arXiv:math/0702100 [math.PR]AbstractReferencesReviewsResources
Random walk in Markovian environment
Dmitry Dolgopyat, Gerhard Keller, Carlangelo Liverani
Published 2007-02-05, updated 2008-09-24Version 2
We prove a quenched central limit theorem for random walks with bounded increments in a randomly evolving environment on $\mathbb{Z}^d$. We assume that the transition probabilities of the walk depend not too strongly on the environment and that the evolution of the environment is Markovian with strong spatial and temporal mixing properties.
Comments: Published in at http://dx.doi.org/10.1214/07-AOP369 the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Journal: Annals of Probability 2008, Vol. 36, No. 5, 1676-1710
DOI: 10.1214/07-AOP369
Keywords: random walk, markovian environment, quenched central limit theorem, temporal mixing properties, transition probabilities
Tags: journal article
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