Thermodynamics and Statistical Mechanics

[vladittude0583]

I am currently enrolled in PHY4523 - Thermodynamics and Statistical Mechanics where we are currently using "Fundamentals of Statistical and Thermal Physics" by F. Reif and I was wondering if there were any good recommendations as far as supplemental texts that I could use in helping me understand some of the core concepts in Statistical Mechanics? In addition, any textbook that contains a good amount of examples or problems with worked out solutions so that I can follow their reasoning would be greatly appreciated! On a side note, I have never taken probability theory prior to enrolling in PHY4523, thus, I am learning some of the concepts for the very first time. Thanks.

 

[Count Iblis]

That book by F. Reif is actually far better than most other commonly used textbooks. E.g. the book by Kittel on the same subject is i.m.o. horrible.

 

[jasonRF]

I too learned from Reif's book. One recent book that I think is quite different than Reif but easier reading is "Thermal Physics" by Schroeder. He doesn't do a ton of example problems for you, but has a very clear presentation with interesting applications. If I had to teach myself the subject these days, I would surely use Schroeder's book. I'm not aware of any books at this level that do a bunch of example problems for you. you may want to google to find posted solutions to homework problems for similar courses if you want some practice problems to work.

jason

 

[sr6622]

Here are a set of lecture notes from UT-Asutin which condense main points of the Reif textbook. I know that it may not be completely helpful for problem-solving, but it is beneficial for review.

http://farside.ph.utexas.edu/teaching/sm1/lectures.html

 

[rezeew]

Hello,

Thermodynamics and statistical mechanics are fundamental concepts in the field of physics and have many practical applications in various fields such as engineering, chemistry, and biology.

In terms of supplemental texts, I would recommend "Introduction to Statistical Mechanics" by David Chandler and "Thermodynamics and Statistical Mechanics" by Walter Greiner. Both of these books provide clear explanations of core concepts and have a good number of examples and problems with solutions.

Additionally, I would suggest supplementing your learning with online resources such as lectures and tutorials from reputable universities or online courses that cover probability theory. This will help you develop a solid understanding of the underlying principles and mathematical techniques used in statistical mechanics.

I would also recommend actively engaging with your course material and seeking help from your instructor or peers if you encounter any difficulties. Practicing and solving problems is crucial in understanding and applying these concepts effectively.

I wish you the best of luck in your studies and hope these recommendations will be helpful in your learning journey.

Best regards,