered, that the systems of the ensembles 
E l and E% are brought within range of each other's action, 
and after such mutual influence has lasted for a time, by a 
further change in the external coordinates, perhaps a return 
to their original values, the systems of the two original en- 
sembles are brought again out of range of each other's action. 
Finally, then, at a time specified by double accents, we shall 
have as at first 

" = e/' + i a ". (460) 

But for the indices of probability we must write * 

W + W ^ W' (461) 

The considerations adduced in the last chapter show that it 
is safe to write 

W 5 W- (462) 

We have therefore 

5i" + i" < ^ + i', (463) 

which may be compared with the thermodynamic theorem that 
* See Chapter XI, Theorem VII. 



160 EFFECT OF VARIOUS PROCESSES 

the thermal contact of two bodies may increase but cannot 
diminish the sum of their entropies. 

Let us especially consider the case in which the two original 
ensembles were both canonically distributed in phase with the 
respective moduli j and 2 . We have then, by Theorem III 
of Chapter XI, 

nJ + ^ < r?i" + |- (464) 

^' + !'<^" + ^ (465) 

Whence with (463) we have 






_ 

If we write W for the average work done by the combined 
systems on the external bodies, we have by the principle of 
the conservation of energy 

W = ' - M " = / - X " + e 2 ' - e 2 ". (468) 

Now if TFis negligible, we have 

e/' _ e/ = - (e"" - ?) (469) 

and (467) shows that the ensemble which has the greater 
modulus must lose energy. This result may be compared to 
the thermodynamic principle, that when two bodies of differ- 
ent temperatures are brought together, that which has the 
higher temperature will lose energy. 

Let us next suppose that the ensemble E% is originally 
canonically distributed with the modulus @ 2 , but leave the 
distribution of the other arbitrary. We have, to determine 
the result of a similar process, 



ON AN ENSEMBLE OF SYSTEMS. 161 

Hence ^" + |'=^' + C (470) 

which may be written 

%'-V^^^ (471) 

This may be compared with the thennodynamic principle that 
when a body (which need not be in thermal equilibrium) is 
brought into thermal contact with another of a given tempera- 
ture, the increase of entropy of the first cannot be less (alge- 
braically) than the loss_of heat by the second divided by its 
temperature. Where W is negligible, we may write 

V' + |^' + | . (472) 

Now, by Theorem III of Chapter XI, the quantity 

! . * + | (473) 

has a minimum value when the ensemble to which ^ and e x 
relate is distributed canonically with the modulus 2 . If the 
ensemble had originally this distribution, the sign < in (472) 
would be impossible. In fact, in this case, it would be easy to 
show that the preceding formulae on which (472) is founded 
would all have the sign = . But when the two ensembles are 
not both originally distributed canonically with the same 
modulus, the formulae indicate that the quantity (473) may 
be diminished by bringing the ensemble to which e a and y l 
relate into connection with another which is canonically dis- 
tributed with modulus 2 , and therefore, that by repeated 
operations of this kind the ensemble of which the original dis- 
tribution was entirely arbitrary might be brought approxi- 
mately into a state of canonical distribution with the modulus 
<B) 2 . We may compare this with the thermodynamic principle 
that a body of which the original thermal state may be entirely 
arbitrary, -may be brought approximately into a state of ther- 
mal equilibrium with any given temperature by repeated con- 
nections with other bodies of that temperature. 

11 



162 EFFECT OF VARIOUS PROCESSES 

Let us now suppose that we have a certain number of 
ensembles, E Q , E l , E% , etc., distributed canonically with the 
respective moduli , O x , @ 2 , etc. By variation of the exter- 
nal coordinates of the ensemble E Q , let it be brought into 
connection with E^ , and then let the connection be broken. 
Let it then be brought into connection with U 2 , and then let 
that connection be broken. Let this process be continued 
with respect to the remaining ensembles. We do not make 
the assumption, as in some cases before, that the work connected 
with the variation of the external coordinates is a negligible 
quantity. On the contrary, we wish especially to consider 
the case in which it is large. In the final state of the ensem- 
ble EQ , let us suppose that the external coordinates have been 
brought back to their original values, and that the average 
energy (e ) is the same as at first. 

In our usual notations, using one and two accents to dis- 
tinguish original and final values, we get by repeated applica- 
tions of the principle expressed in (463) 

V + n' + V + etc. > ^ " + i" + ^ 2 " + etc. (474) 
But by Theorem III of Chapter XI, 



ft" + Z ft 1 + ' (476) 

*" + g > .7 + { (477) 

etc. 



or, since </ = </', 



(479) 

If we write IF for the average work done on the bodies repre- 
sented by the external coordinates, we have 



ON AN ENSEMBLE OF SYSTEMS. 163 

e/ _ e," + ej - e 2 " + etc. = W. (480) 

If E Q , E v and JE 2 are the only ensembles, we have 

^< ,-_, ( -,_-, 0i (481) 

It will be observed that the relations expressed in the last 
three formulae between IF, e x e/', e 2 ' e 2 ", etc., and @ 1? 
2 , etc. are precisely those which hold in a Carnot's cycle for 
the work obtained, the energy lost by the several bodies which 
serve as heaters or coolers, and their initial temperatures. 

It will not escape the reader's notice, that while from one 
point of view the operations which are here described are quite 
beyond our powers of actual performance, on account of the 
impossibility of handling the immense number of systems 
which are involved, yet from another point of view the opera- 
tions described are the most simple and accurate means of 
representing what actually takes place in our simplest experi- 
ments in thermodynamics. The states of the bodies which 
we handle are certainly not known to us exactly. What we 
know about a body can generally be described most accurately 
and most simply by saying that it is one taken at random 
from a great number (ensemble) of bodies which are com- 
pletely described. If we bring it into connection with another 
body concerning which we have a similar limited knowledge, 
the state of the two bodies is properly described as that of a 
pair of bodies taken from a great number (ensemble) of pairs 
which are formed by combining each body of the first en- 
semble with each of the second. 

Again, when we bring one body into thermal contact with 
another, for example, in a Carnot's cycle, when we bring a 
mass of fluid into thermal contact with some other body from 
which we wish it to receive heat, we may do it by moving the 
vessel containing the fluid. This motion is mathematically 
expressed by the variation of the coordinates which determine 
the position of the vessel. We allow ourselves for the pur- 
poses of a theoretical discussion to suppose that the walls of 
this vessel are incapable of absorbing heat from the fluid. 



164 EFFECT OF VARIOUS PROCESSES. 

Yet while we exclude the kind of action which we call ther- 
mal between the fluid and the containing vessel, we allow the 
kind which we call work in the narrower sense, which takes 
place when the volume of the fluid is changed by the motion 
of a piston. This agrees with what we have supposed in 
regard to the external coordinates, which we may vary in 
any arbitrary manner, and are in this entirely unlike the co- 
ordinates of the second ensemble with which we bring the 
first into connection. 

When heat passes in any thermodynamic experiment between 
the fluid principally considered and some other body, it is 
actually absorbed and given out by the walls of the vessel, 
which will retain a varying quantity. This is, however, a 
disturbing circumstance, which we suppose in some way made 
negligible, and actually neglect in a theoretical discussion. 
In our case, we suppose the walls incapable of absorbing en- 
ergy, except through the motion of the external coordinates, 
but that they allow the systems which they contain to act 
directly on one another. Properties of this kind are mathe- 
matically expressed by supposing that in the vicinity of a 
certain surface, the position of which is determined by certain 
(external) coordinates, particles belonging to the system in 
question experience a repulsion from the surface increasing so 
rapidly with nearness to the surface that an infinite expendi- 
ture of energy would be required to carry them through it. 
It is evident that two systems might be separated by a surface 
or surfaces exerting the proper forces, and yet approach each 
other closely enough to exert mechanical action on each other. 



CHAPTER XIV. 

DISCUSSION OF THERMODYNAMIC ANALOGIES. 

IF we wish to find in rational mechanics an a priori founda- 
tion for the principles of thermodynamics, we must seek 
mechanical definitions of temperature and entropy. The 
quantities thus defined must satisfy (under conditions and 
with limitations which again must be specified in the language 
of mechanics) the differential equation 

de = Td-q A l da l A 2 da z etc., (482) 

where e, T, and TJ denote the energy, temperature, and entropy 
of the system considered, and A^da v etc., the mechanical work 
(in the narrower sense in which the term is used in thermo- 
dynamics, i. e., with exclusion of thermal action) done upon 
external bodies. 

This implies that we are able to distinguish in mechanical 
terms the thermal action of one system on another from that 
which we call mechanical in the narrower sense, if not indeed 
in every case hi which the two may be combined, at least so as 
to specify cases of thermal action and cases of mechanical 
action. 

