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Introduction to Nonextensive Statistical Mechanics: Approaching a Complex World
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Introduction to Nonextensive Statistical Mechanics: Approaching a Complex World Hardcover - 2009 - 2009th Edition

by Constantino Tsallis


From the publisher

Metaphors, generalizations and unifications are natural and desirable ingredients of the evolution of scientific theories and concepts. Physics, in particular, obviously walks along these paths since its very beginning. 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 uncountable - some of them impressive - successes in physics, chemistry, mathematics, and computational sciences, to name a few. Presently, more than two thousand publications, by over 1800 scientists around the world, have been dedicated to the nonextensive generalization. Remarkable applications have emerged, and its mathematical grounding is by now relatively well established. A pedagogical introduction to its concepts - nonlinear dynamics, extensivity of the nonadditive entropy, global correlations, generalization of the standard CLT's, 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.

  • This is the first pedagogical book on the subject, written by the proponent of the theory
  • Presents many applications to interdisciplinary complex phenomena in virtually all sciences, ranging from physics to medicine, from economics to biology, through signal and image processing and others
  • Offers a detailed derivation of results, illustrations and for the first time detailed presentation of Nonextensive Statistical Mechanics

From the rear cover

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.

Details

  • Title Introduction to Nonextensive Statistical Mechanics: Approaching a Complex World
  • Author Constantino Tsallis
  • Binding Hardcover
  • Edition number 2009th
  • Edition 2009
  • Pages 382
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Date 2009-03-11
  • Illustrated Yes
  • ISBN 9780387853581 / 0387853588
  • Weight 1.75 lbs (0.79 kg)
  • Dimensions 9.3 x 6.3 x 0.9 in (23.62 x 16.00 x 2.29 cm)
  • Library of Congress subjects Statistical mechanics
  • Library of Congress Catalog Number 2008942520
  • Dewey Decimal Code 530.13

About the author

http: //tsallis.cat.cbpf.br/biblio.htm

Born in Athens-Greece, grew up in Argentina, Docteur d' Etat from the University of Paris, established in Brazil since 1975, where he acquired the Brazilian citizenship. Many of the most recent theoretical results have, as co-author, Murray Gell-Mann, Nobel Laureate in Physics for his discovery of quarks. The author has recently done a two-year-long visit as researcher at the Santa Fe Institute, New Mexico.

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Introduction to Nonextensive Statistical Mechanics
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