Methods of Contemporary Mathematical Statistical Physics Methods of Contemporary Mathematical Statistical Physics
Lecture Notes in Mathematics

Methods of Contemporary Mathematical Statistical Physics

Marek Biskup und andere
    • 47,99 €
    • 47,99 €

Beschreibung des Verlags

This volume presents a collection of courses introducing the reader to the recent progress with attention being paid to laying solid grounds and developing various basic tools.
An introductory chapter on lattice spin models is useful as a background for other lectures of the collection.
The topics include new results on phase transitions for gradient lattice models (with introduction to the techniques of the reflection positivity), stochastic geometry reformulation of classical and quantum Ising models, the localization/delocalization transition for directed polymers.
A general rigorous framework for theory of metastability is presented and particular applications in the context of Glauber and Kawasaki dynamics of lattice models are discussed.
A pedagogical account of several recently discussed topics in nonequilibrium statistical mechanics with an emphasis on general principles is followed by a discussion of kinetically constrained spin models that are reflecting important peculiar features of glassy dynamics.

GENRE
Wissenschaft und Natur
ERSCHIENEN
2009
31. Juli
SPRACHE
EN
Englisch
UMFANG
360
Seiten
VERLAG
Springer Berlin Heidelberg
GRÖSSE
12,4
 MB

Mehr Bücher von Marek Biskup, Roman Kotecký, Anton Bovier, Frank den Hollander, Dima Ioffe, Fabio Martinelli, Karel Netočný & Christina Toninelli

Andere Bücher in dieser Reihe

The Ricci Flow in Riemannian Geometry The Ricci Flow in Riemannian Geometry
2010
Information Geometry Information Geometry
2008
Mathematical Theory of Feynman Path Integrals Mathematical Theory of Feynman Path Integrals
2008
Rank 2 Amalgams and Fusion Systems Rank 2 Amalgams and Fusion Systems
2024
CAT(0) Cube Complexes CAT(0) Cube Complexes
2024
Numerical Approximations of Stochastic Maxwell Equations Numerical Approximations of Stochastic Maxwell Equations
2024