Percolation on the stationary distributions of the voter model with stirring

Jhon Astoquillca, Réka Szabó, Daniel Valesin

Published 2024-12-12Version 1

The voter model with stirring is a variant of the classical voter model with two possible opinions (0 and 1) that allows voters to interchange opinions at rate $\mathsf{v} \ge 0$. In [Astoquillca,24], it was proved that for this model on $\mathbb Z^d$ for $d \ge 3$ and any $\mathsf{v}$, the set of extremal stationary measures is given by a family $\{ \mu_{\alpha,\mathsf{v}}: \alpha \in [0,1] \}$, where $\alpha$ is the density of voters with opinion 1. Sampling a configuration $\xi$ from $\mu_{\alpha, \mathsf v}$, we study $\xi$ as a site percolation model on $\mathbb Z^d$ where the set of occupied sites is the set of voters with opinion 1 in $\xi$. Letting $\alpha_c(\mathsf v)$ be the supremum of all the values of $\alpha$ for which percolation does not occur $\mu_{\alpha, \mathsf v}$-a.s., we prove that $\alpha_c(\mathsf{v})$ converges to $p_c$, the critical density for classical Bernoulli site percolation, as $\mathsf{v}$ tends to infinity. As a consequence, for $\mathsf v$ large enough, the probability of the existence of an infinite percolation cluster of 1's exhibits a phase transition in $\alpha$.