Statistical Mechanics of Disordered Systems
This self-contained book is a graduate-level introduction for mathematicians and for physicists interested in the mathematical foundations of the field, and can be used as a textbook for a two-semester course on mathematical statistical mechanics. It assumes only basic knowledge of classical physics and, on the mathematics side, a good working knowledge of graduate-level probability theory. The book starts with a concise introduction to statistical mechanics, proceeds to disordered lattice spin systems, and concludes with a presentation of the latest developments in the mathematical understanding of mean-field spin glass models. In particular, progress towards a rigorous understanding of the replica symmetry-breaking solutions of the Sherrington-Kirkpatrick spin glass models, due to Guerra, Aizenman-Sims-Starr and Talagrand, is reviewed in some detail.
- Comprehensive introduction to an active and fascinating area of research
- Clear exposition that builds to the state of the art in the mathematics of spin glasses
- Written by a well-known and active researcher in the field
Reviews & endorsements
"This book grew out of lecture notes and courses, and was prepared and polished over the last six years. Long-awaited, it is carefully prepared in a pedagogical style, with selected themes and progressive difficulty. It presents a broad overview of the field with modern tools and elaborate techniques, culminating with deep results and fascinating pictures. However, the author succeeds in also making it nice to read and easy to handle, keeping the style as direct as possible..."
Francis Comets, Mathematical Reviews
Product details
July 2012Paperback
9781107405332
328 pages
254 × 178 × 17 mm
0.57kg
Available
Table of Contents
- Preface
- Part I. Statistical Mechanics:
- 1. Introduction
- 2. Principles of statistical mechanics
- 3. Lattice gases and spin systems
- 4. Gibbsian formalism
- 5. Cluster expansions
- Part II. Disordered Systems: Lattice Models:
- 6. Gibbsian formalism and metastates
- 7. The random field Ising model
- Part III: Disordered Systems: Mean Field Models:
- 8. Disordered mean field models
- 9. The random energy model
- 10. Derrida's generalised random energy models
- 11. The SK models and the Parisi solution
- 12. Hopfield models
- 13. The number partitioning problem
- Bibliography
- Index of notation
- Index.