Slow Convergence in Bootstrap Percolation

dc.creatorGravner, Janko
dc.creatorHolroyd, Alexander E.
dc.date2007-05-09
dc.date.accessioned2026-07-07T08:00:26Z
dc.date.available2026-07-07T08:00:26Z
dc.descriptionIn the bootstrap percolation model, sites in an L by L square are initially infected independently with probability p. At subsequent steps, a healthy site becomes infected if it has at least 2 infected neighbours. As (L,p)->(infinity,0), the probability that the entire square is eventually infected is known to undergo a phase transition in the parameter p log L, occurring asymptotically at lambda = pi^2/18. We prove that the discrepancy between the critical parameter and its limit lambda is at least Omega((log L)^(-1/2)). In contrast, the critical window has width only Theta((log L)^(-1)). For the so-called modified model, we prove rigorous explicit bounds which imply for example that the relative discrepancy is at least 1% even when L = 10^3000. Our results shed some light on the observed differences between simulations and rigorous asymptotics.
dc.description22 pages, 3 figures
dc.identifierhttps://arxiv.org/abs/0705.1347
dc.identifierhttp://arxiv.org/abs/0705.1347
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/128667
dc.subjectProbability
dc.subjectMathematical Physics
dc.subject60K35; 82B43
dc.titleSlow Convergence in Bootstrap Percolation
dc.typetext

Files

Collections