000			02118nam a22002177a 4500
005			20250214145445.0
008			250214b ||||| |||| 00| 0 eng d
020			_a9781138031982
040			_cAL
041			_aeng
082			_223 _a530.1595 _bHUAI
100			_aKerson Huang _9199822
245			_aIntroduction to statistical physics
250			_a2nd ed.
260			_aLondon _bCRC Press _c2023
300			_axiii,319p. _bPB _c22.5x15cm.
365			_2General _a6387 _b₹956.00 _c₹ _d₹1195.00 _e20% _f6/02/2025
520			_aWritten by a world-renowned theoretical physicist, Introduction to Statistical Physics, Second Edition clarifies the properties of matter collectively in terms of the physical laws governing atomic motion. This second edition expands upon the original to include many additional exercises and more pedagogically oriented discussions that fully explain the concepts and application The book first covers the classical ensembles of statistical mechanics and stochastic processes, including Brownian motion, probability theory, and the Fokker–Planck and Langevin equations. To illustrate the use of statistical methods beyond the theory of matter, the author discusses entropy in information theory, Brownian motion in the stock market, and the Monte Carlo method in computer simulations. The next several chapters emphasize the difference between quantum mechanics and classical mechanics—the quantum phase. Applications covered include Fermi statistics and semiconductors and Bose statistics and Bose–Einstein condensation. The book concludes with advanced topics, focusing on the Ginsburg–Landau theory of the order parameter and the special kind of quantum order found in superfluidity and superconductivity Assuming some background knowledge of classical and quantum physics, this textbook thoroughly familiarizes advanced undergraduate students with the different aspects of statistical physics. This updated edition continues to provide the tools needed to understand and work with random processes
650			_2Statistical Physics _aPhysics _9199823
942			_2ddc _cBK
999			_c233785 _d233785