Abstract
In this chapter, we discuss general potential theory for symmetric (reversible) Markov chains on weighted graphs. Note that there are many nice books and lecture notes that treat potential theory and/or Markov chains on graphs, for example [7, 20, 93, 118, 125, 175, 195, 204, 211]. While writing this chapter, we are largely influenced by the lecture notes by Barlow [20].
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References
D. Aldous, J. Fill, Reversible Markov Chains and Random Walks on Graphs (Book in preparation), http://www.stat.berkeley.edu/~aldous/RWG/book.html
M.T. Barlow, Random Walks on Graphs (Cambridge University Press, to appear)
R.F. Bass, A stability theorem for elliptic Harnack inequalities. J. Eur. Math. Soc. 17, 856–876 (2013)
I. Benjamini, Instability of the Liouville property for quasi-isometric graphs and manifolds of polynomial volume growth. J. Theor. Probab. 4, 631–637 (1991)
B. Bollobás, Random Graphs, 2nd edn. (Cambridge University Press, Cambridge, 2001)
Z.-Q. Chen, M. Fukushima, Symmetric Markov Processes, Time Change, and Boundary Theory (Princeton University Press, Princeton, 2011)
T. Coulhon, L. Saloff-Coste, Variétés riemanniennes isométriques à l’infini. Rev. Mat. Iberoam. 11, 687–726 (1995)
P.G. Doyle, J.L. Snell, Random Walks and Electric Networks (Mathematical Association of America, Washington, 1984). ArXiv:math/0001057
M. Fukushima, Y. Oshima, M. Takeda, Dirichlet Forms and Symmetric Markov Processes (de Gruyter, Berlin, 1994)
A. Grigor’yan, Analysis on Graphs (2012). http://www.math.uni-bielefeld.de/~grigor/aglect.pdf
M. Gromov, Hyperbolic manifolds, groups and actions, in Riemann Surfaces and Related Topics: Proceedings of the 1978 Stony Brook Conference, State University of New York, Stony Brook, 1978. Annals of Mathematics Studies, vol. 97 (Princeton University Press, Princeton, 1981), pp. 183–213
A. Guionnet, B. Zegarlinksi, Lectures on logarithmic Sobolev inequalities, in Séminaire de Probabilités XXXVI. Lecture Notes in Mathematics, vol. 1801 (Springer, Berlin, 2003), pp. 1–134
B.M. Hambly, T. Kumagai, Heat kernel estimates for symmetric random walks on a class of fractal graphs and stability under rough isometries, in Fractal Geometry and Applications: A Jubilee of B. Mandelbrot, Proceedings of Symposia in Pure Mathematics, vol. 72, Part 2 (American Mathematical Society, Providence, 2004), pp. 233–260
M. Kanai, Rough isometries, and combinatorial approximations of geometries of non-compact riemannian manifolds. J. Math. Soc. Jpn. 37, 391–413 (1985)
M. Kanai, Analytic inequalities, and rough isometries between non-compact riemannian manifolds, in Lecture Notes in Mathematics, vol. 1201 (Springer, Berlin, 1986), pp. 122–137
J. Kigami, Resistance forms, quasisymmetric maps and heat kernel estimates. Mem. Amer. Math. Soc. 216(1015), vi+132 pp. (2012)
R. Lyons, Y. Peres, Probability on Trees and Networks (Book in preparation), http://mypage.iu.edu/~rdlyons/prbtree/prbtree.html
T. Lyons, Instability of the Liouville property for quasi-isometric Riemannian manifolds and reversible Markov chains. J. Differ. Geom. 26, 33–66 (1987)
J. Norris, Markov Chains (Cambridge University Press, Cambridge, 1998)
L. Saloff-Coste, Lectures on finite Markov chains, in Ecole d’Eté de Probabilités de Saint-Flour XXVI-1996. Lecture Notes in Mathematics, vol. 1665 (Springer, Berlin, 1997), pp. 301–413
P.M. Soardi, Potential Theory on Infinite Networks. Lecture Notes in Mathematics, vol. 1590 (Springer, Berlin, 1994)
W. Woess, in Random Walks on Infinite Graphs and Groups (Cambridge University Press, Cambridge, 2000)
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Kumagai, T. (2014). Weighted Graphs and the Associated Markov Chains. In: Random Walks on Disordered Media and their Scaling Limits. Lecture Notes in Mathematics(), vol 2101. Springer, Cham. https://doi.org/10.1007/978-3-319-03152-1_2
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