arXiv Analytics

Sign in

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
Categories: math.PR, math.DS
Subjects: 60K37, 60K35, 60F05, 37H99, 82B41, 82B44
Related articles: Most relevant | Search more
arXiv:0804.3497 [math.PR] (Published 2008-04-22)
Random Walk in deterministically changing environment
arXiv:1704.06072 [math.PR] (Published 2017-04-20)
Quenched Central Limit Theorem for Random Walks in Doubly Stochastic Random Environment
arXiv:1212.4447 [math.PR] (Published 2012-12-18, updated 2013-05-14)
Crossing speeds of random walks among "sparse" or "spiky" Bernoulli potentials on integers