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Books > Science & Mathematics > Physics > Thermodynamics & statistical physics > Statistical physics

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Advanced Statistical Mechanics (Hardcover) Loot Price: R1,763
Discovery Miles 17 630
Advanced Statistical Mechanics (Hardcover): Jian-sheng Wang

Advanced Statistical Mechanics (Hardcover)

Jian-sheng Wang

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Loot Price R1,763 Discovery Miles 17 630 | Repayment Terms: R165 pm x 12*

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This short textbook covers roughly 13 weeks of lectures on advanced statistical mechanics at the graduate level. It starts with an elementary introduction to the theory of ensembles from classical mechanics, and then goes on to quantum statistical mechanics with density matrix. These topics are covered concisely and briefly. The advanced topics cover the mean-field theory for phase transitions, the Ising models and their exact solutions, and critical phenomena and their scaling theory. The mean-field theories are discussed thoroughly with several different perspectives - focusing on a single degree, or using Feynman-Jensen-Bogoliubov inequality, cavity method, or Landau theory. The renormalization group theory is mentioned only briefly. As examples of computational and numerical approach, there is a chapter on Monte Carlo method including the cluster algorithms. The second half of the book studies nonequilibrium statistical mechanics, which includes the Brownian motion, the Langevin and Fokker-Planck equations, Boltzmann equation, linear response theory, and the Jarzynski equality. The book ends with a brief discussion of irreversibility. The topics are supplemented by problem sets (with partial answers) and supplementary readings up to the current research, such as heat transport with a Fokker-Planck approach.

General

Imprint: World Scientific Publishing Co Pte Ltd
Country of origin: Singapore
Release date: November 2021
First published: 2022
Authors: Jian-sheng Wang
Format: Hardcover
Pages: 224
ISBN-13: 978-981-12-4214-4
Categories: Books > Science & Mathematics > Physics > Thermodynamics & statistical physics > Statistical physics
LSN: 981-12-4214-3
Barcode: 9789811242144

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