Mixing times for a constrained Ising process on the torus at low density
Abstract
We study a kinetically constrained Ising process (KCIP) associated with a graph G and density parameter p; this process is an interacting particle system with state space . The stationary distribution of the KCIP Markov chain is the Binomial() distribution on the number of particles, conditioned on having at least one particle. The `constraint' in the name of the process refers to the rule that a vertex cannot change its state unless it has at least one neighbour in state `1'. The KCIP has been proposed by statistical physicists as a model for the glass transition, and more recently as a simple algorithm for data storage in computer networks. In this note, we study the mixing time of this process on the torus , , in the low-density regime for arbitrary ; this regime is the subject of a conjecture of Aldous and is natural in the context of computer networks. Our results provide a counterexample to Aldous' conjecture, suggest a natural modifcation of the conjecture, and show that this modifcation is correct up to logarithmic factors. The methods developed in this paper also provide a strategy for tackling Aldous' conjecture for other graphs.
Keywords
Cite
@article{arxiv.1501.05263,
title = {Mixing times for a constrained Ising process on the torus at low density},
author = {Natesh S. Pillai and Aaron Smith},
journal= {arXiv preprint arXiv:1501.05263},
year = {2015}
}