Springer Series in Synergetics
cover

Statistical Physics of Complex Systems

A Concise Introduction

Authors: Bertin, Eric

  • Explains the fundamental concepts of statistical physics by making use of topics in the field of complex systems
  • Is Accessible to a broad, non-specialized readership
  • Provides many exercises appropriated for learning in an interdisciplinary way and is course-tested and self-contained
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eBook 58,84 €
price for Spain (gross)
  • The eBook version of this title will be available soon
  • Due: December 2, 2021
  • ISBN 978-3-030-79949-6
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover 72,79 €
price for Spain (gross)
  • Due: December 2, 2021
  • ISBN 978-3-030-79948-9
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this Textbook

This third edition of Statistical Physics of Complex Systems has been expanded to provide more examples of applications of concepts and methods from statistical physics to the modeling of complex systems. These include avalanche dynamics in materials, models of social agents like road traffic or wealth repartition, the real space aspects of biological evolution dynamics, propagation phenomena on complex networks, formal neural networks and their connection to constraint satisfaction problems.

This course-tested textbook provides graduate students and non-specialists with a basic understanding of the concepts and methods of statistical physics and demonstrates their wide range of applications to interdisciplinary topics in the field of complex system sciences, including selected aspects of theoretical modeling in biology and the social sciences. It covers topics such as non-conserved particles, evolutionary population dynamics, networks, properties of both individual and coupled simple dynamical systems, and convergence theorems, as well as short appendices that offer helpful hints on how to perform simple stochastic simulations in practice. The original spirit of the book is to remain accessible to a broad, non-specialized readership. The format is a set of concise, modular, and self-contained topical chapters, avoiding technicalities and jargon as much as possible, and complemented by a wealth of worked-out examples, so as to make this work useful as a self-study text or as textbook for short courses.


About the authors

Dr. Eric Bertin obtained his Ph.D. in 2003 from the Laboratory of Condensed Matter Physics, CEA Saclay (Paris), under the supervision of Jean-Philippe Bouchaud. His research interests mainly deal with non-equilibrium statistical physics—specifically with non-conservative systems, which include for instance active particles, granular matter, foams, fluid turbulence, coupled oscillators, or models of social behavior. He currently works as a CNRS senior scientist at the Laboratoire Interdisciplinaire de Physique (University of Grenoble), where he manages the Statistical Physics and Modeling team since 2014.

Buy this book

eBook 58,84 €
price for Spain (gross)
  • The eBook version of this title will be available soon
  • Due: December 2, 2021
  • ISBN 978-3-030-79949-6
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Hardcover 72,79 €
price for Spain (gross)
  • Due: December 2, 2021
  • ISBN 978-3-030-79948-9
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Statistical Physics of Complex Systems
Book Subtitle
A Concise Introduction
Authors
Series Title
Springer Series in Synergetics
Copyright
2021
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-79949-6
DOI
10.1007/978-3-030-79949-6
Hardcover ISBN
978-3-030-79948-9
Series ISSN
0172-7389
Edition Number
3
Number of Pages
XVII, 291
Number of Illustrations
33 b/w illustrations
Topics