The growth of the infinite long-range percolation cluster
Abstract
We consider long-range percolation on , where the probability that two vertices at distance are connected by an edge is given by and the presence or absence of different edges are independent. Here, is a strictly positive, nonincreasing, regularly varying function. We investigate the asymptotic growth of the size of the -ball around the origin, , that is, the number of vertices that are within graph-distance of the origin, for , for different . We show that conditioned on the origin being in the (unique) infinite cluster, nonempty classes of nonincreasing regularly varying exist, for which, respectively: almost surely; there exist such that ; almost surely. This result can be applied to spatial SIR epidemics. In particular, regimes are identified for which the basic reproduction number, , which is an important quantity for epidemics in unstructured populations, has a useful counterpart in spatial epidemics.
Keywords
Cite
@article{arxiv.0901.0661,
title = {The growth of the infinite long-range percolation cluster},
author = {Pieter Trapman},
journal= {arXiv preprint arXiv:0901.0661},
year = {2011}
}
Comments
Published in at http://dx.doi.org/10.1214/09-AOP517 the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org)