Such a differential equation moreover implies a finite equa- 
tion between e, ?/, and a v a 2 , etc., which may be regarded 
as fundamental in regard to those properties of the system 
which we call thermodynamic, or which may be called so from 
analogy. This fundamental thermodynamic equation is de- 
termined by the fundamental mechanical equation which 
expresses the energy of the system as function of its mo- 
menta and coordinates with those external coordinates (a v 2 , 
etc.) which appear in the differential expression of the work 
done on external bodies. We have to show the mathematical 
operations by which the fundamental thermodynamic equation, 



166 THERMODYNAMIC ANALOGIES. 

which in general is an equation of few variables, is derived 
from the fundamental mechanical equation, which in the case 
of the bodies of nature is one of an enormous number of 
variables. 

We have also to enunciate in mechanical terms, and to 
prove, what we call the tendency of heat to pass from a sys- 
tem of higher temperature to one of lower, and to show that 
this tendency vanishes with respect to systems of the same 
temperature. 

At least, we have to show by a priori reasoning that for 
such systems as the material bodies which nature presents to 
us, these relations hold with such approximation that they 
are sensibly true for human faculties of observation. This 
indeed is all that is really necessary to establish the science of 
thermodynamics on an a priori basis. Yet we will naturally 
desire to find the exact expression of those principles of which 
the laws of thermodynamics are the approximate expression. 
A very little study of the statistical properties of conservative 
systems of a finite number of degrees of freedom is sufficient 
to make it appear, more or less distinctly, that the general 
laws of thermodynamics are the limit toward which the exact 
laws of such systems approximate, when their number of 
degrees of freedom is indefinitely increased. And the problem 
of finding the exact relations, as distinguished from the ap- 
proximate, for systems of a great number of degrees of free- 
dom, is practically the same as that of finding the relations 
which hold for any number of degrees of freedom, as distin- 
guished from those which have been established on an em- 
pirical basis for systems of a great number of degrees of 
freedom. 

The enunciation and proof of these exact laws, for systems 
of any finite number of degrees of freedom, has been a princi- 
pal object of the preceding discussion. But it should be dis- 
tinctly stated that, if the results obtained when the numbers 
of degrees of freedom are enormous coincide sensibly with 
the general laws of thermodynamics, however interesting and 
significant this coincidence may be, we are still far from 



THERMODYNAMIC ANALOGIES. 167 

having explained the phenomena of nature with respect to 
these laws. For, as compared with the case of nature, the 
systems which we have considered are of an ideal simplicity. 
Although our only assumption is that we are considering 
conservative systems of a finite number of degrees of freedom, 
it would seem that this is assuming far too much, so far as the 
bodies of nature are concerned. The phenomena of radiant 
heat, which certainly should not be neglected in any complete 
system of thermodynamics, and the electrical phenomena 
associated with the combination of atoms, seem to show that 
the hypothesis of systems of a finite number of degrees of 
freedom is inadequate for the explanation of the properties of 
bodies. 

Nor do the results of such assumptions in every detail 
appear to agree with experience. We should expect, for 
example, that a diatomic gas, so far as it could be treated 
independently of the phenomena of radiation, or of any sort of 
electrical manifestations, would have six degrees of freedom 
for each molecule. But the behavior of such a gas seems to 
indicate not more than five. 

But although these difficulties, long recognized by physi- 
cists,* seem to prevent, in the present state of science, any 
satisfactory explanation of the phenomena of thermodynamics 
as presented to us in nature, the ideal case of systems of a 
finite number of degrees of freedom remains as a subject 
which is certainly not devoid of a theoretical interest, and 
which may serve to point the way to the solution of the far 
more difficult problems presented to us by nature. And if 
the study of the statistical properties of such systems gives 
us an exact expression of laws which in the limiting case take 
the form of the received laws of thermodynamics, its interest 
is so much the greater. 

Now we have defined what we have called the modulus (O) 
of an ensemble of systems canonically distributed in phase, 
and wha't we have called the index of probability (77) of any 
phase in such an ensemble. It has been shown that between 

* See Boltzmann, Sitzb. der Wiener Akad., Bd. LXIIL, S. 418, (1871). 



168 THERMODYNAMIC ANALOGIES. 

the modulus (@), the external coordinates (a l9 etc.), and the 
average values in the ensemble of the energy (e), the index 
of probability (?;), and the external forces (A 19 etc.) exerted 
by the systems, the following differential equation will hold : 



cfe = dj A l da-L JT 2 da 2 etc. (483) 

This equation, if we neglect the sign of averages, is identical 
in form with the thermodynamic equation (482), the modulus 
() corresponding to temperature, and the index of probabil- 
ity of phase with its sign reversed corresponding to entropy.* 

We have also shown that the average square of the anoma- 
lies of e, that is, of the deviations of the individual values from 
the average, is in general of the same order of magnitude as 
the reciprocal of the number of degrees of freedom, and there- 
fore to human observation the individual values are indistin- 
guishable from the average values when the number of degrees 
of freedom is very great. f In this case also the anomalies of q 
are practically insensible. The same is true of the anomalies of 
the external forces (A^ , etc.), so far as these are the result of 
the anomalies of energy, so that when these forces are sensibly 
determined by the energy and the external coordinates, and 
the number of degrees of freedom is very great, the anomalies 
of these forces are insensible. 

The mathematical operations by which the finite equation 
between e, 77, and a x , etc., is deduced from that which gives 
the energy (e) of a system in terms of the momenta (j) l . . . .p n ) 
and coordinates both internal (^ . . . <?) and external (a x , etc.), 
are indicated by the equation 

$ all 

\ e~ & =f. . .e~dq, . . . dq n dp, . . . dp n , (484) 

phases 

where ^ = rj + e. 

We have also shown that when systems of different ensem- 
bles are brought into conditions analogous to thermal contact, 
the average result is a passage of energy from the ensemble 

* See Chapter IV, pages 44, 45. t See Chapter VII, pages 73-75. 



THERMODYNAMIC ANALOGIES. 169 

of the greater modulus to that of the less, * or in case of equal 
moduli, that we have a condition of statistical equilibrium in 
regard to the distribution of energy, f 

Propositions have also been demonstrated analogous to 
those in thermodynamics relating to a Carnot's cycle,:]: or to 
the tendency of entropy to increase, especially when bodies 
of different temperature are brought into contact. || 

We have thus precisely defined quantities, and rigorously 
demonstrated propositions, which hold for any number of 
degrees of freedom, and which, when the number of degrees 
of freedom (n) is enormously great, would appear to human 
faculties as the quantities and propositions of empirical ther- 
modynamics. 

It is evident, however, that there may be more than one 
quantity denned for finite values of n, which approach the 
same limit, when n is increased indefinitely, and more than one 
proposition relating to finite values of n, which approach the 
same limiting form for n = oo. There may be therefore, 
and there are, other quantities which may be thought to have 
some claim to be regarded as temperature and entropy with 
respect to systems of a finite number of degrees of freedom. 

The definitions and propositions which we have been con- 
sidering relate essentially to what we have called a canonical 
ensemble of systems. This may appear a less natural and 
simple conception than what we have called a microcanonical 
ensemble of systems, in which all have thex-sa"me^energy v and 
which in many cases represents simply tltte time-ensemble, or 
ensemble of phases through which a single system passes in 
the course of time. 

It may therefore seem desirable to find definitions and 
propositions relating to these microcanonical ensembles, which 
shall correspond to what in thermodynamics are based on 
experience. Now the differential equation 

de = e~* Vd log F- ZTle fai - 3^] 6 da z - etc., (485) 



* See Chapter XIII, page 160. t See Chapter IV, pages 35-37. 

J See Chapter XIII, pages 162, 163. See Chapter XII, pages 143-151. 
|| See Chapter XIII, page 159. 



170 THERMODYNAMIC ANALOGIES. 

which has been demonstrated in Chapter X, and which relates to 
a microcanonical ensemble, A^ denoting the average value of 
A 1 in such an ensemble, corresponds precisely to the thermody- 
namic equation, except for the sign of average applied to the 
external forces. But as these forces are not entirely deter- 
mined by the energy with the external coordinates, the use of 
average values is entirely germane to the subject, and affords 
the readiest means of getting perfectly determined quantities. 
These averages, which are taken for a microcanonical ensemble, 
may seem from some points of view a more simple and natural 
conception than those which relate to a canonical ensemble. 
Moreover, the energy, and the quantity corresponding to en- 
tropy, are free from the sign of average in this equation. 

The quantity in the equation which corresponds to entropy 
is log FJ the quantity V being defined as the extension-in- 
phase within which the energy is less than a certain limiting 
value (e). This is certainly a more simple conception than the 
average value in a canonical ensemble of the index of probabil- 
ity of phase. Log V has the property that when it is constant 

de = - 21]. dat - A^\ f da z + etc., (486) 

which closely corresponds to the thermodynamic property of 
entropy, that when it is constant 

de = Aj_ da^ A 2 da z + etc. (487) 

The quantity in the equation which corresponds to tem- 
perature is e~* F", or dejd log V. In a canonical ensemble, the 
average value of this quantity is equal to the modulus, as has 
been shown by different methods in Chapters IX and X. 

