Introduction to nonextensive statistical mechanics : approaching a complex world / Constantino Tsallis.

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Introduction to nonextensive statistical mechanics : approaching a complex world / Constantino Tsallis.

Second edition.

9783030795696 (electronic bk.)
3030795691 (electronic bk.)
9783030795689
3030795683

Cham : Springer, [2023]

©2023

English

1 online resource (xvii, 569 pages) : illustrations (some color)

10.1007/978-3-030-79569-6 doi

QC174.8

530.13

Metaphors, generalizations and unifications are natural and desirable ingredients of the evolution of scientific theories and concepts. Physics in particular has walked along these paths since its very beginning. This book focuses on nonextensive statistical mechanics, a current generalization of Boltzmann-Gibbs (BG) statistical mechanics. Conceived nearly 150 years ago by Maxwell, Boltzmann and Gibbs, the BG theory, one of the greatest monuments of contemporary physics, 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. Since the first edition release thirteen years ago, there has been a vast amount of new results in the field, all of which have been incorporated in this comprehensive second edition. Heavily revised and updated with new sections and figures, the second edition remains the go-to text on the subject. A pedagogical introduction to the BG theory concepts and their generalizations nonlinear dynamics, extensivity of the nonadditive entropy, global correlations, generalization of the standard CLTs, complex networks, among others is presented in this book, as well as a selection of paradigmatic applications in various sciences together with 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.

Previous edition: 2009.

Includes bibliographical references and index.

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Description based on print version record.

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