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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)
版 | 1st ed. 2014. |
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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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電子ブック | 配架場所 | 資料種別 | 巻 次 | 請求記号 | 状 態 | 予約 | コメント | ISBN | 刷 年 | 利用注記 | 指定図書 | 登録番号 |
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電子ブック | オンライン | 電子ブック |
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Springer eBooks | 9783319031521 |
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EB00211280 |
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データ種別 | 電子ブック |
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分 類 | LCC:QA273.A1-274.9 DC23:519.2 |
書誌ID | 4000117993 |
ISBN | 9783319031521 |
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※2017年9月4日以降