CHAPTER X.
ON A DISTRIBUTION IN PHASE CALLED MICROCANONICAL 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 density-in-phase between two limiting values of the energy, and , 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 and , 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 and , and zero outside of those limits. Thus, the limiting distribution 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 is infinite, 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 is infinite as affording true examples of the microcanonical 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 instead of , 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 microcanonical 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
In a microcanonical ensemble of systems the energy () is constant, but the kinetic energy () and the potential energy () vary in the different systems, subject of course to the condition
(373) |
We shall use the notation to denote an average value in a microcanonical ensemble of energy . An average value in a canonical ensemble of modulus , which has hitherto been denoted by , 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 and may be expressed in the notations of the preceding chapter by the double integral
(374) |
We shall assume that has a finite value. If , it is evident from equation (305) that is an increasing function of , and therefore cannot be infinite for one value of without being infinite for all greater values of , which would make infinite.[1] When , therefore, if we assume that is finite, we only exclude such cases as we found necessary to exclude in the study of the canonical distribution. But when , cases may occur in which the canonical distribution is perfectly applicable, but in which the formulae for the microcanonical distribution become illusory, for particular values of , on account of the infinite value of . Such failing cases of the microcanonical distribution for particular values of the energy will not prevent us from regarding the canonical ensemble as consisting of an infinity of microcanonical ensembles.[2]
From the last equation, with (298), we get
(375) |
(376) |
(377) |
Again, with the aid of equation (301), we get
(378) |
(379) |
These results are interesting on account of the relations of the functions and to the notion of temperature in thermodynamics,—a subject to which we shall return hereafter. They are particular cases of a general relation easily deduced from equations (306), (374), (288) and (289). We have
(380) |
(381) |
Since any canonical ensemble of systems may be regarded as composed of microcanonical ensembles, if any quantities and 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 is a constant value in a microcanonical ensemble, and therefore identical with its average value. We get thus the general equation
(382) |
(383) |
(384) |
The last two equations give for a canonical ensemble, if ,
(385) |
(386) |
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.[4] We shall distinguish quantities relating 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
(387) |
(388) |
(389) |
(390) |
(391) |
(392) |
(393) |
(394) |
(395) |
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 , , and , and the kinetic energies of the parts by , and . These kinetic energies are necessarily separate: we need not make any supposition concerning potential energies. The extension-in-phase within any limits which can be expressed in terms of , , may be represented in the notations of Chapter VIII by the triple integral
(396) |
(397) |
(398) |
(399) |
Again, if ,
(400) |
(401) |
(402) |
We cannot apply the methods employed in the preceding pages to the microcanonical averages of the (generalized) forces , , 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.
Let us imagine an ensemble of systems distributed in phase according to the index of probability
(403) |
(404) |
(405) |
(406) |
(407) |
(408) |
We have therefore from these equations
(409) |
(410) |
(411) |
(412) |
(413) |
(414) |
(415) |
(416) |
(417) |
(418) |
The two last equations might be written more simply
- ↑ See equation (322).
- ↑ 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 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?
- ↑ See equation (292).
- ↑ If this condition is rigorously fulfilled, the parts will have no influence on each other, and the ensemble formed by distributing the whole microcanonically is too arbitrary a conception to have a real interest. The principal 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 considered in connection with canonical ensembles.
- ↑ 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.
- ↑ In the applications of the equation (387), we cannot obtain all the results corresponding to those which we have obtained from equation (374), because is a known function of , while must be treated as an arbitrary function of , or nearly so.
- ↑ See Chapter VIII, equations (306) and (316).
- ↑ This statement, as mentioned before, may have exceptions for particular values of the external coördinates. This will not invalidate the reasoning, which has to do with varying values of the external coördinates.
- ↑ See Chapter IX, page 111; also this chapter, page 119.