English

The polynomial growth of the infinite long-range percolation cluster

Probability 2025-09-11 v2

Abstract

We study independent long-range percolation on Zd\mathbb{Z}^d where the nearest-neighbor edges are always open and the probability that two vertices x,yx,y with xy>1\|x-y\|>1 are connected by an edge is proportional to βxys\frac{\beta}{\|x-y\|^s}, where β>0\beta>0 and s>0s> 0 are parameters. We show that the ball of radius kk centered at the origin in the graph metric grows polynomially if and only if s2ds\geq 2d. For the critical case s=2ds=2d, we show that the volume growth exponent is inversely proportional to the distance growth exponent. Furthermore, we provide sharp upper and lower bounds on the probability that the origin and ne1ne_1 are connected by a path of length kk in the critical case s=2ds=2d. We use these results to determine the Hausdorff dimension of the critical long-range percolation metric that was recently constructed by Ding, Fan, and Huang [14].

Keywords

Cite

@article{arxiv.2311.14352,
  title  = {The polynomial growth of the infinite long-range percolation cluster},
  author = {Johannes Bäumler},
  journal= {arXiv preprint arXiv:2311.14352},
  year   = {2025}
}

Comments

24 pages. Accepted in Annales de l'Institut Henri Poincare