Statistical Mechanics - Change in Entropy

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SUMMARY

The discussion focuses on calculating the change in entropy for a system of N distinguishable particles with two energy states, \(\epsilon_{1}\) and \(\epsilon_{2}\). Participants derive the change in entropy for both the two-level system and the heat bath using Boltzmann's Hypothesis and Stirling's approximation. The final expression for the change in entropy is given as \(\Delta S_{2LS}=k_{B}\, ln(n_{1}/n_{2})\). The conversation emphasizes the importance of simplification techniques in statistical mechanics calculations.

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  • Understanding of Boltzmann's Hypothesis and entropy calculation
  • Familiarity with Stirling's approximation for large factorials
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NewtonApple
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Homework Statement



A system of N distinguishable particles is arranged such that each particle can exist in one of the two states: one has energy \epsilon_{1}, the other has energy \epsilon_{2}. The populations of these states are n_{1} and n_{2} respectively, (N = n_{1}+n_{2}). The system is placed in contact with a heat bath at temperature T. A simple quantum process occurs in which the populations change: n_{2}\rightarrow n_{2} - 1 and n_{1}\rightarrow n_{1} + 1 with the energy released going into the heat bath.

(a) Calculate the change in the entropy of the two level system.
(b) Calculate the change in the entropy of the heat bath.
(c) If the process is reversible, what is the ratio of n_{2} to n_{1}?

Homework Equations



Boltzmann's Hypothesis - Entropy (S) is S=k_{B}ln(W)

Stirling's approximation for large factorials ln N! = N\,ln\,N - N

The Attempt at a Solution



The number of ways for initial state

W_{i}=\frac{N!}{n_{1}!\, n_{2}!}​

The number of ways for final state

W_{f}=\frac{N!}{({n_{2}-1)!\, (n_{1}+1)!}}​

Using S=k_{B}ln(W) Change in Entropy is

\Delta S_{2LS} = S_{f}-S_{i} = k_{B}\Big [ln W_{f} - ln W_{i}\Big ] = k_{B}\Big [\frac {ln W_{f}}{ln W_{i}}\Big ]​

Substituting values from above and simplifying

\Delta S_{2LS} = S_{f}-S_{i} =k_{B} ln \Big[\frac{n_{1}!\, n_{2}!} {(n_{2}-1)!\, (n_{1}+1)!} \Big ]​
Using Stirling's approximation ln N! = N\,ln\,N - N


\Delta S_{2LS}=k_{B} \Big[ \frac{ \big(n_{1}\, ln(n_{1})-n_{1}))(n_{2}\, ln(n_{2})-n_{2})\big)}{ \big( (n_{2}-1)ln(n_{2}-1)-(n_{2}-1)\big ) \big((n_{1}+1)ln(n_{1}+1)-(n_{1}+1)\big) } \Big]​

and simplifying


\Delta S_{2LS}=k_{B} [n_{1} \, ln(n_1) + n_{2} \, ln(n_2) - (n_{2}-1) \, ln(n_{2}-1) - (n_{1}+1) \, ln(n_{1} + 1)]​
.
.
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Suppose to get following Solution

\Delta S_{2LS}=k_{B}\, ln(n_{1}/n_{2})​

No idea how to get it used all simplification techniques. Please give me some hints.
 
Last edited:
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Hello, NewtonApple and welcome to PF!

NewtonApple said:
\Delta S_{2LS} = S_{f}-S_{i} =k_{B} ln \Big[\frac{n_{1}!\, n_{2}!} {(n_{2}-1)!\, (n_{1}+1)!} \Big ]

You should be able to greatly simplify this without resorting to Stirling.
 
Last edited:
Thanks a bunch TSny!
 

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