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The growth of the infinite long-range percolation cluster

Abstract

We consider long-range percolation on Zd\mathbb{Z}^d, where the probability that two vertices at distance rr are connected by an edge is given by p(r)=1exp[λ(r)](0,1)p(r)=1-\exp[-\lambda(r)]\in(0,1) and the presence or absence of different edges are independent. Here, λ(r)\lambda(r) is a strictly positive, nonincreasing, regularly varying function. We investigate the asymptotic growth of the size of the kk-ball around the origin, Bk|\mathcal{B}_k|, that is, the number of vertices that are within graph-distance kk of the origin, for kk\to\infty, for different λ(r)\lambda(r). We show that conditioned on the origin being in the (unique) infinite cluster, nonempty classes of nonincreasing regularly varying λ(r)\lambda(r) exist, for which, respectively: \bullet Bk1/k|\mathcal{B}_k|^{1/k}\to\infty almost surely; \bullet there exist 1<a1<a2<1<a_1<a_2<\infty such that limkP(a1<Bk1/k<a2)=1\lim_{k\to \infty}\mathbb{P}(a_1<|\mathcal{B}_k|^{1/k}<a_2)=1; \bullet Bk1/k1|\mathcal{B}_k|^{1/k}\to1 almost surely. This result can be applied to spatial SIR epidemics. In particular, regimes are identified for which the basic reproduction number, R0R_0, which is an important quantity for epidemics in unstructured populations, has a useful counterpart in spatial epidemics.Comment: 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

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