The growth of the infinite long-range percolation cluster

preprint2011arXivOpen access

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)=1−exp⁡[−λ(r)]∈(0,1)p(r)=1-\exp[-λ(r)]\in(0,1) and the presence or absence of different edges are independent. Here, λ(r)λ(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 k→∞k\to\infty, for different λ(r)λ(r). We show that conditioned on the origin being in the (unique) infinite cluster, nonempty classes of nonincreasing regularly varying λ(r)λ(r) exist, for which, respectively: ∙\bullet ∣Bk∣1/k→∞|\mathcal{B}_k|^{1/k}\to\infty almost surely; ∙\bullet there exist 1<a1<a2<∞1<a_1<a_2<\infty such that lim⁡k→∞P(a1<∣Bk∣1/k<a2)=1\lim_{k\to \infty}\mathbb{P}(a_1<|\mathcal{B}_k|^{1/k}<a_2)=1; ∙\bullet ∣Bk∣1/k→1|\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.

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