Behind on my understanding of thermodynamics/statistical mechanics

  • Thread starter Thread starter mjordan2nd
  • Start date Start date
  • Tags Tags
    Mechanics
AI Thread Summary
A physics graduate student expressed concerns about their preparedness for an upcoming statistical mechanics course, noting their current understanding of thermodynamics aligns with the Feynman lectures. They sought recommendations for books to bridge the gap to more advanced texts like Huang, Pathria, or Kadanoff. Suggestions included Landau/Lifshitz volumes, particularly volume 5 for foundational concepts and volumes IX and X for advanced techniques. Reif's "Fundamentals of Statistical and Thermal Physics" was highlighted as a comprehensive resource, though some found it lengthy. A modern alternative mentioned was M. LeBellac's work on statistical thermodynamics. Additionally, books by Katz and Hobson were recommended for their information-theoretical approach. The student expressed interest in Susskind's online lectures on statistical mechanics and inquired about their adequacy for transitioning to graduate-level texts.
mjordan2nd
Messages
173
Reaction score
1
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?
 
Physics news on Phys.org
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?
 
The book is fascinating. If your education includes a typical math degree curriculum, with Lebesgue integration, functional analysis, etc, it teaches QFT with only a passing acquaintance of ordinary QM you would get at HS. However, I would read Lenny Susskind's book on QM first. Purchased a copy straight away, but it will not arrive until the end of December; however, Scribd has a PDF I am now studying. The first part introduces distribution theory (and other related concepts), which...
I've gone through the Standard turbulence textbooks such as Pope's Turbulent Flows and Wilcox' Turbulent modelling for CFD which mostly Covers RANS and the closure models. I want to jump more into DNS but most of the work i've been able to come across is too "practical" and not much explanation of the theory behind it. I wonder if there is a book that takes a theoretical approach to Turbulence starting from the full Navier Stokes Equations and developing from there, instead of jumping from...

Similar threads

Back
Top