We study limit laws for simple random walks on supercritical long-range percolation clusters on Zd, d ≥ 1. For the long range percolation model, the probability that two vertices x,y are connected behaves asymptotically as ||x - y||-s 2 . When s ∈ (d, d + 1), we prove that the scaling limit of simple random walk on the infinite component converges to an α-stable Lévy process with α = 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.
|Original language||English (US)|
|Number of pages||58|
|Journal||Annals of Probability|
|State||Published - Mar 2013|
All Science Journal Classification (ASJC) codes
- Statistics and Probability
- Statistics, Probability and Uncertainty
- Long rang percolation
- Random walk in random environment
- Stable process.