Behind on my understanding of thermodynamics/statistical mechanics

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Discussion Overview

The discussion centers on the challenges faced by a physics graduate student in understanding statistical mechanics and thermodynamics. Participants share recommendations for books and resources that could help bridge the gap in knowledge before taking a graduate-level course.

Discussion Character

  • Exploratory
  • Technical explanation
  • Homework-related

Main Points Raised

  • One participant expresses feeling unprepared for an upcoming course in statistical mechanics, indicating their current understanding is at the level of the Feynman lectures.
  • Another participant recommends volume 5 of Landau/Lifshits as a good resource, mentioning more advanced volumes that cover non-relativistic quantum field theory and kinetic equations.
  • Reif's "Fundamentals of Statistical and Thermal Physics" is highlighted by multiple participants as a strong bridge to more advanced texts like Pathria.
  • A modern treatment suggested is "Equilibrium and Non-Equilibrium Statistical Thermodynamics" by M. LeBellac et al.
  • Books using an information-theoretical approach, such as those by A. Katz and A. Hobson, are mentioned as providing a convincing perspective.
  • A participant inquires about the sufficiency of Susskind's online lecture on statistical mechanics as preparation for graduate texts.

Areas of Agreement / Disagreement

Participants generally agree on the value of Reif's textbook and other recommended resources, but there is no consensus on the adequacy of Susskind's online lecture as preparation for graduate studies.

Contextual Notes

Some participants express personal preferences regarding the length and repetitiveness of certain texts, indicating that individual learning styles may affect the choice of resources.

Who May Find This Useful

Graduate students in physics or related fields seeking to strengthen their understanding of statistical mechanics and thermodynamics may find this discussion and the recommended resources beneficial.

mjordan2nd
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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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