English

High-dimensional bootstrap processes in evolving simplicial complexes

Probability 2019-10-23 v1

Abstract

We study bootstrap percolation processes on random simplicial complexes of some fixed dimension d3d \geq 3. Starting from a single simplex of dimension dd, we build our complex dynamically in the following fashion. We introduce new vertices one by one, all equipped with a random weight from a fixed distribution μ\mu. The newly arriving vertex selects an existing (d1)(d-1)-dimensional face at random, with probability proportional to some positive and symmetric function ff of the weights of its vertices, and attaches to it by forming a dd-dimensional simplex. After a complex on nn vertices is constructed, we infect every vertex independently at random with some probability p=p(n)p = p(n). Then, in consecutive rounds, we infect every healthy vertex the neighbourhood of which contains at least rr disjoint (k1)(k-1)-dimensional, fully infected faces. Using a reduction to the generalised P\'olya urn schemes, we determine the value of critical probability pc=pc(n;μ,f)p_c = p_c (n; \mu, f), such that if ppcp \gg p_c then, with probability tending to 1 as nn \to \infty, the infection spreads to the whole vertex set of the complex, while if ppcp \ll p_c then the infection process stops with healthy vertices remaining in the complex.

Keywords

Cite

@article{arxiv.1910.10139,
  title  = {High-dimensional bootstrap processes in evolving simplicial complexes},
  author = {Nikolaos Fountoulakis and Michał Przykucki},
  journal= {arXiv preprint arXiv:1910.10139},
  year   = {2019}
}

Comments

25 pages

R2 v1 2026-06-23T11:51:41.279Z