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Subsections


Canonical Ensemble

Gibbs formula

Let us take a part of Microcanonical Ensemble M. This part is described by canonical ensemble , if the size of the rest (thermal bath ) tends to infinity.
\begin{figure*}
 \InputIfFileExists{canonical.pstex_t}{}{}\end{figure*}
What is the probability for A to be in the microscopical state i with energy EA=Ei?

We want to use thermodynamic limit: $W_B\to\infty$, $E_0\to\infty$. We hope that the answer does not depend on the nature of the thermal bath.
Naïve approach:
Let us expand WB:

\begin{displaymath}
W_B(E_0-E_i)\approx W_B(E_0) - \frac{\partial W_B}{\partial E_0} E_i
 \end{displaymath}

Why it does not work:
Taylor expansion works only if the next term is smaller than the previous.

\begin{displaymath}
W_B = e^{S_B(E)/k}, \quad
 \frac{\partial W_B}{\partial E_0} =
 e^{S_B(E)/k}\frac{1}{k}\frac{\partial S_B}{\partial E_0} 
 \end{displaymath}

We need  
 \begin{displaymath}
 \frac{1}{k}\frac{\partial S_B}{\partial E_0}E_i \ll 1
 \end{displaymath} (2)
But SB and E0 are extensive variables. The derivative is intensive and does not blow up. We are not guaranteed that (2) works![*]

A better way:
Let us expand SB(E) instead:

\begin{displaymath}
S_B(E_0-E_i) = S_B(E_0) - \frac{\partial S_B}{\partial E_0} ...
 ... \frac12
 \frac{\partial^2 S_B}{\partial E_0^2} E_i^2 + \dots
 \end{displaymath}

Thermodynamic limit ($V\to\infty$)

\begin{displaymath}
\begin{aligned}
 S_B(E_0) &\sim V\\  \frac{\partial S_B}{\pa...
 ...artial^2 S_B}{\partial E_0^2} &\sim \frac{1}{V}
 \end{aligned} \end{displaymath}

Large term SB(E0) is canceled by denominator in (1). We are left with the second term.

Answer:
For the canonical ensemble  
 \begin{displaymath}
 \begin{gathered}
 \Prob(A_i) = \frac{1}{Q}\exp(-E_i/kT)\\  Q = \sum_i \exp(-E_i/kT)
 \end{gathered} \end{displaymath} (3)
This is Gibbs formula .
In microcanonical ensemble all states are equal. In canonical ensemble states with lower energy are more equal than others[*]!

Dependence on the thermal bath: only through T. All thermal baths with the same T are equivalent.

Averaging

\begin{displaymath}
\left\langle f \right\rangle = \frac{1}{Q}\sum_i f_i \exp(-E_i/kT)\end{displaymath}

Particular case:

\begin{displaymath}
E=\left\langle E \right\rangle = \frac{1}{Q}\sum_i E_i \exp(-E_i/kT)\end{displaymath}


next up previous
Next: Statistical Mechanics and Thermodynamics Up: Probabilities of Macroscopic States. Previous: Entropy and Probabilities

© 1997 Boris Veytsman and Michael Kotelyanskii
Thu Sep 4 21:28:23 EDT 1997