Classical Statistical Mechanics 3rd Edition by Pathria and Beale

AI Thread Summary
Pathria's book on statistical mechanics is perceived by some as disorganized, leading to an uneasy reading experience. Despite this, it is favored over other graduate texts, with preferences noted for Pathria and Beale. Comparisons are made with Kardar's book, which is seen as more organized but overly concise. Landau and Lifshitz are mentioned as a close second in quality. The discussion acknowledges the inherent difficulty of graduate-level statistical mechanics, noting that even successful students often feel uncomfortable with the material. Kerson Huang's book is also referenced, though only partially read by one participant. Overall, the conversation highlights varying opinions on the organization and accessibility of key texts in statistical mechanics.
Whitehole
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I would like to know if I'm the only one finding Pathria's book not organized and somehow I have an uneasy feeling when reading it. What are other graduate books in statistical mechanics (aside from Kardar's book which is more organized but too concise)? How does Pathria's book compare to others?
 
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I prefer Pathria and Beale to any graduate statistical mechanics book that I know of. I actually took a Statistical mechanics from one of the authors. Perhaps, Landau and Livshts is a near second. The subject graduate statistical mechanics has always been a hard one to approach. I liked statistical nechanics but I know many cases where students who do well in the course are uncomfortable with it.
 
I just thought of another one. Statistical Mechanics by Kerson Huang, although I have only read about 100 pages in that one.
 
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...

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