Learning Statistical physics, which book?

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SUMMARY

The discussion focuses on recommended resources for learning statistical physics, particularly for graduate students facing challenges with the subject. Key texts mentioned include "Statistical Physics" by Reif from the Berkeley Series, "Introduction to Thermodynamics and Statistical Mechanics" by Stowe, and Kardar's lecture notes from MIT. The participants emphasize the importance of accessible materials, particularly for understanding the microcanonical ensemble and foundational concepts in statistical mechanics.

PREREQUISITES
  • Familiarity with basic thermodynamics concepts
  • Understanding of classical mechanics principles
  • Knowledge of mathematical methods used in physics
  • Exposure to quantum mechanics basics
NEXT STEPS
  • Explore Kardar's lecture notes on statistical mechanics
  • Read "Statistical Physics" by Reif for foundational concepts
  • Investigate "Introduction to Thermodynamics and Statistical Mechanics" by Stowe for a comprehensive introduction
  • Review Tong's lecture notes for refreshing statistical physics concepts
USEFUL FOR

Graduate physics students, educators in statistical mechanics, and anyone seeking to strengthen their understanding of statistical physics concepts and methodologies.

silverwhale
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Hello everybody,

I am a graduate physics student.
I am trying to learn statistical physics and I have extreme difficulty in learning it. I do not find good books and don't get the ideas behind the concepts.
the books I consulted where the Greiner, Kittel and Fliessbach. Books used in German universities.
Especially I have difficulties in understanding how to derive the microcanonical ensemble. And the concepts behind it. Can anyone help?
Telling me about an easy book to start with or lecture notes. Any help would be appreciated!

Thanks in Advance!
 
Physics news on Phys.org
How does Kardar compare with Reif? Does Kardar have any gaps?

Also, what about Statistical Mechanics in a Nutshell?
 
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