Strongly Vertex-Reinforced-Random-Walk on the complete graph
Probability
2013-10-08 v2
Abstract
We study Vertex-Reinforced-Random-Walk on the complete graph with weights of the form , with . Unlike for the Edge-Reinforced-Random-Walk, which in this case localizes a.s. on 2 sites, here we observe various phase transitions, and in particular localization on arbitrary large sets is possible, provided is close enough to 1. Our proof relies on stochastic approximation techniques. At the end of the paper, we also prove a general result ensuring that any strongly reinforced VRRW on any bounded degree graph localizes a.s. on a finite subgraph.
Cite
@article{arxiv.1208.6375,
title = {Strongly Vertex-Reinforced-Random-Walk on the complete graph},
author = {Michel Benaïm and Olivier Raimond and Bruno Schapira},
journal= {arXiv preprint arXiv:1208.6375},
year = {2013}
}
Comments
19 pp