SIMPLE RANDOM WALK ON LONG-RANGE PERCOLATION CLUSTERS II: SCALING LIMITS

We study limit laws for simple random walks on supercritical long-range percolation clusters on Z(d), d >= 1. For the long range percolation model, the probability that two vertices x, y are connected behaves asymptotically as parallel to x - y parallel to(-s)(2). When s is an element of (d, d + 1), we prove that the scaling limit of simple random walk on the infinite component converges to an a-stable Levy process with alpha = s - d establishing a conjecture of Berger and Biskup [Probab. Theory Related Fields 137 (2007) 83-120]. The convergence holds in both the quenched and annealed senses. In the case where d = 1 and s > 2 we show that the simple random walk converges to a Brownian motion. The proof combines heat kernel bounds from our companion paper [Crawford and Sly Probab. Theory Related Fields 154 (2012) 753-786], ergodic theory estimates and an involved coupling constructed through the exploration of a large number of walks on the cluster.