In Chapter X it has also been shown that if the systems 
of a microcanonical ensemble consist of parts with separate 
energies, the average value of e~* Vi or any part is equal to its 
average value for any other part, and to the uniform value 
of the same expression for the whole ensemble. This corre- 
sponds to the theorem in the theory of heat that in case of 
thermal equilibrium the temperatures of the parts of a body 
are equal to one another and to that of the whole body. 



THERMODYNAMIC ANALOGIES. 171 

Since the energies of the parts of a body cannot be supposed 
to remain absolutely constant, even where this is the case 
with respect to the whole body, it is evident that if we regard 
the temperature as a function of the energy, the taking of 
average or of probable values, or some other statistical process, 
must be used with reference to the parts, in order to get a 
perfectly definite value corresponding to the notion of tem- 
perature. 

It is worthy of notice in this connection that the average 
value of the kinetic energy, either in a microcanonical en- 
semble, or in a canonical, divided by one half the number of 
degrees of freedom, is equal to e~* "FJ or to its average value, 
and that this is true not only of the whole system which is 
distributed either microcanonically or canonically, but also 
of any part, although the corresponding theorem relating to 
temperature hardly belongs to empirical thermodynamics, since 
neither the (inner) kinetic energy of a body, nor its number 
of degrees of freedom is immediately cognizable to our facul- 
ties, and we meet the gravest difficulties when we endeavor 
to apply the theorem to the theory of gases, except in the 
simplest case, that of the gases known as monatomic. 

But the correspondence between &~* V or dejd log V and 
temperature is imperfect. If two isolated systems have such 
energies that 

de-L de 2 

d log FI ~~ d log F 2 ' 

and the two systems are regarded as combined to form a third 
system with energy 

12 = ex + e 2> 
we shall not have in general 

deiz de l de z 



dlog F 12 ~~ dlog Fi ~ dlog F 2 ' 

as analogy with temperature would require. In fact, we have 
seen that 



d log F 12 d log Fit M ~~ d log Fj 



172 THERMODYNAMIC ANALOGIES. 

where the second and third members of the equation denote 
average values in an ensemble in which the compound system 
is microcanonically distributed in phase. Let us suppose the 
two original systems to be identical in nature. Then 



The equation in question would require that 



i. e., that we get the same result, whether we take the value 
of de l /dlog V} determined for the average value of e 1 in the 
ensemble, or take the average value of de^dlog F" r This 
will be the case where de^dlog V^ is a linear function of e r 
Evidently this does not constitute the most general case. 
Therefore the equation in question cannot be true in general. 
It is true, however, in some very important particular cases, as 
when the energy is a quadratic function of the p's and ^'s, or 
of the p's alone.* When the equation holds, the case is anal- 
ogous to that of bodies in thermodynamics for which the 
specific heat for constant volume is constant. 

Another quantity which is closely related to temperature is 
dcfr/de. It has been shown in Chapter IX that in a canonical 
ensemble, if n > 2, the average value of d(f>fde is I/, and 
that the most common value of the energy in the ensemble is 
that for which d$/de = I/. The first of these properties 
may be compared with that of de/dlog V, which has been 
seen to have the average value in a canonical ensemble, 
without restriction in regard to the number of degrees of 
freedom. 

With respect to microcanonical ensembles also, dfyjde has 
a property similar to what has been mentioned with respect to 
de/d log V. That is, if a system microcanonically distributed 
in phase consists of two parts with separate energies, and each 

* This last case is important on account of its relation to the theory of 
gases, although it must in strictness be regarded as a limit of possible cases, 
rather than as a case which is itself possible. 




THERMODYNAMIC ANALOGIES. 173 

with more than two degrees of freedom, the average values in 
the ensemble of d(f)/de for the two parts are equal to one 
another and to the value of same expression for the whole. 
In our usual notations 



"^12 

de 2 L 2 ~" de lz 



if TI X > 2, and n 2 > 2. 

This analogy with temperature has the same incompleteness 
which was noticed with respect to de/dlog V, viz., if two sys- 
tems have such energies (ej and e 2 ) that 



and they are combined to form a third system with energy 

*ia = 1 + 2 , 

we shall not have in general 

c?0 12 _ dfa __ d<f> z 
di 2 de L de z ' 

Thus, if the energy is a quadratic function of the p's and <?'s, 
we have * 



e 12 la e l + e 2 

where n t , w 2 , w 12 , are the numbers of degrees of freedom of the 
separate and combined systems. But 

dfa d<f> 2 HI + n% 2 
de l ~ de 2 " e 1 + e z 

If the energy is a quadratic function of the p's alone, the case 
would be the same except that we should have J n^ , J w 2 , J w 12 , 
instead of w x , w 2 , w 12 . In these particular cases, the analogy 

* See foot-note on page 93. We have here made the least value of the 
energy consistent with the values of the external coordinates zero instead 
of e a , as is evidently allowable when the external coordinates are supposed 
invariable. 



174 THERMODYNAMIC ANALOGIES. 

between de/d log V and temperature would be complete, as has 
already been remarked. We should have 

de l e^ c?6 2 _ e 2 

n' 9 dlo V~' 




_ = 
MM rflog F! dlogV 2 ' 

when the energy is a quadratic function of the p's and #'s, and 
similar equations with % , J ra 2 , -|- w 12 , instead of ^ , w 2 , w 12 , 
when the energy is a quadratic function of the >'s alone. 

More characteristic of dcf>/de are its properties relating to 
most probable values of energy. If a system having two parts 
with separate energies and each with more than two degrees 
of freedom is microcanonically distributed in phase, the most 
probable division of energy between the parts, in a system 
taken at random from the ensemble, satisfies the equation 

^ = ^, (488) 

de l de 2 

which corresponds to the thermodynamic theorem that the 
distribution of energy between the parts of a system, in case of 
thermal equilibrium, is such that the temperatures of the parts 
are equal. 

To prove the theorem, we observe that the fractional part 
of the whole number of systems which have the energy of one 
part (ej) between the limits e/ and e/ is expressed by 

r*f. ****>, 

T i 

where the variables are connected by the equation 
j -|- 2 = constant = e i2 . 

The greatest value of this expression, for a constant infinitesi- 
mal value of the difference e x " e/, determines a value of e 1 , 
which we may call its most probable value. This depends on 
the greatest possible value of fa + fa. Now if n^ > 2, and 
w 2 > 2, we shall have fa = oo for the least possible value of 



THERMODYNAMIC ANALOGIES. 175 

6j , and <f> 2 = QO for the least possible value of e 2 . Between 
these limits (/> x and < 2 will be finite and continuous. Hence 
$! + < 2 will have a maximum satisfying the equation (488). 

But if n^ < 2, or w 2 < 2, d(f) 1 /d l or d$ 2 /de 2 may be nega- 
tive, or zero, for all values of e 1 or e 2 , and can hardly be 
regarded as having properties analogous to temperature. 

It is also worthy of notice that if a system which is micro- 
canonically distributed in phase has three parts with separate 
energies, and each with more than two degrees of freedom, the 
most probable division of energy between these parts satisfies 
the equation 



That is, this equation gives the most probable set of values 
of ej, 6 2 , and e 3 . But it does not give the most probable 
value of e l , or of e 2 , or of e 3 . Thus, if the energies are quad- 
ratic functions of the p 9 s and <?'s, the most probable division 
of energy is given by the equation 

HI 1 _ n<2, 1 _ n z 1 

i i 

But the most probable value of ei is given by 



while the preceding equations give 
KI 1 ^2 + 

1 

These distinctions vanish for very great values of n^ , n 2 , w 3 . 
For small values of these numbers, they are important. Such 
facts seem to indicate that the consideration of the most 
probable division of energy among the parts of a system does 
not afford a convenient foundation for the study of thermody- 
namic analogies in the case of systems of a small number of 
degrees of 'freedom. The fact that a certain division of energy 
is the most probable has really no especial physical importance, 
except when the ensemble of possible divisions are grouped so 



176 THERMODYNAMIC ANALOGIES. 

closely together that the most probable division may fairly 
represent the whole. This is in general the case, to a very 
close approximation, when n is enormously great ; it entirely 
fails when n is small. 

If we regard dcfr/de as corresponding to the reciprocal of 
temperature, or, in other words, de/d(f> as corresponding to 
temperature, < will correspond to entropy. It has been denned 
as log (d V/de). In the considerations on which its definition 
is founded, it is therefore very similar to log F". We have 
seen that d(j>/dlogV approaches the value unity when n is 
very great.* . 

To form a differential equation on the model of the thermo- 
dynamic equation (482), in which de/dcf) shall take the place 
of temperature, and < of entropy, we may write 

da * + etc -> ( 489 > 



or <Z*= de + da 1 + da 2 + ete. (490) 

de da-L da 2 

With respect to the differential coefficients in the last equa- 
tion, which corresponds exactly to (482) solved with respect 
to drj 9 we have seen that their average values in a canonical 
ensemble are equal to I/, and the averages of A l /, A 2 /, 
etc.f We have also seen that de/dcfr (or d(f>/de) has relations 
to the most probable values of energy in parts of a microca- 
nonical ensemble. That (del da^)^, etc., have properties 
somewhat analogous, may be shown as follows. 

