Editors:
- Includes novel contributions pertaining to the field of statistical mechanics at large as well as its applications in probability, physics, computer science and biology
- Reviews the current state of research in key areas of the statistical mechanics of disordered and non-disordered systems
- Features articles by leading researchers in the field
Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 293)
Conference series link(s): StaMeClaDys: International Conference on Statistical Mechanics of Classical and Disordered Systems
Conference proceedings info: StaMeClaDys 2018.
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Table of contents (11 papers)
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Front Matter
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Disordered Systems
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Front Matter
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About this book
These proceedings of the conference Advances in Statistical Mechanics, held in Marseille, France, August 2018, focus on fundamental issues of equilibrium and non-equilibrium dynamics for classical mechanical systems, as well as on open problems in statistical mechanics related to probability, mathematical physics, computer science, and biology.
Statistical mechanics, as envisioned more than a century ago by Boltzmann, Maxwell and Gibbs, has recently undergone stunning twists and developments which have turned this old discipline into one of the most active areas of truly interdisciplinary and cutting-edge research.
The contributions to this volume, with their rather unique blend of rigorous mathematics and applications, outline the state-of-the-art of this success story in key subject areas of equilibrium and non-equilibrium classical and quantum statistical mechanics of both disordered and non-disordered systems.
Aimed at researchers in the broad field of applied modern probability theory, this book, and in particular the review articles, will also be of interest to graduate students looking for a gentle introduction to active topics of current research.
Editors and Affiliations
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Aix-Marseille Université CNRS, Institut de Mathématiques de Marseille, Marseille, France
Véronique Gayrard
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Baruch College, CUNY, New York, USA
Louis-Pierre Arguin
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Goethe-Universität Frankfurt, Frankfurt am Main, Germany
Nicola Kistler
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Laboratoire de Probabilités, Pierre and Marie Curie University VI, Paris, France
Irina Kourkova
Bibliographic Information
Book Title: Statistical Mechanics of Classical and Disordered Systems
Book Subtitle: Luminy, France, August 2018
Editors: Véronique Gayrard, Louis-Pierre Arguin, Nicola Kistler, Irina Kourkova
Series Title: Springer Proceedings in Mathematics & Statistics
DOI: https://doi.org/10.1007/978-3-030-29077-1
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-29076-4Published: 16 September 2019
Softcover ISBN: 978-3-030-29079-5Published: 16 September 2020
eBook ISBN: 978-3-030-29077-1Published: 15 September 2019
Series ISSN: 2194-1009
Series E-ISSN: 2194-1017
Edition Number: 1
Number of Pages: X, 279
Number of Illustrations: 3 b/w illustrations, 15 illustrations in colour
Topics: Probability Theory and Stochastic Processes, Mathematical and Computational Biology, Mathematical Physics, Theoretical, Mathematical and Computational Physics, Thermodynamics