Statistical Mechanics problem from RK Pathria

AI Thread Summary
The discussion focuses on understanding how a partial derivative equation transitions into one that includes a logarithmic component in the context of statistical mechanics. The key relationship highlighted is that the expression involving the partial derivative can be rewritten in terms of the natural logarithm, specifically using the identity that connects them. The energy equation E(0) = E1 + E2 is referenced, emphasizing the equilibrium between two systems exchanging energy. Participants clarify the rearrangement of equations to derive the logarithmic terms. This exchange of ideas aids in grasping the mathematical foundations of statistical mechanics as presented in RK Pathria's textbook.
Sudeb Sarkar
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How does the equation with partial derivative evolve into the next equation which also involves ln?
How do we get the logarithmic part?
E(0) = const = E1 +E2
where E1 and E2 are the energies of two separate systems in equilibrium and E(0) is the energy of the conjugate system where the two systems can exchange energy (only) with each other.

The Attempt at a Solution


The book used is RK Pathria's Statistical Mechanics, article 1.2
 

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Welcome to PF!

Note that ## \frac{1}{y} \frac{ \partial {y}}{\partial x} = \frac{ \partial \; {\ln y}}{\partial x}##

Looking at the equation before the equation with the logs, can you rearrange it so that you get terms of the form ##\frac{1}{y} \frac{ \partial {y}}{\partial x}##?
 
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TSny said:
Welcome to PF!

Note that ## \frac{1}{y} \frac{ \partial {y}}{\partial x} = \frac{ \partial \; {\ln y}}{\partial x}##

Looking at the equation before the equation with the logs, can you rearrange it so that you get terms of the form ##\frac{1}{y} \frac{ \partial {y}}{\partial x}##?
Thank you. I didn't know about that relation.
 
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