English

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 w(n)=nαw(n)=n^\alpha, with α>1\alpha>1. 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 α\alpha 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.

Keywords

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

R2 v1 2026-06-21T21:57:45.050Z