The time of bootstrap percolation with dense initial sets for all thresholds

preprint2013arXivOpen access

Abstract

We study the percolation time of the rr-neighbour bootstrap percolation model on the discrete torus (Z/nZ)d(\Z/n\Z)^d. For tt at most a polylog function of nn and initial infection probabilities within certain ranges depending on tt, we prove that the percolation time of a random subset of the torus is exactly equal to tt with high probability as nn tends to infinity. Our proof rests crucially on three new extremal theorems that together establish an almost complete understanding of the geometric behaviour of the rr-neighbour bootstrap process in the dense setting. The special case d−r=0d-r=0 of our result was proved recently by Bollobás, Holmgren, Smith and Uzzell.

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