Fr. 246.00

Entropy and the Time Evolution of Macroscopic Systems

Anglais · Livre Relié

Expédition généralement dans un délai de 1 à 3 semaines (ne peut pas être livré de suite)

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Zusatztext Written in an accessible style, the book makes numerous little-known connections between macroscopic and microscopic expressions for entropy and entropy production...Filled with many examples, Grandys thought-provoking exposition will be of interest for years to come. I would recommend it to any serious student of statistical physics. Informationen zum Autor Walter T. Grandy, Jr. Professor of Physics, Emeritus University of Wyoming Professor of Physics, University of Wyoming, 1963-1998.Visiting Professor: University of Sao Paulo, Brazil; University of Tübingen, Germany; University of Sydney, Australia. Klappentext The book explicates the concept of entropy, particularly its governance of all of thermal physics, over a broad range of equilibrium and nonequilibrium phenomena. Historical development and modern research are presented in the context of entropy as a fundamental element of probability theory and its relation to the notion of information. Zusammenfassung The book explicates the concept of entropy, particularly its governance of all of thermal physics, over a broad range of equilibrium and nonequilibrium phenomena. Historical development and modern research are presented in the context of entropy as a fundamental element of probability theory and its relation to the notion of information. Inhaltsverzeichnis 1: Introduction 2: Some Clarification from Another Direction 3: The Probability Connection 4: Equilibrium Statistical Mechanics and Thermodynamics 5: The Presumed Extensivity of Entropy 6: Nonequilibrium States 7: Steady-State Processes 8: Sources and Time-Dependent Proceses 9: Thermal Driving 10: Application to Fluid Dynamics 11: Irreversibility, Relaxation, and the Approach to Equilibrium 12: Entropy Production and Dissipation Rates A: Perturbation Theory B: Dissipative Currents and Galilean Invariance C: Analytic Continuation of Covariance Functions ...

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