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Titlebook: Probability on Discrete Structures; Harry Kesten Book 2004 Springer-Verlag Berlin Heidelberg 2004 Markov chain.Random variable.first-passa

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书目名称Probability on Discrete Structures
编辑Harry Kesten
视频video
概述1st volume of a new probability subseries of EMS under the editorship of A.-S. Sznitman (ETH Zurich) and S.R.S. Varadhan (NYU).Written by outstanding probabilists who are professors at well-known univ
丛书名称Encyclopaedia of Mathematical Sciences
图书封面Titlebook: Probability on Discrete Structures;  Harry Kesten Book 2004 Springer-Verlag Berlin Heidelberg 2004 Markov chain.Random variable.first-passa
描述.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..
出版日期Book 2004
关键词Markov chain; Random variable; first-passage percolation; objective method in weak convergence theory; r
版次1
doihttps://doi.org/10.1007/978-3-662-09444-0
isbn_softcover978-3-642-05647-5
isbn_ebook978-3-662-09444-0Series ISSN 0938-0396
issn_series 0938-0396
copyrightSpringer-Verlag Berlin Heidelberg 2004
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The Objective Method: Probabilistic Combinatorial Optimization and Local Weak Convergence,method is part of weak convergence theory, but in concrete problems the method has a flavor of its own. A characteristic element of the method is that it often calls for one to introduce a new, infinite, probabilistic . whose . inform us about the . of a sequence of finite problems.
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The Random-Cluster Model,uding percolation, Ising, and Potts models; in addition, their study has impact on the theory of certain random combinatorial structures, and of electrical networks. Much (but not all) of the physical theory of Ising/Potts models is best implemented in the context of the random-cluster representatio
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Models of First-Passage Percolation, Envision a fluid injected into the material at a fixed site: as time elapses, the portion of the material that is wet expands in a manner that is a complicated function of the material’s random structure. In the standard FPP model, the spatial randomness of the material is represented by a family o
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Relaxation Times of Markov Chains in Statistical Mechanics and Combinatorial Structures,sure. In recent years, for models of statistical mechanics and of theoretical computer science, there has been a flourishing of new mathematical ideas and techniques to rigorously control the time it takes for the chain to equilibrate. This has provided a fruitful interaction between the two fields
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