Why Is Mixing Entropy of an Ideal Mixture Given by a Binomial Coefficient?

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SUMMARY

The mixing entropy for an ideal mixture is defined by the equation ΔSmixing = k ln(Binomial Coefficient(N, NA)), where N represents the total number of molecules and NA denotes the number of molecules of type A. This relationship can be derived using Stirling's Approximation, which states that N! ≈ NNe-N√(2∏N). The discussion emphasizes that the mixing entropy aligns with the previous solution of ΔSmixing = -Nk[x ln(x) + (1-x) ln(1-x)] when both N and NA are large, confirming the validity of the binomial coefficient in this context.

PREREQUISITES
  • Understanding of mixing entropy in thermodynamics
  • Familiarity with binomial coefficients and their applications
  • Knowledge of Stirling's Approximation
  • Basic principles of statistical mechanics
NEXT STEPS
  • Study the derivation of mixing entropy in ideal mixtures
  • Explore Stirling's Approximation in greater detail
  • Learn about the implications of binomial coefficients in statistical mechanics
  • Investigate the relationship between entropy and molecular distribution
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This discussion is beneficial for students and professionals in thermodynamics, particularly those studying statistical mechanics, as well as educators seeking to explain the concept of mixing entropy and its mathematical foundations.

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Homework Statement



Explain why, for an ideal mixture, the mixing entropy is given by
ΔSmixing = k ln( Binomial Coefficient ( N, NA )
where N is the total number of molecules and NA is the number of molecules of type A. Use Stirling's Approximation to show that this expression is the same as the result from the previous problem when both N and NA are large.

Homework Equations



ΔS = Nk ln(Vf/Vi)
Previous Solution: ΔSmixing = -Nk[ x ln (x) + (1-x) ln (1-x) ]
Stirling Approx: N! ≈ NNe-N√(2∏N)

The Attempt at a Solution


I originally thought it might mean mathematically derive, but it looks like that is more related to the second part of the problem. I have no idea how to get from the equations they give me to the binomial coefficient part of the solution. I believe I can do the second part if someone can provide some assistance to the explanation.
 
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for the first part, yes, I think you are just meant to explain. (not do anything mathematical). So, you've used the equation S = k ln(something) before, I'm guessing. What is that 'something' ? and why does it make sense that in this case, that 'something' is Binomial coefficient (N,NA) ?
 

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