Partial derivatives (Maxwell relations) in thermodynamics

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Discussion Overview

The discussion revolves around the application of partial derivatives in thermodynamics, specifically focusing on the derivation and implications of Maxwell relations. Participants are trying to understand the transition from one equation involving entropy (S) as a function of pressure (P) and temperature (T) to another that includes the partial derivative of S with respect to temperature at constant volume (V).

Discussion Character

  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • Some participants express confusion over the derivation from the equation dS = (∂S/∂P)_T dP + (∂S/∂T)_P dT to the equation (∂S/∂T)_V = (∂S/∂P)_T (∂P/∂T)_V + (∂S/∂T)_P.
  • One participant suggests that the second equation is a straightforward application of the chain rule to S(P,T), but others question how this can involve the variable V.
  • It is noted that both T and P may depend on V, which leads to the interpretation of (∂S/∂T)_V as the partial derivative of S with respect to T at constant V.
  • Another participant emphasizes the importance of recognizing that when calculating partial derivatives, one must hold at least one variable constant, which can lead to confusion in the context of multiple variables.
  • There is a suggestion that physicists often conflate variables with functions, leading to sloppiness in applying the chain rule, and a more rigorous approach is proposed involving the gas law and entropy as a function of multiple variables.
  • One participant raises the possibility that Maxwell relations might be relevant to the discussion, indicating that there are various methods to derive similar relations.

Areas of Agreement / Disagreement

Participants generally express confusion and seek clarification on the derivation process, indicating that multiple competing views and interpretations exist regarding the application of the chain rule and the role of different variables in the equations. The discussion remains unresolved with no consensus on the clarity of the derivation.

Contextual Notes

Participants highlight the potential for confusion arising from the relationships between variables and functions, as well as the implications of holding variables constant during differentiation. There is also mention of the need for a more thorough derivation process to avoid oversimplification.

AxiomOfChoice
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My professor did this in lecture, and I can't figure out his logic. Can someone fill in the gaps?

He went from:

<br /> dS = \left( \frac{\partial S}{\partial P} \right)_T dP + \left( \frac{\partial S}{\partial T} \right)_P dT<br />

(which I totally understand; it just follows from the fact that S is an exact differential) to the following:

<br /> \left( \frac{\partial S}{\partial T} \right)_V = \left( \frac{\partial S}{\partial P} \right)_T \left( \frac{\partial P}{\partial T}\right)_V + \left( \frac{\partial S}{\partial T} \right)_P <br />

Where the heck does THAT come from? Anyone have any ideas?
 
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AxiomOfChoice said:
My professor did this in lecture, and I can't figure out his logic. Can someone fill in the gaps?

He went from:

<br /> dS = \left( \frac{\partial S}{\partial P} \right)_T dP + \left( \frac{\partial S}{\partial T} \right)_P dT<br />

(which I totally understand; it just follows from the fact that S is an exact differential) to the following:

<br /> \left( \frac{\partial S}{\partial T} \right)_V = \left( \frac{\partial S}{\partial P} \right)_T \left( \frac{\partial P}{\partial T}\right)_V + \left( \frac{\partial S}{\partial T} \right)_P <br />

Where the heck does THAT come from? Anyone have any ideas?

The first equation tells you that S can be written as a function of T and P only... i.e. S=S(P,T)...the second equation is just a straight forward application of the chain rule to S(P,T)
 
gabbagabbahey said:
The first equation tells you that S can be written as a function of T and P only... i.e. S=S(P,T)...the second equation is just a straight forward application of the chain rule to S(P,T)

Thanks for your response, but I'm afraid I don't understand. How can a "straightforward application of the chain rule to S(P,T)" involve the variable V? I would think such an application could only contain the variables S, T, P.
 
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AxiomOfChoice said:
Thanks for your response, but I'm afraid I don't understand. How can a "straightforward application of the chain rule to S(P,T)" involve the variable V? I would think such an application could only contain the variables S, T, P.

Both T and P may have some dependence on V.

\left(\frac{\partial S}{\partial T}\right)_V

simply means the partial derivative of S, with repect to T, taken at constant V. Whenever you calculate a partial derivative of a multivariable function, you're always holding at least one variable constant.
 
gabbagabbahey said:
Whenever you calculate a partial derivative of a multivariable function, you're always holding at least one variable constant.

Actually, all the other variables are constant.
AxiomOfChoice said:
My professor did this in lecture, and I can't figure out his logic. Can someone fill in the gaps?

He went from:

<br /> dS = \left( \frac{\partial S}{\partial P} \right)_T dP + \left( \frac{\partial S}{\partial T} \right)_P dT<br />

(which I totally understand; it just follows from the fact that S is an exact differential) to the following:

<br /> \left( \frac{\partial S}{\partial T} \right)_V = \left( \frac{\partial S}{\partial P} \right)_T \left( \frac{\partial P}{\partial T}\right)_V + \left( \frac{\partial S}{\partial T} \right)_P <br />

Where the heck does THAT come from? Anyone have any ideas?

When it come to the chain rule, often physicists are very sloppy. Start with S=S\left(P,T\right) and suppose that pressure is a function of volume and temperature. Define

\tilde{S} \left(V,T\right) = S \left( P\left(V,T\right) , T \right).

Now, use the chain rule to calculate \partial \tilde{S} / \partial T.

Although S and \tilde{S} are very related, they actually are different functions.
 
George Jones said:
Actually, all the other variables are constant.When it come to the chain rule, often physicists are very sloppy. Start with S=S\left(P,T\right) and suppose that pressure is a function of volume and temperature. Define

\tilde{S} \left(V,T\right) = S \left( P\left(V,T\right) , T \right).

Now, use the chain rule to calculate \partial \tilde{S} / \partial T.

Although S and \tilde{S} are very related, they actually are different functions.

You beat me to it. But let me add. The real problem (sloppiness) is that we confuse the variables with the functions e.g. x = x(t). We should really begin with entropy as a function of T, P,N and V.
S = s(T,P,N,V) so
dS = \frac{\partial s}{\partial P} dP + \frac{\partial s}{\partial T} dT + \frac{\partial s}{\partial V}dV + \frac{\partial s}{\partial N}dN
But we also have a constraint on T,P, N, and V via the physical gas law. This we can express implicitly f(P,V,N,T)=0, or solve for any of the four quantities as a function of the other three.

P = p(V,T,N)
V = v(P,T,N)
T = t(P,V,N)
N = n(P,V,T)

Differentiate each of these to relate their partials to f's.

We then may impose a condition such as constancy of volume or temperature, etc.

It may be rather lengthy but I think worthwhile to go through the long derivation then practice converting to the "sloppy" form used.

[EDIT]: Actually "we begin with" the gas law and that is incorporated into the entropy function so I got overly inclusive with the variables.
 
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Maybe he used Maxwell relations?
Its a difficult to calculate.
But you can find loads of ways to find similar relations :
G(T,P)
 

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