Random walks, random fields, and disordered systems
Author(s)
Bibliographic Information
Random walks, random fields, and disordered systems
（Lecture notes in mathematics, 2144）
Springer, c2015
Available at / 46 libraries
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Library, Research Institute for Mathematical Sciences, Kyoto University数研
L/N||LNM||2144200033872460
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Other authors: David Brydges, Amin Coja-Oghlan, Dmitry Ioffe, Gregory F. Lawler
Includes bibliographical references and index
Description and Table of Contents
Description
Focusing on the mathematics that lies at the intersection of probability theory, statistical physics, combinatorics and computer science, this volume collects together lecture notes on recent developments in the area. The common ground of these subjects is perhaps best described by the three terms in the title: Random Walks, Random Fields and Disordered Systems. The specific topics covered include a study of Branching Brownian Motion from the perspective of disordered (spin-glass) systems, a detailed analysis of weakly self-avoiding random walks in four spatial dimensions via methods of field theory and the renormalization group, a study of phase transitions in disordered discrete structures using a rigorous version of the cavity method, a survey of recent work on interacting polymers in the ballisticity regime and, finally, a treatise on two-dimensional loop-soup models and their connection to conformally invariant systems and the Gaussian Free Field. The notes are aimed at early graduate students with a modest background in probability and mathematical physics, although they could also be enjoyed by seasoned researchers interested in learning about recent advances in the above fields.
Table of Contents
Anton Bovier: From spin glasses to branching Brownian motion - and back?.- David Brydges: The Renormalization Group and Self-AvoidingWalk.- Amin Coja-Oghlan: Phase Transitions in Discrete Structures.- Dmitry Ioffe: Multidimensional Random Polymers : A Renewal Approach.- Gregory F. Lawler and Jacob Perlman: Loop measures and the Gaussian free field.
by "Nielsen BookData"