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Random Walks on Disordered Media and their Scaling Limits : École d'Été de Probabilités de Saint-Flour XL - 2010 / by Takashi Kumagai
(École d'Été de Probabilités de Saint-Flour ; 2101)

1st ed. 2014.
出版者 (Cham : Springer International Publishing : Imprint: Springer)
出版年 2014
大きさ X, 147 p. 5 illus : online resource
著者標目 *Kumagai, Takashi author
SpringerLink (Online service)
件 名 LCSH:Probabilities
LCSH:Mathematical physics
LCSH:Potential theory (Mathematics)
LCSH:Discrete mathematics
FREE:Probability Theory
FREE:Mathematical Physics
FREE:Potential Theory
FREE:Discrete Mathematics
一般注記 Introduction -- Weighted graphs and the associated Markov chains -- Heat kernel estimates – General theory -- Heat kernel estimates using effective resistance -- Heat kernel estimates for random weighted graphs -- Alexander-Orbach conjecture holds when two-point functions behave nicely -- Further results for random walk on IIC -- Random conductance model
In these lecture notes, we will analyze the behavior of random walk on disordered media by means of both probabilistic and analytic methods, and will study the scaling limits. We will focus on the discrete potential theory and how the theory is effectively used in the analysis of disordered media. The first few chapters of the notes can be used as an introduction to discrete potential theory.   Recently, there has been significant progress on the theory of random walk on disordered media such as fractals and random media. Random walk on a percolation cluster (‘the ant in the labyrinth’) is one of the typical examples. In 1986, H. Kesten showed the anomalous behavior of a random walk on a percolation cluster at critical probability. Partly motivated by this work, analysis and diffusion processes on fractals have been developed since the late eighties. As a result, various new methods have been produced to estimate heat kernels on disordered media. These developments are summarized in the notes
HTTP:URL=https://doi.org/10.1007/978-3-319-03152-1
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Springer eBooks 9783319031521
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データ種別 電子ブック
分 類 LCC:QA273.A1-274.9
DC23:519.2
書誌ID 4000117993
ISBN 9783319031521

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