Introduction to Statistical Physics

Written 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 applications. 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. (Book Cover)

written 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 Applications.

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.

Statistical physics is a core component of physics degree courses. It is primarily concerned with the behavior of matter in bulk-from boiling water to the superconductivity of metals. This new textbook guides the reader quickly through a statistical view of the physical world, including a wide range of physical applications to illustrate the methodology. It moves from basic examples to more advanced topics, such as broken symmetry and the Bose-Einstein equation. To accompany the text, the author, a renowned author, has written a Solutions Manual/Instructor's Guide, available free of charge to lecturers who adopt Introduction to Statistical Physics for their courses. The world puts on different faces for observers using different scales in the measurement of space and time.