Symmetric Markov chains in ℤd: How fast can they move?

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Abstract

Consider a reversible Markov chain Xnwhich takes values in a subset of ℤd. If the steps of the chain are uniformly bounded and the invariant measure satisfies a mild regularity condition, Varopoulos, Carne and Kesten have obtained estimates on {Mathematical expression} which exhibit a Gaussian tail in λ but blow up as n→∞. Following Kesten's approach we derive bounds which are uniform in n in some special cases. Our main result, however, is an example which shows that in general the estimates of Varopoulos, Carne and Kesten are essentially best possible. © 1989 Springer-Verlag.

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APA

Barlow, M. T., & Perkins, E. A. (1989). Symmetric Markov chains in ℤd: How fast can they move? Probability Theory and Related Fields, 82(1), 95–108. https://doi.org/10.1007/BF00340013

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