arXiv Analytics

Sign in

arXiv:math/9907196 [math.PR]AbstractReferencesReviewsResources

Vertex-reinforced random walk on arbitrary graphs

Stanislov Volkov

Published 1999-07-23Version 1

Vertex-Reinforced Random Walk (VRRW), defined by Pemantle (1988a), is a random process in a continuously changing environment which is more likely to visit states it has visited before. We consider VRRW on arbitrary graphs and show that on almost all of them, VRRW visits only finitely many vertices with a positive probability. We conjecture that on all graphs of bounded degree, this happens a.s., and provide a proof only for trees of this type. We distinguish between several different patterns of localization and explicitly describe the long-run structure of VRRW, which depends on whether a graph contains triangles or not. While the results of this paper generalize those obtained by Pemantle and Volkov (1998) for Z,ideas of proofs are different and typically based on a large deviation principle rather than a martingale approach.

Related articles: Most relevant | Search more
arXiv:1204.3501 [math.PR] (Published 2012-04-16, updated 2012-05-10)
Large Deviation Principle for Some Measure-Valued Processes
arXiv:0904.0547 [math.PR] (Published 2009-04-03)
A Large Deviation Principle for Martingales over Brownian Filtration
arXiv:1407.2457 [math.PR] (Published 2014-07-09)
Asymptotic description of stochastic neural networks. I - existence of a Large Deviation Principle