In a physical experiment, we measure a force by balancing it 
against another. If we should ask what force applied to in- 
crease or diminish & x would balance the action of the systems, 
it would be one which varies with the different systems. But 
we may ask what single force will make a given value of a^ 
the most probable, and we shall find that under certain condi- 
tions (de/da^Q, a represents that force. 

* See Chapter X, pages 120, 121. 

t See Chapter IX, equations (321), (327). 



THERMODYNAMIC ANALOGIES. 177 

To make the problem definite, let us consider a system con- 
sisting of the original system together with another having 
the coordinates a^ , a 2 , etc., and forces AJ, A<, etc., tending 
to increase those coordinates. These are in addition to the 
forces A v A v etc., exerted by the original system, and are de- 
rived from a force-function ( e g ') by the equations 

^;_ &J A,- _^L etc 

Al ' ~d^> da 2 ' 

For the energy of the whole system we may write 
E = e + ej + Jm 1 a' 1 2 + im 2 a 2 2 + etc., 

and for the extension-in-phase of the whole system within any 
limits 

I ... I dpi . . . dq n da,i mi da da z m z da 2 . . . 

or I . . . I e$ de da-^ m 1 da^ da z m 2 da 2 . . . , 

or again I . . . / e^ d& da t m x dai da 2 m 2 da 2 . . . , 

since de = c?E, when a x , a x , a 2 , 2 , etc., are constant. If the 
limits are expressed by E and E + c?E, a^ and a-^ + da^ , a 1 and 
j + da-^ , etc., the integral reduces to 



The values of ^ , a x , 2 , <z 2 , etc., which make this expression 
a maximum for constant values of the energy of the whole 
system and of the differentials dE, da 19 da l9 etc., are what may 
be called the most probable values of a x , a^ , etc., in an ensem- 
ble in which the whole system is distributed microcanonieally. 
To determine these values we have 

de* = 0, 
when d(e + e q ' + i m of + i m 2 2 2 + etc.) = 0. 

That is, d$ 0, 

12 



178 THERMODYNAMIC ANALOGIES. 



when 

( - 
< 



etc. + m-^ a\ da t + etc. = 0. 



This requires % = 0, a z = 0, etc., 

and (-vM =^i, fir] = A', etc. 

\i/^,a \da*J^ a 

This shows that for any given values of E, aj, a 2 , etc. 

( -7 ) , ( -: ) , etc., represent the forces (in the oren- 
\aai/*,a \da z j^ a 

eralized sense) which the external bodies would have to exert 
to make these values of a^ , 2 , etc., the most probable under 
the conditions specified. When the differences of the external 
forces which are exerted by the different systems are negli- 
gible, (d/da^)$ tm etc., represent these forces. 

It is certainly in the quantities relating to a canonical 
ensemble, e, , ??, JL 1? etc., a x , etc., that we find the most 
complete correspondence with the quantities of the thermody- 
namic equation (482). Yet the conception itself of the canon- 
ical ensemble may seem to some artificial, and hardly germane 
to a natural exposition of the subject; and the quantities 
de . Tr -, . de de 

S v > a. ete " i. etc " ore ' - 



etc., flj, etc., which are closely related to ensembles of constant 
energy, and to average and most probable values in such 
ensembles, and most of which are defined without reference 
to any ensemble, may appear the most natural analogues of 
the thermodynamic quantities. 

In regard to the naturalness of seeking analogies with the 
thermodynamic behavior of bodies in canonical or microca- 
nonical ensembles of systems, much will depend upon how we 
approach the subject, especially upon the question whether we 
regard energy or temperature as an independent variable. 

It is very natural to take energy for an independent variable 
rather than temperature, because ordinary mechanics furnishes 
us with a perfectly defined conception of energy, whereas the 
idea of something relating to a mechanical system and corre- 



THERMODYNAMIC ANALOGIES. 179 

spending to temperature is a notion but vaguely denned. Now 
if the state of a system is given by its energy and the external 
coordinates, it is incompletely denned, although its partial defi- 
nition is perfectly clear as far as it goes. The ensemble of 
phases microcanonically distributed, with the given values of 
the energy and the external coordinates, will represent the im- 
perfectly defined system better than any other ensemble or 
single phase. When we approach the subject from this side, 
our theorems will naturally relate to average values, or most 
probable values, in such ensembles. 

In this case, the choice between the variables of (485) or of 
(489) will be determined partly by the relative importance 
which is attached to average and probable values. It would 
seem that in general average values are the most important, and 
that they lend themselves better to analytical transformations. 
This consideration would give the preference to the system of 
variables in which log V is the analogue of entropy. Moreover, 
if we make <f> the analogue of entropy, we are embarrassed by 
the necessity of making numerous exceptions for systems of 
one or two degrees of freedom. 

On the other hand, the definition of < may be regarded as a 
little more simple than that of log F", and if our choice is deter- 
mined by the simplicity of the definitions of the analogues of 
entropy and temperature, it would seem that the < system 
should have the preference. In our definition of these quanti- 
ties, V was defined first, and e^ derived from V by differen- 
tiation. This gives the relation of the quantities in the most 
simple analytical form. Yet so far as the notions are con- 
cerned, it is perhaps more natural to regard Fas derived from 
C* by integration. At all events, e* may be defined inde- 
pendently of F", and its definition niay be regarded as more 
simple as not requiring the determination of the zero from 
which V is measured, which sometimes involves questions 
of a delicate nature. In fact, the quantity e* may exist, 
when the definition of V becomes illusory for practical pur- 
poses, as the integral by which it is determined becomes infinite. 

The case is entirely different, when we regard the tempera- 



180 THERMODYNAMIC ANALOGIES. 

ture as an independent variable, and we have to consider a 
system which is described as having a certain temperature and 
certain values for the external coordinates. Here also the 
state of the system is not completely denned, and will be 
better represented by an ensemble of phases than by any single 
phase. What is the nature of such an ensemble as will best 
represent the imperfectly defined state ? 

When we wish to give a body a certain temperature, we 
place it in a bath of the proper temperature, and when we 
regard what we call thermal equilibrium as established, we say 
that the body has the same temperature as the bath. Per- 
haps we place a second body of standard character, which we 
call a thermometer, in the bath, and say that the first body, 
the bath, and the thermometer, have all the same temperature. 

But the body under such circumstances, as well as the 
bath, and the thermometer, even if they were entirely isolated 
from external influences (which it is convenient to suppose 
in a theoretical discussion), would be continually changing in 
phase, and in energy as well as in other respects, although 
our means of observation are not fine enough to perceive 
these variations. 

The series of phases through which the whole system runs 
in the course of time may not be entirely determined by the 
energy, but may depend on the initial phase in other respects. 
In such cases the ensemble obtained by the microcanonical 
distribution of the whole system, which includes all possible 
time-ensembles combined in the proportion which seems least 
arbitrary, will represent better than any one time-ensemble 
the effect of the bath. Indeed a single time-ensemble, when 
it is not also a microcanonical ensemble, is too ill-defined a 
notion to serve the purposes of a general discussion. We 
will therefore direct our attention, when we suppose the body 
placed in a bath, to the microcanonical ensemble of phases 
thus obtained. 

If we now suppose the quantity of the substance forming 
the bath to be increased, the anomalies of the separate ener- 
gies of the body and of the thermometer in the microcanonical 



THERMODYNAMIC ANALOGIES. 181 

ensemble will be increased, but not without limit. The anom- 
alies of the energy of the bath, considered in comparison with 
its whole energy, diminish indefinitely as the quantity of the 
bath is increased, and become in a sense negligible, when 
the quantity of the bath is sufficiently increased. The 
ensemble of phases of the body, and of the thermometer, 
approach a standard form as the quantity of the bath is in- 
definitely increased. This limiting form is easily shown to be 
what we have described as the canonical distribution. 

Let us write e for the energy of the whole system consisting 
of the body first mentioned, the bath, and the thermometer 
(if any), an4 let us first suppose this system to be distributed 
canonically with the modulus . We have by (205) 



and since e p = = 



de _ n de 
H~~2de p ' 
If we write Ae for the anomaly of mean square, we have 



d 
If we set 



A will represent approximately the increase of which 
would produce an increase in the average value of the energy 
equal to its anomaly of mean square. Now these equations 
give 



(A)* = - 
n 

which shows that we may diminish A indefinitely by increas- 
ing the quantity of the bath. 

Now our canonical ensemble consists of an infinity of micro- 
canonical ensembles, which differ only in consequence of the 
different values of the energy which is constant in each. If 
we consider separately the phases of the first body which 



182 THERMODYNAMIC ANALOGIES. 

occur in the canonical ensemble of the whole system, these 
phases will form a canonical ensemble of the same modulus. 
This canonical ensemble of phases of the first body will con- 
sist of parts which belong to the different microcanonical 
ensembles into which the canonical ensemble of the whole 
system is divided. 

