Collisions of Random Walks in Dynamic Random Environments

Abstract

We study dynamic random conductance models on ${\mathbb{Z}}^2$ in which the environment evolves as a reversible Markov process that is stationary under space-time shifts. We prove under a second moment assumption that two conditionally independent random walks in the same environment collide infinitely often almost surely. These results apply in particular to random walks on dynamical percolation.