Is the Canonical Ensemble Rule Derived Ad Hoc in Statistical Mechanics?

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Discussion Overview

The discussion revolves around the derivation and justification of the Canonical Ensemble rule in Statistical Mechanics, specifically questioning whether it is derived ad hoc. Participants explore the foundations of the rule, its implications, and the assumptions underlying the maximum entropy principle.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant questions the origin of the Canonical Ensemble rule, suggesting it appears to be inserted ad hoc in educational resources.
  • Another participant proposes that the rule can be justified through the maximum entropy principle, where the distribution that maximizes entropy leads to the Boltzmann distribution.
  • A different viewpoint emphasizes that the assumption of equal likelihood for all microstates is fundamental to the maximum entropy approach, which may conflict with quantum mechanics perspectives.
  • One participant presents a scenario involving equilibrium and the distribution of microstates, attempting to illustrate the application of the Canonical Ensemble rule with specific energy states and probabilities.

Areas of Agreement / Disagreement

Participants express differing views on the justification of the Canonical Ensemble rule, with no consensus reached on whether it is derived ad hoc or if the maximum entropy principle provides a sufficient foundation.

Contextual Notes

Participants discuss the implications of the assumption that all microstates are equally likely and its relevance in the context of quantum mechanics, indicating potential limitations in the applicability of the Canonical Ensemble rule.

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In Statistical Mechanics, the key step in the derivation of the Canonical Ensemble is that the probability of S being in the m-th state, P_m , is proportional to the corresponding number of microstates available to the reservoir when S is in the m-th state. That is

[itex]P_m=c\Omega(E_0-E_m)[/itex],

where E_0 is the total energy.

Where does this rule come from? It seems to be inserted ad hoc in my textbook, and even in Wikipedia.
 
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One justification for this comes from the idea of maximum entropy. Given a system about which you have limited knowledge, say only the total energy E, you can ask what probabilities you should assign to various microstates. The distribution [itex]p(n)[/itex] (n labels microstates at energy E) which maximizes the entropy [itex]S = - \sum_n p(n) \log{p(n)}[/itex] is the flat distribution [itex]p = 1/N(E)[/itex] which gives an entropy of [itex]\log{N(E)}[/itex]. N(E) is the total number of states at energy E.

A similar calculations gives the Boltzmann distribution with temperature T interpreted as a Lagrange multiplier that enforces the constraint that the average energy be E.
 
To me the rule of maximum entropy arises from the assumption that all microstates are equally likely and not the other way around.

The idea is simply that ALL microstates are equally likely. This is a key assumption of statistical mechanics, which sounds wrong when you consider QM etc., but actually turns out to give surprisingly good answers in the correct thermodynamic limit. Thus, the probability of S in the m-th state is then the total number of microstates that correspond to S in the m-th state divided by the total number of microstates there are total (which is just a constant, if we keep the energy of the whole system constant).

The number of microstates with S in the m-th state is simply equal to what you stated above as "the corresponding number of microstates available to the reservoir when S is in the m-th state". This is obvious because there is exactly 1 state that the sub-system S is in.
 
Think I've got it.

When the system is in equilibrium, T_R=T_S, S is maximized and all microstates are equally probable. Then, for instance:

Total number of microstates=100
E1'+E1=E0
E2'+E2=E0
E3'+E3=E0

Code:
    R   |    S
------+-------
E1' 18 |
E2' 27 |
E3' 45 |
         |
         .
         .
         |
         | E3 5
         | E2 3
         | E1 2
--------------
     90 |     10
finally, c=1/90

Is it correct?
 
Last edited:

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