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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Bibliographic Details
Main Author: Tsallis, Constantino
Format: Livre numérique
Language:Anglais
Published: New York, NY : Springer New York [20..].
Cham : Springer Nature
Edition:1st ed. 2009.
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Note: 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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Summary: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.
Item Description:Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
ISBN:9780387853598
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