How to derive this thermodynamic math identity

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SUMMARY

The discussion focuses on deriving a thermodynamic identity using Legendre transforms, specifically the relationships between energy, chemical potential, and particle number. The key equations derived include the mixed partial derivatives of energy with respect to particle number and chemical potential. The participants confirm the relevance of Maxwell relations and clarify the application of the chain rule in differentiating energy functions. Ultimately, they establish a connection between the derived equations and the x,y,z relation, confirming its validity.

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  • Understanding of Legendre transforms in thermodynamics
  • Familiarity with partial derivatives and mixed partials
  • Knowledge of Maxwell relations in thermodynamics
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Hiero
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Homework Statement
See image below
Relevant Equations
##dS = \beta(dE - \mu dn +PdV)##

##\frac{\partial x}{\partial y}\Big \rvert _z = - \frac{\partial x}{\partial z}\Big \rvert _y \frac{\partial z}{\partial y}\Big \rvert _x##
(Maybe relevant maybe not.)
499CE834-E709-4E0B-9BC8-C04EA06FE17A.jpeg


So the Legendre transforms are straightforward; define ##S_1=S-\beta E## and ##S_2= S-\beta E + \beta \mu n## then we get:

##dS_1 = -Ed\beta - \beta \mu dn + \beta PdV##
##dS_2 = -Ed\beta + nd(\beta \mu) + \beta PdV##

And so by applying the equality of mixed partials of ##S_1## and ##S_2## we can conclude (similar to the Maxwell relations)

##\frac{\partial E}{\partial n }\Big \rvert _{\beta , V}=\frac{\partial (\beta \mu)}{\partial \beta }\Big \rvert _{n , V}##

##\frac{\partial E}{\partial (\beta \mu)}\Big \rvert _{\beta , V}=-\frac{\partial n}{\partial \beta }\Big \rvert _{\beta \mu , V}##

I feel like these must be relevant because why else would he mention those Legendre transforms in the same problem. However I cannot figure out how to derive the given formula. I tried a lot of things (no point in typing them) that didn’t lead to it. I mention the “maybe relevant” equation because it was used in the same chapter.

Thought about it for more than a day with no new ideas. Thanks in advance.
 
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This is a long one, with all of the partials, and would take all day to write out in Latex, but I think I verified it to be correct. Let me summarize: Take ## E_1(\beta,V, \beta \mu )=E_2(\beta,V, n) ##. The problem is to take ## \frac{\partial{E_1}}{\partial{\beta}}_{V,\beta \mu} ## and you do it on ## E_2 ##. You write ##n=n(\beta,V, \beta \mu) ##. It helps to write differentials ## dE=dE1=dE_2 ## and write out all of the terms. You also write a differential for ## dn ##, and it gets a term with ## d (\beta \mu ) ##. You then write ## \beta \mu=\beta \mu (\beta, V,n) ##, and write out the differential for ## d (\beta \mu) ##. You have two degrees of freedom, so let ## dV=dn=0 ##. This gives ##(\frac{\partial{n}}{\partial{\beta}})_{V, \beta \mu}=-(\frac{\partial{n}}{\partial{\beta \mu}})_{\beta,V} ( \frac{\partial{\beta \mu}}{\partial{\beta}})_{V,n} ##.
 
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To add to the above ## dE=(\frac{\partial{E_1}}{\partial{\beta}}) d \beta +(...) dV+(...) d (\beta \mu)=(\frac{\partial{E_2}}{\partial{\beta}}) d \beta + (...)dV+(\frac{\partial{E_2}}{\partial{n}})_{\beta,V} dn ##, where ## dn=(...)d \beta+(...)dV+(...)d (\beta \mu) ##. for this part, you let ## dV=d(\beta \mu)=0 ##, and take the partial on ## \beta ##.
 
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Note that post 3 refers to the first step. Once you have that, you need what I think is a Maxwell type relation with the partials of ## dn ## (described in post 2 at the bottom) to get the final result.
Edit:The equation that you posted with the x,y, and z is this same expression. (The ## V ## as a 4th variable is irrelevant).
 
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@Charles Link

You said a couple things I didn’t follow, like how you mentioned to take ##\beta \mu## to be a function of ##(\beta, \mu, n)##, and how you said something was equivalent to my x,y,z formula.

But what I mainly gathered is that you took ##E_1(\beta, V, \beta \mu) = E_2(\beta, V, n(\beta, V, \beta \mu))## and then differentiated w.r.t beta (effectively using the chain rule) to conclude:

##\frac{\partial E_1}{\partial \beta }\Big \rvert _{\beta \mu , V} = \frac{\partial E_2}{\partial \beta }\Big \rvert _{n, V}+\frac{\partial E_2}{\partial n }\Big \rvert _{\beta, V}\frac{\partial n}{\partial \beta }\Big \rvert _{\beta \mu, V}##

That’s a great starting point, but the main thing I didn’t understand is how did you conclude the following:
Charles Link said:
This gives ##(\frac{\partial{n}}{\partial{\beta}})_{V, \beta \mu}=-(\frac{\partial{n}}{\partial{\beta \mu}})_{\beta,V} ( \frac{\partial{\beta \mu}}{\partial{\beta}})_{V,n} ##.

In my OP I found a different Maxwell type relation for that same term, if we move the negative to the other side:
Hiero said:
##\frac{\partial E}{\partial (\beta \mu)}\Big \rvert _{\beta , V}=-\frac{\partial n}{\partial \beta }\Big \rvert _{\beta \mu , V}##

Your relation does yield the answer (if we drop the subscripts from E) but I didn’t follow how you found it.
[Edit: nevermind; see next post]

Its strange; all the other problems in this chapter were pretty trivial.

And I completely understand about all the Latex haha, I’m on mobile so copy+paste is a life saver o_O

Thanks for taking the time to tackle this problem with me!
 
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Charles Link said:
Edit:The equation that you posted with the x,y, and z is this same expression. (The ## V ## as a 4th variable is irrelevant).
Oh wow I just realized what you meant! It’s not a Maxwell relation it’s the x,y,z relation! Wow. So it was relevant after all hahah.

Well then I guess that solves it! Thanks so much!
 
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