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What mathematical physics knowledge is needed for thermodynamics and statistical physics, and what textbooks are there?
1. Entry type: partial science. The original thermodynamics was simple. If you can learn physics in high school, it is not a problem to learn most thermodynamics after calculus. This kind of book recommends Zhao Kaihua's thermal textbook, which is about "New Concept Physics: Thermal". In addition, the thermal part of Feynman's physics lecture is also very good and interesting.

2. Mild type: suitable for systematic learning. At that time, we studied Wang Chengtai's statistical physics in Tsinghua, which felt suitable for fast learning, but some concepts were not deep enough. Li Zhengdao has a book about statistical physics, and the electronic version can be found on the Internet. To the point, the reason is clear. In addition, Landau's set of statistical mechanics is 1, which is very thorough and detailed, and can almost be used as a reference book, but it is a bit boring for beginners.

3. Advanced and supplementary. If you learn some quantum mechanics, you will have a deeper understanding of statistical physics. If you are interested, you can read books on quantum statistics. In addition, the application of physical chemistry as statistics and thermodynamics in chemistry is also very interesting, and we can have a better understanding of chemical reactions.