Statistical Mechanics with worked examples

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The discussion highlights frustrations with graduate-level Statistical Mechanics courses, emphasizing a lack of practical examples to illustrate complex mathematical concepts. Participants express that textbooks, including Paritha, Huang, and Salinas, primarily focus on definitions of ensembles without demonstrating their application to real-world problems. Key points include the importance of the partition function in calculating equilibrium constants for chemical reactions, the statistical nature of Einstein and Debye theories for crystals, and the relevance of phonons in thermodynamics. The conversation also addresses the applicability of statistical mechanics in various contexts, such as the thermodynamics of monoatomic and polyatomic gases, kinetic theory, classical liquid theory, phase transitions, and electron conduction in metals. Additionally, computational biophysics is mentioned as a field that utilizes classical statistical mechanics through methods like molecular dynamics and Monte Carlo simulations, underscoring the need for a clearer connection between theory and practical calculations.
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I'm taking Stat Mech at the graduate level and I find the course incredibly frustrating in that it just feels like a whole lot of mathematical formalism without any examples. I've looked in Paritha, Huang, and Salinas and all these books seem the same in that they just looks like a bunch of definitions for the various ensembles, and it's not clear how any of it connects to the problems. Ensemble theory just seems pointless since I've never seen a treatment that demonstrates how it can be used to make calculations.
 
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Here are some examples:
1) In some cases the partition function can be used to explicitly calculate a chemical reactions equilibrium constant.
2) Einstein and Debye Theory of crystals are statistical in nature.
3) Phonons
4) The thermodynamics of an ideal monotomic and diatomic can be explicitly calculated.
5) The thermodynamics of a polyatomic can be treated well.
6) The Theory of imperfect gases/Kinetic Theory of gases.
7) Classical liquid theory (radial distribution functions) and perturbation theory.
8) Phase transitions (renormalization group!)
9) Conduction of electrons in metals.


10) Computational biophysics uses classical stat mech. Molecular dynamics, monte carlo simulations, etc. The formalism of classical stat mech allows us to trust our calculations (reasonably so) but admittedly the practical calculations are very different.
 
Im currently reading mathematics for physicists by Philippe Dennery and André Krzywicki, and I’m understanding most concepts however I think it would be better for me to get a book on complex analysis or calculus to better understand it so I’m not left looking at an equation for an hour trying to figure out what it means. So here comes the split, do I get a complex analysis book? Or a calculus book? I might be able to Borrow a calculus textbook from my math teacher study that for a bit and...

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