Let us now imagine that the modulus of the principal ca- 
nonical ensemble is increased by 2 A (8), and its average energy 
by 2Ae. The modulus of the canonical ensemble of the 
phases of the first body considered separately will be increased 
by 2 A . We may regard the infinity of microcanonical en- 
sembles into which we have divided the principal canonical 
ensemble as each having its energy increased by 2Ae. Let 
us see how the ensembles of phases of the first body con- 
tained in these microcanonical ensembles are affected. We 
may assume that they will all be affected in about the same 
way, as all the differences which come into account may be 
treated as small. Therefore, the canonical ensemble formed by 
taking them together will also be affected in the same way. 
But we know how this is affected. It is by the increase of 
its modulus by 2 A, a quantity which vanishes when the 
quantity of the bath is indefinitely increased. 

In the case of an infinite bath, therefore, the increase of the 
energy of one of the microcanonical ensembles by 2Ae, pro- 
duces a vanishing effect on the distribution in energy of the 
phases of the first body which it contains. But 2Ae is more 
than the average difference of energy between the micro- 
canonical ensembles. The distribution in energy of these 
phases is therefore the same in the different microcanonical 
ensembles, and must therefore be canonical, like that of the 
ensemble which they form when taken together.* 

* In order to appreciate the above reasoning, it should be understood that 
the differences of energy which occur in the canonical ensemble of phases of 
the first body are not here regarded as vanishing quantities. To fix one's 
ideas, one may imagine that he has the fineness of perception to make these 
differences seem large. The difference between the part of these phases 
which belong to one microcanonical ensemble of the whole system and the 
part which belongs to another would still be imperceptible, when the quan- 
tity of the bath is sufficiently increased. 



THERMODYNAMIC ANALOGIES. 183 

As a general theorem, the conclusion may be expressed in 
the words : If a system of a great number of degrees of 
freedom is microcanonically distributed in phase, any very 
small part of it may be regarded as canonically distributed.* 

It would seem, therefore, that a canonical ensemble of 
phases is what best represents, with the precision necessary 
for exact mathematical reasoning, the notion of a body with 
a given temperature, if we conceive of the temperature as the 
state produced by such processes as we actually use in physics 
to produce a given temperature. Since the anomalies of the 
body increase with the quantity of the bath, we can only get 
rid of all that is arbitrary in the ensemble of phases which is 
to represent the notion of a body of a given temperature by 
making the bath infinite, which brings us to the canonical 
distribution. 

A comparison of temperature and entropy with their ana- 
logues in statistical mechanics would be incomplete without a 
consideration of their differences with respect to units and 
zeros, and the numbers used for their numerical specification. 
If we apply the notions of statistical mechanics to such bodies 
as we usually consider in thermodynamics, for which the 
kinetic energy is of the same order of magnitude as the unit 
of energy, but the number of degrees of freedom is enormous, 
the values of B, de/dlogV, and de/d<f> will be of the same 
order of magnitude as 1/w, and the variable part of ?;, log V, 
and <j> will be of the same order of magnitude as w.f If these 
quantities, therefore, represent in any sense the notions of tem- 
perature and entropy, they will nevertheless not be measured 
in units of the usual order of magnitude, a fact which must 
be borne in mind in determining what magnitudes may be 
regarded as insensible to human observation. 

Now nothing prevents our supposing energy and time in 
our statistical formulae to be measured in such units as may 

* It is- assumed and without this assumption the theorem would have 
no distinct meaning that the part of the ensemble considered may be 
regarded as having separate energy. 

t See equations (124), (288), (289), and (314) ; also page 106. 



184 THERMODYNAMIC ANALOGIES. 

be convenient for physical purposes. But when these units 
have been chosen, the numerical values of , de/dlogV, 
de/d<j>, 7), log FJ <, are entirely determined,* and in order to 
compare them with temperature and entropy, the numerical 
values of which depend upon an arbitrary unit, we must mul- 
tiply all values of , de/dlogV, de',d^ by a constant (7T), 
and divide all values of 77, log FJ and <f> by the same constant. 
This constant is the same for all bodies, and depends only on 
the units of temperature and energy which we employ. For 
ordinary units it is of the same order of magnitude as the 
numbers of atoms in ordinary bodies. 

We are not able to determine the numerical value of K> 
as it depends on the number of molecules in the bodies with 
which we experiment. To fix our ideas, however, we may 
seek an expression for this value, based upon very probable 
assumptions, which will show how we would naturally pro- 
ceed to its evaluation, if our powers of observation were fine 
enough to take cognizance of individual molecules. 

If the unit of mass of a monatomic gas contains v atoms, 
and it may be treated as a system of 3 v degrees of free- 
dom, which seems to be the case, we have for canonical 
distribution 



If we write T for temperature, and c v for the specific heat- of 
the gas for constant volume (or rather the limit toward 
which this specific heat tends, as rarefaction is indefinitely 
increased), we have 



since we may regard the energy as entirely kinetic. We may 
set the e p of this equation equal to the e p of the preceding, 

* The unit of time only affects the last three quantities, and these only 
by an additive constant, which disappears (with the additive constant of 
entropy), when differences of entropy are compared with their statistical 
analogues. See page 19. 



THERMODYNAMIC ANALOGIES. 185 

where indeed the individual values of which the average is 
taken would appear to human observation as identical. This 

gives 

d 2c v 



whence =' < 493) 

a value recognized by physicists as a constant independent of 
the kind of monatomic gas considered. 

We may also express the value of K in a somewhat different 
form, which corresponds to the indirect method by which 
physicists are accustomed to determine the quantity c v . The 
kinetic energy due to the motions of the centers of mass of 
the molecules of a mass of gas sufficiently expanded is easily 
shown to be equal to 



where p and v denote the pressure and volume. The average 
value of the same energy in a canonical ensemble of such 
a mass of gas is 

J0v, 

where v denotes the number of molecules in the gas. Equat- 
ing these values, we have 

pv = v , (494) 

whence J~~T~^' ( 495 ) 

Now the laws of Boyle, Charles, and Avogadro may be ex- 
pressed by the equation 

pv AvT, (496) 

where A is a constant depending only on the units hi which 
energy and temperature are measured. 1 / K, therefore, might 
be called the constant of the law of Boyle, Charles, and 
Avogadro as expressed with reference to the true number of 
molecules in a gaseous body. 

Since such numbers are unknown to us, it is more conven- 
ient to express the law with reference to relative values. If 
we denote by M the so-called molecular weight of a gas, that 



186 THERMODYNAMIC ANALOGIES. 

is, a number taken from a table of numbers proportional to 
the weights of various molecules and atoms, but having one 
of the values, perhaps the atomic weight of hydrogen, arbi- 
trarily made unity, the law of Boyle, Charles, and Avogadro 
may be written in the more practical form 

pv = A'T-^, (497) 

JXL 

where A' is a constant and m the weight of gas considered. 
It is evident that 1 K is equal to the product of the constant 
of the law in this form and the (true) weight of an atom of 
hydrogen, or such other atom or molecule as may be given 
the value unity in the table of molecular weights. 

In the following chapter we shall consider the necessary 
modifications in the theory of equilibrium, when the quantity 
of matter contained in a system is to be regarded as variable, 
or, if the system contains more than one kind of matter, 
when the quantities of the several kinds of matter in the 
system are to be regarded as independently variable. This 
will give us yet another set of variables in the statistical 
equation, corresponding to those of the amplified form of 
the thennodynamic equation. 



CHAPTER XV. 

SYSTEMS COMPOSED OF MOLECULES. 

THE nature of material bodies is such, that especial interest 
attaches to the dynamics of systems composed of a great 
number of entirely similar particles, or, it may be, of a great 
number of particles of several kinds, all of each kind being 
entirely similar to each other. We shall therefore proceed to 
consider systems composed of such particles, whether in great 
numbers or otherwise, and especially to consider the statistical 
equilibrium of ensembles of such systems. One of the varia- 
tions to be considered in regard to such systems is a variation 
in the numbers of the particles of the various kinds which it 
contains, and the question of statistical equilibrium between 
two ensembles of such systems relates in part to the tendencies 
of the various kinds of particles to pass from the one to the 
other. 

First of all, we must define precisely what is meant by 
statistical equilibrium of such an ensemble of systems. The 
essence of statistical equilibrium is the permanence of the 
number of systems which fall within any given limits with 
respect to phase. We have therefore to define how the term 
" phase " is to be understood in such cases. If two phases differ 
only in that certain entirely similar particles have changed 
places with one another, are they to be regarded as identical 
or different phases? If the particles are regarded as indis- 
tinguishable, it seems in accordance with the spirit of the 
statistical method to regard the phases as identical. In fact, 
it might be urged that in such an ensemble of systems as we 
are considering no identity is possible between the particles 
of different systems except that of qualities, and if v particles 
of one system are described as entirely similar to one another 
and to v of another system, nothing remains on which to base 



188 SYSTEMS COMPOSED OF MOLECULES. 

the indentification of any particular particle of the first system 
with any particular particle of the second. And this would 
be true, if the ensemble of systems had a simultaneous 
objective existence. But it hardly applies to the creations 
of the imagination. In the cases which we have been con- 
sidering, and in those which we shall consider, it is not only 
possible to conceive of the motion of an ensemble of similar 
systems simply as possible cases of the motion of a single 
system, but it is actually in large measure for the sake of 
representing more clearly the possible cases of the motion of 
a single system that we use the conception of an ensemble 
of systems. The perfect similarity of several particles of a 
system will not in the least interfere with the identification 
of a particular particle in one case with a particular particle 
in another. The question is one to be decided in accordance 
with the requirements of practical convenience in the discus- 
sion of the problems with which we are engaged. 

