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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.
Springer Nature - Springer Mathematics and Statistics (R0) eBooks 2014 English International Available online
View online- Format:
- Book
- Conference/Event
- Author/Creator:
- Kumagai, Takashi., Author.
- Conference Name:
- Ecole d'été de probabilités de Saint-Flour (40th : 2010)
- Series:
- École d'Été de Probabilités de Saint-Flour ; 2101
- Language:
- English
- Subjects (All):
- Probabilities.
- Mathematical physics.
- Potential theory (Mathematics).
- Discrete mathematics.
- Probability Theory.
- Mathematical Physics.
- Potential Theory.
- Discrete Mathematics.
- Local Subjects:
- Probability Theory.
- Mathematical Physics.
- Potential Theory.
- Discrete Mathematics.
- Physical Description:
- 1 online resource (X, 147 p. 5 illus.)
- Edition:
- 1st ed. 2014.
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2014.
- Language Note:
- English
- Summary:
- 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.
- Contents:
- 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.
- Notes:
- These are notes from a series of eight lectures given at the Saint-Flour Probability Summer School, July 4-17, 2010 -- Page vii.
- Includes bibliographical references (pages 135-143) and index.
- ISBN:
- 3-319-03152-X
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