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

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The mixing entropy for an ideal mixture is expressed as 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. This formulation arises from statistical mechanics, where the binomial coefficient represents the number of ways to arrange the molecules of different types. Using Stirling's approximation, the relationship can be shown to align with previous entropy results when both N and NA are large. The discussion emphasizes the need to understand the connection between entropy and the combinatorial nature of molecular arrangements. Ultimately, the binomial coefficient effectively quantifies the multiplicity of configurations contributing to the system's entropy.
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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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