Introduction to Nonextensive Statistical Mechanics : Approaching a Complex World

This book focuses on nonextensive statistical mechanics, a current generalization of Boltzmann-Gibbs (BG) statistical mechanics, one of the greatest monuments of contemporary physics. Conceived more than 130 years ago by Maxwell, Boltzmann and Gibbs, the BG theory exhibits many impressive successes...

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書誌詳細
第一著者: Tsallis, Constantino
フォーマット: Livre numérique
言語:Anglais
出版事項: New York, NY : Springer New York [20..].
Cham : Springer Nature
版:1st ed. 2009.
オンライン・アクセス:Accès sur la plateforme de l'éditeur
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注記: Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Introduction to Nonextensive Statistical Mechanics, Texte imprimé, 9780387854014
• Introduction to Nonextensive Statistical Mechanics, Texte imprimé, 9781441927484
• Introduction to nonextensive statistical mechanics, approaching a complex world, Constantino Tsallis, New York, Springer, 2009, 1 vol. (xviii-382 p., 978-0-387-85358-1
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505 1 |a Basics or How the Theory Works Historical Background and Physical Motivations Learning with Boltzmann-Gibbs Statistical Mechanics Generalizing What We Learnt: Nonextensive Statistical Mechanics Foundations or Why the Theory Works Stochastic Dynamical Foundations of~Nonextensive Statistical Mechanics Deterministic Dynamical Foundations of Nonextensive Statistical Mechanics Generalizing Nonextensive Statistical Mechanics Applications or What for the Theory Works Thermodynamical and Nonthermodynamical Applications Last (But Not Least) Final Comments and Perspectives. 
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520 |a This book focuses on nonextensive statistical mechanics, a current generalization of Boltzmann-Gibbs (BG) statistical mechanics, one of the greatest monuments of contemporary physics. Conceived more than 130 years ago by Maxwell, Boltzmann and Gibbs, the BG theory exhibits many impressive successes in physics, chemistry, mathematics, and computational sciences. Presently, several thousands of publications by scientists around the world have been dedicated to its nonextensive generalization. A variety of applications have emerged in complex systems and its mathematical grounding is by now well advanced. A pedagogical introduction to its concepts - nonlinear dynamics, extensivity of the nonadditive entropy, global correlations, and extensions of the standard central limit theorems, among others - is presented in this book, as well as a selection of paradigmatic applications in various sciences and diversified experimental verifications of some of its predictions. Introduction to Nonextensive Statistical Mechanics is suitable for students and researchers with an interest in complex systems and statistical physics. 
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