English

Contagious sets in a degree-proportional bootstrap percolation process

Combinatorics 2018-04-03 v2 Probability

Abstract

We study the following bootstrap percolation process: given a connected graph GG, a constant ρ[0,1]\rho \in [0, 1] and an initial set AV(G)A \subseteq V(G) of \emph{infected} vertices, at each step a vertex~vv becomes infected if at least a ρ\rho-proportion of its neighbours are already infected (once infected, a vertex remains infected forever). Our focus is on the size hρ(G)h_\rho(G) of a smallest initial set which is \emph{contagious}, meaning that this process results in the infection of every vertex of GG. Our main result states that every connected graph GG on nn vertices has hρ(G)<2ρnh_\rho(G) < 2\rho n or hρ(G)=1h_\rho(G) = 1 (note that allowing the latter possibility is necessary because of the case ρ12n\rho\leq\tfrac{1}{2n}, as every contagious set has size at least one). This is the best-possible bound of this form, and improves on previous results of Chang and Lyuu and of Gentner and Rautenbach. We also provide a stronger bound for graphs of girth at least five and sufficiently small ρ\rho, which is asymptotically best-possible.

Keywords

Cite

@article{arxiv.1610.06144,
  title  = {Contagious sets in a degree-proportional bootstrap percolation process},
  author = {Frederik Garbe and Andrew McDowell and Richard Mycroft},
  journal= {arXiv preprint arXiv:1610.06144},
  year   = {2018}
}

Comments

14 pages, 1 figure

R2 v1 2026-06-22T16:25:43.170Z