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Entropy (Princeton Series in Applied Mathematics)
 
 
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Entropy (Princeton Series in Applied Mathematics) (Hardcover)

by Andreas Greven (Editor), Gerhard Keller (Editor), Gerald Warnecke (Editor) "The concept of entropy arose in the physical sciences during the 19th century, in particular in thermodynamics and in the development of statistical physics..." (more)
Key Phrases: thermal join, isothermal thermoelasticity, multiple scaled copies, Sanov's Theorem, New York, Cambridge University Press (more...)
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Editorial Reviews

Review
This book is that rare thing: an edited volume that will be a lasting contribution to the literature.
(Ray Streater, King's College )

Product Description
The concept of entropy arose in the physical sciences during the nineteenth century, particularly in thermodynamics and statistical physics, as a measure of the equilibria and evolution of thermodynamic systems. Two main views developed: the macroscopic view formulated originally by Carnot, Clausius, Gibbs, Planck, and Caratheodory and the microscopic approach associated with Boltzmann and Maxwell. Since then both approaches have made possible deep insights into the nature and behavior of thermodynamic and other microscopically unpredictable processes. However, the mathematical tools used have later developed independently of their original physical background and have led to a plethora of methods and differing conventions.

The aim of this book is to identify the unifying threads by providing surveys of the uses and concepts of entropy in diverse areas of mathematics and the physical sciences. Two major threads, emphasized throughout the book, are variational principles and Ljapunov functionals. The book starts by providing basic concepts and terminology, illustrated by examples from both the macroscopic and microscopic lines of thought. In-depth surveys covering the macroscopic, microscopic and probabilistic approaches follow. Part I gives a basic introduction from the views of thermodynamics and probability theory. Part II collects surveys that look at the macroscopic approach of continuum mechanics and physics. Part III deals with the microscopic approach exposing the role of entropy as a concept in probability theory, namely in the analysis of the large time behavior of stochastic processes and in the study of qualitative properties of models in statistical physics. Finally in Part IV applications in dynamical systems, ergodic and information theory are presented.

The chapters were written to provide as cohesive an account as possible, making the book accessible to a wide range of graduate students and researchers. Any scientist dealing with systems that exhibit entropy will find the book an invaluable aid to their understanding.

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Inside This Book (learn more)
First Sentence:
The concept of entropy arose in the physical sciences during the 19th century, in particular in thermodynamics and in the development of statistical physics. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
thermal join, isothermal thermoelasticity, multiple scaled copies, adiabatic accessibility, local time law, mean entropy production, thermal coordinate, pathwise approach, quantum dynamical entropies, entropy production density, minimal entropy production, extended thermodynamics, conditional limit theorem, rational thermodynamics, thermal splitting, dynamical entropy, metastable behavior, entropy supply, entropy inequality, quantum sources, extended irreversible thermodynamics, local growth rate, flux pair, fluctuation theorem, zeroth law
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Sanov's Theorem, New York, Cambridge University Press, Carathéodory's Principle, Lecture Notes, Continuum Mech, Princeton University Press, Comparability Hypothesis, Comparison Hypothesis, Gibbs-Jaynes Principle, Carnot's Theorem, Kelvin's Principle, Liu E-condition, Pesin's Formula, Varadhan's Lemma, Analysis Appl, Arnold Cat Map, Cramér's Theorem, Gibbs Principle, Hahn-Banach Theorem, Oxford University Press, Pure Appl, Ruelle's Inequality, Sketch of Proof, Springer Tracts
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