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Bootstrap percolation on the random regular graph

Balogh, József, Pittel, Boris G.·2007·Random Structures & Algorithms

Abstract

The k‐parameter bootstrap percolation on a graph is a model of an interacting particle system, which can also be viewed as a variant of a cellular automaton growth process with threshold k ≥ 2. At the start, each of the graph vertices is active with probability p and inactive with probability 1 − p, independently of other vertices. Presence of active vertices triggers a bootstrap percolation process controlled by a recursive rule: an active vertex remains active forever, and a currently inactive vertex becomes active when at least k of its neighbors are active. The basic problem is to identify, for a given graph, p− and p+ such that for p < p− (p > p+ resp.) the probability that all vertices are eventually active is very close to 0 (1 resp.). The bootstrap percolation process is a deterministic process on the space of subsets of the vertex set, which is easy to describe but hard to analyze rigorously in general. We study the percolation on the random d‐regular graph, d ≥ 3, via analysis of the process on the multigraph counterpart of the graph. Here, thanks to a “principle of deferred decisions,” the percolation dynamics is described by a surprisingly simple Markov chain. Its generic state is formed by the counts of currently active and nonactive vertices having various degrees of activation capabilities. We replace the chain by a deterministic dynamical system, and use its integrals to show—via exponential supermartingales—that the percolation process undergoes relatively small fluctuations around the deterministic trajectory. This allows us to show existence of the phase transition within an interval [p−(n),p+(n)], such that (1) p±(n) → p* = 1 − miny∈(0,1)y/ℙ(Bin(d − 1,1 − y) < k); (2) p+(n) − p−(n) is of order n−1/2 for k < d − 1, and n, (εn ↓ 0,εn log n →∞), for k = d − 1. Note that p* is the same as the critical probability of the process on the corresponding infinite regular tree. © 2006 Wiley Periodicals, Inc. Random Struct. Alg., 30, 257–286, 2007

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Metadata

Authors
Balogh, J., & Pittel, B. G.
Venue
Random Structures & Algorithms
Publisher
Wiley
Published
2006-12-13
Volume
30
Issue
1-2
Pages
257-286
ISSN
  • 1042-9832 (ISSN-L)
  • 1098-2418
OpenAlex
W2093333397
Cited by
172
References
2
FWCI
7.65
Type
journal article
Language
en
Open access
closed

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Balogh, J., & Pittel, B. G. (2007). Bootstrap percolation on the random regular graph. Random Structures & Algorithms. https://doi.org/10.1002/rsa.20158

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