Our present purpose will often require us to use the terms 
phase, density-in-phase, statistical equilibrium, and other con- 
nected terms on the supposition that phases are not altered 
by the exchange of places between similar particles. Some 
of the most important questions with which we are concerned 
have reference to phases thus defined. We shall call them 
phases determined by generic definitions, or briefly, generic 
phases. But we shall also be obliged to discuss phases de- 
fined by the narrower definition (so that exchange of position 
between similar particles is regarded as changing the phase), 
which will be called phases determined by specific definitions, 
or briefly, specific phases. For the analytical description of 
a specific phase is more simple than that of a generic phase. 
And it is a more simple matter to make a multiple integral 
extend over all possible specific phases than to make one extend 
without repetition over all possible generic phases. 

It is evident that if i>i, v z . . . v h , are the numbers of the dif- 
ferent kinds of molecules in any system, the number of specific 
phases embraced in one generic phase is represented by the 
continued product [z^ [^ ]^ and the coefficient of probabil- 



SYSTEMS COMPOSED OF MOLECULES. 189 

ity of a generic phase is the sum of the probability-coefficients 
of the specific phases which it represents. When these are 
equal among themselves, the probability-coefficient of the gen- 
eric phase is equal to that of the specific phase multiplied by 
[z/i 1 1> 2 . . . \vg It is also evident that statistical equilibrium 
may subsist with respect to generic phases without statistical 
equilibrium with respect to specific phases, but not vice versa. 

Similar questions arise where one particle is capable of 
several equivalent positions. Does the change from one of 
these positions to another change the phase? It would be 
most natural and logical to make it affect the specific phase, 
but not the generic. The number of specific phases contained 
in a generic phase would then be \v /e/ 1 . . . |z^ /c h \ where 
K V . . . K h denote the numbers of equivalent positions belong- 
ing to the several kinds of particles. The case in which a K is 
infinite would then require especial attention. It does not 
appear that the resulting complications in the formulae would 
be compensated by any real advantage. The reason of this is 
that in problems of real interest equivalent positions of a 
particle will always be equally probable. In this respect, 
equivalent positions of the same particle are entirely unlike 
the [^different ways in which v particles may be distributed 
in v different positions. Let it therefore be understood that 
in spite of the physical equivalence of different positions of 
the same particle they are to be considered as constituting a 
difference of generic phase as well as of specific. The number 
of specific phases contained in a generic phase is therefore 
always given by the product \v^\v^ . [iy 

Instead of considering, as in the preceding chapters, en- 
sembles of systems differing only in phase, we shall now 
suppose that the systems constituting an ensemble are com- 
posed of particles of various kinds, and that they differ not 
only in phase but also in the numbers of these particles which 
they contain. The external coordinates of all the systems in 
the ensemble are supposed, as heretofore, to have the same 
value, and when they vary, to vary together. For distinction, 
we may call such an ensemble a grand ensemble, and one in 



190 SYSTEMS COMPOSED OF MOLECULES. 

which the systems differ only in phase a petit ensemble. A 
grand ensemble is therefore composed of a multitude of petit 
ensembles. The ensembles which we have hitherto discussed 
are petit ensembles. 

Let i>j, . . . v h9 etc., denote the numbers of the different 
kinds of particles in a system, e its energy, and q l1 . . . q n , 
p l , . . . p n its coordinates and momenta. If the particles are of 
the nature of material points, the number of coordinates (n) 
of the system will be equal to 3 v l . . . + 3 v h . But if the parti- 
cles are less simple in their nature, if they are to be treated 
as rigid solids, the orientation of which must be regarded, or 
if they consist each of several atoms, so as to have more than 
three degrees of freedom, the number of coordinates of the 
system will be equal to the sum of v lt i> 2 , etc., multiplied 
each by the number of degrees of freedom of the kind of 
particle to which it relates. 

Let us consider an ensemble in which the number of 
systems having v 19 . . . v h particles of the several kinds, and 
having values of their coordinates and momenta lying between 
the limits q l and q^ + dq 1 , p 1 and p l + dp l , etc., is represented 
by the expression 



(498) 



where IV, O, , /^ , . . . p h are constants, N denoting the total 
number of systems in the ensemble. The expression 

Q-f Wi - 



Ne (499) 

[vi."h 

evidently represents the density-in-phase of the ensemble 
within the limits described, that is, for a phase specifically 
defined. The expression 



e * (500) 



SYSTEMS COMPOSED OF MOLECULES. 191 

is therefore the probability-coefficient for a phase specifically 
defined. This has evidently the same value for all the 
[iY . . . \v h phases obtained by interchanging the phases of 
particles of the same kind. The probability-coefficient for a 
generic phase will be \vi_. . . [z^ times as great, viz., 



e . (501) 

We shall say that such an ensemble as has been described 
is canonically distributed, and shall call the constant its 
modulus. It is evidently what we have called a grand ensem- 
ble. The petit ensembles of which it is composed are 
canonically distributed, according to the definitions of Chapter 
IV, since the expression 



(502) 



is constant for each petit ensemble. The grand ensemble, 
therefore, is in statistical equilibrium with respect to specific 
phases. 

If an ensemble, whether grand or petit, is identical so far 
as generic phases are concerned with one canonically distrib- 
uted, we shall say that its distribution is canonical with 
respect to generic phases. Such an ensemble is evidently in 
statistical equilibrium with respect to generic phases, although 
it may not be so with respect to specific phases. 

If we write H for the index of probability of a generic phase 
in a grand ensemble, we have for the case of canonical 
distribution 

H = + M.n + >**- _ (503) 

It will be observed that the H is a linear function of e and 
v v . . . v h ; also that whenever the index of probability of 
generic phases in a grand ensemble is a linear function of 
e, j/j, . . . v h i the ensemble is canonically distributed with 
respect to generic phases. 






192 SYSTEMS COMPOSED OF MOLECULES. 

The constant Ii we may regard as determined by the 
equation 



/C]\TP 
/ ^n - i - dp,... dq n , (504) 

phases J ln-'-b_ 

or 



[1/1 . . . [ 

' phases 



(505) 



where the multiple sum indicated by 2 Vl . . . 2 rft includes all 
terms obtained by giving to each of the symbols vi . . . v h all 
integral values from zero upward, and the multiple integral 
(which is to be evaluated separately for each term of the 
multiple sum) is to be extended over all the (specific) phases 
of the system having the specified numbers of particles of the 
various kinds. The multiple integral hi the last equation is 

JL 

what we have represented by e . See equation (92). We 
may therefore write 



It should be observed that the summation includes a term 
in which all the symbols v l . . . v h have the value zero. We 
must therefore recognize in a certain sense a system consisting 
of no particles, which, although a barren subject of study in 
itself, cannot well be excluded as a particular case of a system 
of a variable number of particles. In this case e is constant, 
and there are no integrations to be performed. We have 
therefore* 

_4 _1 
e = e , i. e. y \j/ = e. 

* This conclusion may appear a little strained. The original definition 
of ^ may not be regarded as fairly applying to systems of no degrees of 
freedom. We may therefore prefer to regard these equations as defining 
4/ in this case. 




SYSTEMS COMPOSED OF MOLECULES. 193 

The value of e p is of course zero in this case. But the 
value of e q contains an arbitrary constant, which is generally 
determined by considerations of convenience, so that e g and e 
do not necessarily vanish with v^ , . . . v h . 

Unless II has a finite value, our formulae become illusory. 
We have already, in considering petit ensembles canonically 
distributed, found it necessary to exclude cases in which ty 
has not a finite value.* The same exclusion would here 
make ^r finite for any finite values of v l . . . v h . This does 
not necessarily make a multiple series of the form (506) finite. 
We may observe, however, that if for all values of v l . . . v h 

\l/ ^. CQ + ^1 Vl) 4" C h V ht (507) 

where , c v . . . c h are constants or functions of , 

Co-MMl+CjK . . . -K/*A+C A V A 



e 



^ 



_n p 
& e 



O. c_ 
0^0 



. . . e 



-+ e .-. + e (508) 

The value of II will therefore be finite, when the condition 
(507) is satisfied. If therefore we assume that fl is finite, 
we do not appear to exclude any cases which are analogous to 
those of nature.f 

The interest of the ensemble which has been described lies 
in the fact that it may be in statistical equilbrium, both in 

* See Chapter IV, page 35. 

t If the external coordinates determine a certain volume within which the 
system is" confined, the contrary of (507) would imply that we could obtain 
an infinite amount of work by crowding an infinite quantity of matter into a 
finite volume. 

