Probability on discrete structures
Author(s)
Bibliographic Information
Probability on discrete structures
(Encyclopaedia of mathematical sciences / editor-in-chief, R.V. Gamkrelidze, v. 110 . Probability theory ; 1)
Springer, c2004
Available at / 86 libraries
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Library, Research Institute for Mathematical Sciences, Kyoto University数研
C||Probability-1203045899
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Hokkaido University, Library, Graduate School of Science, Faculty of Science and School of Science図書
DC21:519.2/K4892070597732
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
Most probability problems involve random variables indexed by space and/or time. These problems almost always have a version in which space and/or time are taken to be discrete. This volume deals with areas in which the discrete version is more natural than the continuous one, perhaps even the only one than can be formulated without complicated constructions and machinery.
The 5 papers of this volume discuss problems in which there has been significant progress in the last few years; they are motivated by, or have been developed in parallel with, statistical physics. They include questions about asymptotic shape for stochastic growth models and for random clusters; existence, location and properties of phase transitions; speed of convergence to equilibrium in Markov chains, and in particular for Markov chains based on models with a phase transition; cut-off phenomena for random walks.
The articles can be read independently of each other. Their unifying theme is that of models built on discrete spaces or graphs. Such models are often easy to formulate. Correspondingly, the book requires comparatively little previous knowledge of the machinery of probability.
Table of Contents
The Objective Method: Probabilistic Combinatorial Optimization and Local Weak Convergence.- The Random-Cluster Model.- Models of First-Passage Percolation.- Relaxation Times of Markov Chains in Statistical Mechanics and Combinatorial Structures.- Random Walks on Finite Groups.
by "Nielsen BookData"