Statistical Mechanics - Change in Entropy

AI Thread Summary
The discussion revolves around calculating the change in entropy for a system of N distinguishable particles with two energy states when populations shift due to a quantum process. The initial and final states' configurations are analyzed using Boltzmann's entropy formula and Stirling's approximation. The change in entropy for the two-level system is derived as ΔS_{2LS} = k_{B} ln(n_{1}/n_{2}). Participants emphasize the potential for simplification without relying heavily on Stirling's approximation. The conversation highlights the importance of understanding entropy changes in thermodynamic processes.
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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.
 
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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.
 
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Thanks a bunch TSny!
 
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