English

Sharp Metastability Threshold for Two-Dimensional Bootstrap Percolation

Probability 2007-05-23 v1 Mathematical Physics math.MP

Abstract

In the bootstrap percolation model, sites in an LL by LL square are initially independently declared active with probability pp. At each time step, an inactive site becomes active if at least two of its four neighbours are active. We study the behaviour as p0p \to 0 and LL \to \infty simultaneously of the probability I(L,p)I(L,p) that the entire square is eventually active. We prove that I(L,p)1I(L,p) \to 1 if lim infplogL>λ\liminf p \log L > \lambda, and I(L,p)0I(L,p) \to 0 if lim supplogL<λ\limsup p \log L < \lambda, where λ=π2/18\lambda = \pi^2/18. We prove the same behaviour, with the same threshold λ\lambda, for the probability J(L,p)J(L,p) that a site is active by time LL in the process on the infinite lattice. The same results hold for the so-called modified bootstrap percolation model, but with threshold λ=π2/6\lambda' = \pi^2/6. The existence of the thresholds λ,λ\lambda,\lambda' settles a conjecture of Aizenman and Lebowitz, while the determination of their values corrects numerical predictions of Adler, Stauffer and Aharony.

Keywords

Cite

@article{arxiv.math/0206132,
  title  = {Sharp Metastability Threshold for Two-Dimensional Bootstrap Percolation},
  author = {Alexander E. Holroyd},
  journal= {arXiv preprint arXiv:math/0206132},
  year   = {2007}
}