Cluster-size decay in supercritical long-range percolation
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Publication:6509009
arXiv2303.00712MaRDI QIDQ6509009
Júlia Komjáthy, Joost Jorritsma, Dieter Mitsche
Abstract: We study the cluster-size distribution of supercritical long-range percolation on , where two vertices are connected by an edge with probability for parameters , , and . We show that when , and either or is sufficiently large, the probability that the origin is in a finite cluster of size at least decays as . This corresponds to classical results for nearest-neighbor Bernoulli percolation on , but is in contrast to long-range percolation with , when the exponent of the stretched exponential decay changes to . This result, together with our accompanying paper establishes the phase diagram of long-range percolation with respect to cluster-size decay. Our proofs rely on combinatorial methods that show that large delocalized components are unlikely to occur. As a side result we determine the asymptotic growth of the second-largest connected component when the graph is restricted to a finite box.
Interacting random processes; statistical mechanics type models; percolation theory (60K35) Combinatorial probability (60C05)
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