Finding the entropy from the heat capacity

AI Thread Summary
The discussion focuses on deriving entropy from heat capacity in a canonical ensemble, using the relationship between heat capacity and entropy. It establishes that if the heat capacity is known, entropy can be expressed as a function of temperature and volume, with a specific form for the function f(N,V). The participants highlight that this method is valid under certain conditions, particularly when heat capacity is a simple function of temperature. However, complications arise for ideal gases and real substances due to constant heat capacity assumptions and phase changes that occur before reaching absolute zero. The conversation emphasizes the need for caution when applying this reasoning in different thermodynamic contexts.
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Let's say that we have some canonical ensemble where I know that the heat capacity is given by

##C_{V}=\alpha(N,V) T^{n}##

Since ##C_{V}=T\frac{\partial S(T,V)}{\partial T}## I know that

##S(V,T)=\frac{1}{n} \alpha(N,V) T^{n} + f(N,V) ##

Where the function ##f(N,V)## has to do with the fact that I'm only taking the derivative wrt. to T and can lose such additional terms in general.

I also know that ##S(V,0)=0## which means that ##f(N,V,)=0## which means I can always use this trick to find the entropy if the heat capacity is known. Obviously if ##C_{V}## is an uglier function of T we'd have to integrate and so on.

##QUESTION##: When is it okay to do such a reasoning and when isn't it?
 
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For an ideal gas, assuming CV is constant, ##S = N(C_vln(T) + R ln(V)+C)##. So this doesn't even work for an ideal gas. For real substances, there are phase changes that occur prior to getting to absolute zero that need to be included also.
 
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