13 



194 SYSTEMS COMPOSED OF MOLECULES. 

respect to exchange of energy and exchange of particles, with 
other grand ensembles canonically distributed and having the 
same values of and of the coefficients p v ^ 2 , etc., when the 
circumstances are such that exchange of energy and of 
particles are possible, and when equilibrium would not sub- 
sist, were it not for equal values of these constants in the two 
ensembles. 

With respect to the exchange of energy, the case is exactly 
the same as that of the petit ensembles considered in Chapter 
IV, and needs no especial discussion. The question of ex- 
change of particles is to a certain extent analogous, and may 
be treated in a somewhat similar manner. Let us suppose 
that we have two grand ensembles canonically distributed 
with respect to specific phases, with the same value of the 
modulus and of the coefficients ^ . . . fi h , and let us consider 
the ensemble of all the systems obtained by combining each 
system of the first ensemble with each of the second. 

The probability-coefficient of a generic phase in the first 
ensemble may be expressed by 



e & (509) 

The probability-coefficient of a specific phase will then be 
expressed by 



(510) 



since each generic phase comprises \v^ . . . [z^ specific phases. 
In the second ensemble the probability-coefficients of the 
generic and specific phases will be 



SYSTEMS COMPOSED OF MOLECULES. 195 

The probability-coefficient of a generic phase in the third 
ensemble, which consists of systems obtained by regarding 
each system of the first ensemble combined with each of the 
second as forming a system, will be the product of the proba- 
bility-coefficients of the generic phases of the systems com- 
bined, and will therefore be represented by the formula 



e (513) 

where ft"' = ft' + ft", e'" = e' + e", vi'" = vj + z>i", etc. It 
will be observed that i//", etc., represent the numbers of 
particles of the various kinds in the third ensemble, and e'" 
its energy ; also that ft'" is a constant. The third ensemble 
is therefore canonically distributed with respect to generic 
phases. 

If all the systems in the same generic phase in the third 
ensemble were equably distributed among the zV" | vjj" spe- 



cific phases which are comprised in the generic phase, the prob- 
ability-coefficient of a specific phase would be 



In fact, however, the probability-coefficient of any specific 
phase which occurs in the third ensemble is 



which we get by multiplying the probability-coefficients of 
specific phases in the first and second ensembles. The differ- 
ence between the formulae (514) and (515) is due to the fact 
that the generic phases to which (513) relates include not 
only the specific phases occurring in the third ensemble and 
having the probability-coefficient (515), but also all the 
specifier phases obtained from these by interchange of similar 
particles between two combined systems. Of these the proba- 



196 SYSTEMS COMPOSED OF MOLECULES. 

bility-coefficient is evidently zero, as they do not occur in the 
ensemble. 

Now this third ensemble is in statistical equilibrium, with 
respect both to specific and generic phases, since the ensembles 
from which it is formed are so. This statistical equilibrium 
is not dependent on the equality of the modulus and the co-effi- 
cients /Aj , . . . fx h in the first and second ensembles. It depends 
only on the fact that the two original ensembles were separ- 
ately in statistical equilibrium, and that there is no interaction 
between them, the combining of the two ensembles to form a 
third being purely nominal, and involving no physical connec- 
tion. This independence of the systems, determined physically 
by forces which prevent particles from passing from one sys- 
tem to the other, or coming within range of each other's action, 
is represented mathematically by infinite values of the energy 
for particles in a space dividing the systems. Such a space 
may be called a diaphragm. 

If we now suppose that, when we combine the systems of 
the two original ensembles, the forces are so modified that the 
energy is nc longer infinite for particles in all the space form- 
ing the diaphragm, but is diminished in a part of this space, 
so that it is possible for particles to pass from one system 
to the other, this will involve a change in the function e ;// 
which represents the energy of the combined systems, and the 
equation e" f e f + e ff will no longer hold. Now if the co- 
efficient of probability in the third ensemble were represented 
by (513) with this new function e ;// , we should have statistical 
equilibrium, with respect to generic phases, although not to 
specific. But this need involve only a trifling change in the 
distribution of the third ensemble,* a change represented by 
the addition of comparatively few systems in which the trans- 
ference of particles is taking place to the immense number 

* It will be observed that, so far as the distribution is concerned, very 
large and infinite values of e (for certain phases) amount to nearly the same 
thing, one representing the total and the other the nearly total exclusion 
of the phases in question. An infinite change, therefore, in the value of e 
(for certain phases) may represent a vanishing change in the distribution. 



SYSTEMS COMPOSED OF MOLECULES. 197 

obtained by combining the two original ensembles. The 
difference between the ensemble which would be in statistical 
equilibrium, and that obtained by combining the two original 
ensembles may be diminished without limit, while it is still 
possible for particles to pass from one system to another. In - 
this sense we may say that the ensemble formed by combining 
the two given ensembles may still be regarded as in a state of 
(approximate) statistical equilibrium with respect to generic 
phases, when it has been made possible for particles to pass 
between the systems combined, and when statistical equilibrium 
for specific phases has therefore entirely ceased to exist, and 
when the equilibrium for generic phases would also have 
entirely ceased to exist, if the given ensembles had not been 
canonically distributed, with respect to generic phases, with 
the same values of @ and fi v . . . p h . 

It is evident also that considerations of this kind will apply j 
separately to the several kinds of particles. We may diminish ' 
the energy in the space forming the diaphragm for one kind of 
particle and not for another. This is the mathematical ex- 
pression for a " semipermeable" diaphragm. The condition 
necessary for statistical equilibrium where the diaphragm is 
permeable only to particles to which the suffix ( ) x relates 
will be fulfilled when /^ and have the same values in the 
two ensembles, although the other coefficients /* 2 , etc., may be 
different. 

This important property of grand ensembles with canonical 
distribution will supply the motive for a more particular ex- 
amination of the nature of such ensembles, and especially of 
the comparative numbers of systems in the several petit en- 
sembles which make up a grand ensemble, and of the average 
values in the grand ensemble of some of the most important 
quantities, and of the average squares of the deviations from 
these average values. 

The probability that a system taken at random from a 
grand ensemble canonically distributed will have exactly 
i/j, . . . v h particles of the various kinds is expressed by the 
multiple integral 



198 SYSTEMS COMPOSED OF MOLECULES. 






phases 



or . (517) 

[vi . . . [1/5 

This may be called the probability of the petit ensemble 
0>i, ... v h ). The sum of all such probabilities is evidently 
unity. That is, 



(518) 



which agrees with (506). 

The average value in the grand ensemble of any quantity 
u, is given by the formula 






phases 

If w is a function of i/ x , . . . i/ A alone, i. e., if it has the same 
value in all systems of any same petit ensemble, the formula 
reduces to 



8 ue 

= X "' 



Again, if we write ^ gr and an( i w] petit to distinguish averages in 
the grand and petit ensembles, we shall have 



In this chapter, in which we are treating of grand en- 
sembles, u will always denote the average for a grand en- 
semble. In the preceding chapters, u has always denoted 
the average for a petit ensemble. 



SYSTEMS COMPOSED OF MOLECULES. 199 

Equation (505), which we repeat in a slightly different 
form, viz., 



phases 



shows that O is a function of and p v . . . fj, h ; also of the 
external coordinates 1? a 2 , etc., which are involved implicitly 
in e. If we differentiate the equation regarding all these 
quantities as variable, we have 



la 

phases 



phases 

+ etc. 



all 

de e 



phases 

- etc. (523) 

5 

If we multiply this equation by e 9 , and set as usual A v A v 
etc., for de/da^ delda^, etc., we get in virtue of the law 
expressed by equation (519), 

dto O _ d - 



200 SYSTEMS COMPOSED OF MOLECULES. 

that is, 

da = O + PI* ft*-? ^ _ a - fa _ s 2i dai (525) 

Since equation (503) gives 



the preceding equation may be written 

dQ, ILd 2 vid/xi 2 2 l da lt (527) 
Again, equation (526) gives 

c?Q + Sjiie^i + S vi cZ/*! de = dH + Hc2. (528) 
Eliminating <#fl from these equations, we get 

de = rfH + 2/x^i - S^j rfoj. (529) 

If we set * = e + H, (530) 

d* = de + dH + H d, (531) 

we have d* = H d + 2 ^ d^ - S -^ e?^. (532) 

The corresponding thermodynamic equations are 

de = Tdy + 5 ^dmi S -4i ^ , (533) 

(534) 

/xi cZm! SA <?% . (535) 



These are derived from the thermodynamic equations (114) 
and (11 7) by the addition of the terms necessary to take ac- 
count of variation in the quantities (m v m v etc.) of the 
several substances of which a body is composed. The cor- 
respondence of the equations is most perfect when the com- 
ponent substances are measured in such units that m v m 2 , 
etc., are proportional to the numbers of the different kinds 
of molecules or atoms. The quantities p v p 2 , etc., in these 
thermodynamic equations may be defined as differential coeffi- 
cients by either of the equations in which they occur.* 

* Compare Transactions Connecticut Academy, Vol. Ill, pages 116 ff. 



