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The Metastability Threshold for Modified Bootstrap Percolation in d Dimensions (2006)

Abstract
In the modified bootstrap percolation model, sites in the cube {1,...,L}d are initially declared active independently with probability p. At subsequent steps, an inactive site becomes active if it has at least one active nearest neighbour in each of the d dimensions, while an active site remains active forever. We study the probability that the entire cube is eventually active. For all d ≥ 2 we prove that as L -> ∞ and p -> 0 simultaneously, this probability converges to 1 if L ≥ exp...exp [(λ+ε)/p], and converges to 0 if L ≤ exp...exp [(λ-ε)/p], for any ε > 0. Here the exponential function is iterated d-1 times, and the threshold λ equals π2/6 for all d.

Publication details
Publisher Institute of Mathematical Statistics
Contributors Funded in part by an NSERC (Canada) Discovery Grant, and by MSRI (Berkeley USA)
Repository Electronic Journal of Probability (United States)
Keywords 60K35; 82B43; bootstrap percolation; cellular automaton; metastability; finite-size scaling
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