Behind on my understanding of thermodynamics/statistical mechanics

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SUMMARY

The discussion centers on the challenges faced by a physics graduate student in understanding statistical mechanics and thermodynamics. Key recommendations for bridging the knowledge gap include Landau and Lifshitz's volume 5, Reif's "Fundamentals of Statistical and Thermal Physics," and M. LeBellac et al.'s "Equilibrium and Non-Equilibrium Statistical Thermodynamics." Additional resources mentioned are A. Katz's "Principles of Statistical Mechanics" and A. Hobson's "Concepts in Statistical Mechanics." The student also inquires about the effectiveness of Susskind's online lecture series as preparation for graduate-level texts.

PREREQUISITES
  • Understanding of basic thermodynamics concepts
  • Familiarity with statistical mechanics principles
  • Knowledge of quantum field theory basics
  • Experience with information-theoretical approaches in physics
NEXT STEPS
  • Study Landau and Lifshitz's volume 5 for advanced thermodynamics techniques
  • Read Reif's "Fundamentals of Statistical and Thermal Physics" for foundational concepts
  • Explore M. LeBellac et al.'s "Equilibrium and Non-Equilibrium Statistical Thermodynamics" for modern treatments
  • Watch Susskind's online lecture series on statistical mechanics for supplementary learning
USEFUL FOR

Physics graduate students, educators in thermodynamics and statistical mechanics, and anyone seeking to deepen their understanding of advanced statistical physics concepts.

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I am a physics graduate student, and feel a bit behind in my understanding of statistical mechanics. I will be taking that course in the upcoming semester, and feel unprepared for the course. Right now, I'd say my understanding of thermodynamics is about at the level of the Feynman lectures. Could anyone tell me what a decent book is to bridge the gap between that and Huang or Pathira, or Kadanoff?
 
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A very good book is volume 5 of Landau/Lifshits. More advanced techniques are presented in vol. IX (non-relatistic QFT/Green's-function methods in equilibrium) and X (kinetic/transport equations, non-equilibrium non-relativistic Keldysh formalism). Another standard source is

Reif, Fundamentals of statistical and thermal physics

For my taste it's tending to be lengthy and repetitive in its explanations. On the other hand it's sometimes good to have more than one treatment of the same topics.

A more modern treatment is

M. LeBellac et al, Equilibrium and non-equilibrium statistical thermodynamics

Another perspective is provided by books using the information-theoretical approach, which I find very convincing. Two good books using this approach are

A. Katz, Principles of statistical mechanics
A. Hobson, Concepts in statistical mechanics
 
Reif "Fundamentals of Statistical and Thermal Physics", it's one of the best physics textbooks I've ever had the pleasure of working through and it's the perfect bridge to Pathria (which is what I'm working through currently).
 
Thank you for your responses. Reif just came in, and it looks quite good.

I was wondering if anyone has checked out Susskind's online lecture on statistical mechanics, and whether or not that would be sufficient to move on to the graduate texts?
 

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