SYSTEMS COMPOSED OF MOLECULES. 201 

If we compare the statistical equations (529) and (532) 
with (114) and (112), which are given in Chapter IV, and 
discussed in Chapter XIV, as analogues of thermody- 
namic equations, we find considerable difference. Beside the 
terms corresponding to the additional terms in the thermo- 
dynamic equations of this chapter, and beside the fact that 
the averages are taken in a grand ensemble in one case 
and in a petit in the other, the analogues of entropy, H 
and ?/, are quite different in definition and value. We shall 
return to this point after we have determined the order 
of magnitude of the usual anomalies of v v ... v h . 

If we differentiate equation (518) with respect to /ii, and 
multiply by <H), we get 



"0* h b. " = 0? (536) 

whence dtl/d^ = v v which agrees with (527). Differen- 
tiating again with respect to t a v and to /* 2 , and setting 

we get 

- _, _ to. . ^ rf^% 



| vi 



= 0) (537) 



The first members of these equations represent the average 
values of the quantities in the principal parentheses. We 
have therefore 



, = ^ , (539) 

= ^r = lr- ( 54 ) 



202 SYSTEMS COMPOSED OF MOLECULES. 

From equation (539) we may get an idea of the order of 
magnitude of the divergences of v l from its average value 
in the ensemble, when that average value is great. The 
equation may be written 






(541) 



The second member of this equation will in general be small 
when j/j is great. Large values are not necessarily excluded, 
but they must be confined within very small limits with re- 
spect to /JL. For if 



(542) 



for all values of ^i between the limits /*/ and /-tj", we shall 
have between the same limits 

dvi > cZ/xi , (543) 

and therefore 

/I 1 \ 

> m" - Hi'- (544) 



The difference /*/' ^ is therefore numerically a very small 
quantity. To form an idea of the importance of such a 
difference, we should observe that in formula (498) ^ is 
multiplied by v 1 and the product subtracted from the energy. 
A very small difference in the value of /^ may therefore be im- 
portant. But since v <B) is always less than the kinetic energy 
of the system, our formula shows that ^' //,/, even when 
multiplied by vj or i^", may still be regarded as an insensible 
quantity. 

We can now perceive the leading characteristics with re- 
spect to properties sensible to human faculties of such an en- 
semble as we are considering (a grand ensemble canonically 
distributed), when the average numbers of particles of the vari- 
ous kinds are of the same order of magnitude as the number 
of molecules in the bodies which are the subject of physical 



SYSTEMS COMPOSED OF MOLECULES. 203 

experiment. Although the ensemble contains systems having 
the widest possible variations in respect to the numbers of 
the particles which they contain, these variations are practi- 
cally contained within such narrow limits as to be insensible, 
except for particular values of the constants of the ensemble. 
This exception corresponds precisely to the case of nature, 
when certain therm odynamic quantities corresponding to , 
/ii, /A 2 , etc., which in general determine the separate densities 
of various components of a body, have certain values which 
make these densities indeterminate, in other words, when the 
conditions are such as determine coexistent phases of matter. 
Except in the case of these particular values, the grand en- 
semble would not differ to human faculties of perception from 
a petit ensemble, viz., any one of the petit ensembles which it 
contains in which j^, j/ 2 , etc., do not sensibly differ from their 
average values. 

Let us now compare the quantities H and 77, the average 
values of which (in a grand and a petit ensemble respectively) 
we have seen to correspond to entropy. Since 

__ 



, \b 

and *= 



(545) 



A part of this difference is due to the fact that H relates to 
generic phases and 77 to specific. If we write ?7 gen for the 
index of probability for generic phases in a petit ensemble, 
we have 

^gen = ?! + ^g [Vl . . . [vfc , (546) 

H - r, = H - ^ + log |vi . . . [v , (547) 

.!^ (548) 



This is the logarithm of the probability of the petit en- 
semble (v l . . . v h )* If we set 

* See formula (517). 



204 SYSTEMS COMPOSED OF MOLECULES. 

-^ = >7gen> (549) 

which corresponds to the equation 



we have i/^ = $ + log [v, 

and H-^^ n + ^ yi -- @ + . (551) 

This will have a maximum when * 



Distinguishing values corresponding to this maximum by 
accents, we have approximately, when v l , . . . v h are of the 
same order of magnitude as the numbers of molecules in ordi- 
nary bodies, 

Q + /*iVi . . + ^ftVft Igen 

- -- 







2 \d vi d v 

(553) 



2 Vc?!'!^/ \</ 20 

'(554) 
where (7 = Q + ^^" ^+ W " ^ (555) 

and A 1/1 = vi v/, A 1/2 = v 2 v 2 ', etc. (556) 

This is the probability of the system (^ . . . v h ). The prob- 
abilty that the values of v 1 , . . . v h lie within given limits is 
given by the multiple integral 

* Strictly speaking, rj/ gen is not determined as function of v 1} . . . v h , except 
for integral values of these variables. Yet we may suppose it to be deter- 
mined as a continuous function by any suitable process of interpolation. 



SYSTEMS COMPOSED OF MOLECULES. 



205 



20 dvi ...dv h . 
(557) 

Tliis shows that the distribution of the grand ensemble with 
respect to the values of v v . . . v h follows the " law of errors " 
when i/j', . . . v h ' are very great. The value of this integral 
for the limits oo should be unity. This gives 



or 



6 cMI = i, 

ilogi>-|log(2 ff ), 



where D = 



V 



/ dVn.V 
Wviflfow 



that is, D = 



(558) 



(559) 



'(560) 



(561) 



Now, by (553), we have for the first approximation 

H - ^ gen = C = 1 log D - | log (2ir0), (562) 

and if we divide by the constant JT,* to reduce these quanti- 
ties to the usual unit of entropy, 

H - ^gen = ^g J> ~ h log (27T@) 

.ST 2 JL 

* See page 184-186. 



206 SYSTEMS COMPOSED OF MOLECULES. 

This is evidently a negligible quantity, since K is of the same 
order of magnitude as the number of molecules in ordinary 
bodies. It is to be observed that ?7 gen is here the average in 
the grand ensemble, whereas the quantity which we wish to 
compare with H is the average in a petit ensemble. But as we 
have seen that in the case considered the grand ensemble would 
appear to human observation as a petit ensemble, this dis- 
tinction may be neglected. 

The differences therefore, in the case considered, between the 
quantities which may be represented by the notations * 

H * en [grand ^* en (grand ' ^^ Ipetit 

are not sensible to human faculties. The difference 



and is therefore constant, so long as the numbers z> 1? . . . v h 
are constant. For constant values of these numbers, therefore, 
it is immaterial whether we use the average of rj gen or of 77 for 
entropy, since this only affects the arbitrary constant of in- 
tegration which is added to entropy. But when the numbers 
v v . . . v h are varied, it is no longer possible to use the index 
for specific phases. For the principle that the entropy of any 
body has an arbitrary additive constant is subject to limi- 
tation, when different quantities of the same substance are 
concerned. In this case, the constant being determined for 
one quantity of a substance, is thereby determined for all 
quantities of the same substance. 

To fix our ideas, let us suppose that we have two identical 
fluid masses in contiguous chambers. The entropy of the 
whole is equal to the sum of the entropies of the parts, and 
double that of one part. Suppose a valve is now opened, 
making a communication between the chambers. We do not 
regard this as making any change in the entropy, although 
the masses of gas or liquid diffuse into one another, and al- 
though the same process of diffusion would increase the 

* In this paragraph, for greater distinctness, H gen | grand and %p^l petit have 
been written for the quantities which elsewhere are denoted by H and rf. 



SYSTEMS COMPOSED OF MOLECULES. 207 

entropy, if the masses of fluid were different. It is evident, 
therefore, that it is equilibrium with respect to generic phases, 
and not with respect to specific, with which we have to do in 
the evaluation of entropy, and therefore, that we must use 
the average of H or of 7; gen , and not that of 77, as the equiva- 
lent of entropy, except in the thermodynamics of bodies in 
which the number of molecules of the various kinds is 
constant. 




RETURN TO the circulation desk of any 
University of California Library 

or to the 

NORTHERN REGIONAL LIBRARY FACILITY 
Bldg. 400, Richmond Field Station 
University of California 
Richmond, CA 94804-4698 

ALL BOOKS MAY BE RECALLED AFTER 7 DAYS 

2-month loans may be renewed by calling 
(510)642-6753 

1-year loans may be recharged by bringing 
books to NRLF 

Renewals and recharges may be made 
4 days prior to due date 

DUE AS STAMPED BELOW 

APR 2 1 2005 

2 6 2005 



DD20 6M 9-03 



General Library . 
University of Calif ormz 
Berkeley 



VC 11402 



* a 



UNIVERSITY OF CALIFORNIA UBRARY 









. 

,v\ v <