English

Bootstrap percolation in Ore-type graphs

Combinatorics 2019-09-11 v1

Abstract

The rr-neighbour bootstrap process describes an infection process on a graph, where we start with a set of initially infected vertices and an uninfected vertex becomes infected as soon as it has rr infected neighbours. An inital set of infected vertices is called percolating if at the end of the bootstrap process all vertices are infected. We give Ore-type conditions that guarantee the existence of a small percolating set of size l2r2l\leq 2r-2 if the number of vertices nn of our graph is sufficiently large: if lrl\geq r and satisfies 2rl+22(lr)+0.25+2.512r \geq l+2 \lfloor \sqrt{2(l-r)+0.25}+2.5 \rfloor-1 then there exists a percolating set of size ll for every graph in which any two non-adjacent vertices xx and yy satisfy deg(x)+deg(y)n+4r2l22(lr)+0.25+2.51deg(x)+deg(y) \geq n+4r-2l-2\lfloor\sqrt{2(l-r)+0.25}+2.5 \rfloor-1 and if ll is larger with l2r2l\leq 2r-2 there exists a percolating set of size ll if deg(x)+deg(y)n+2rl2deg(x)+deg(y) \geq n+2r-l-2. Our results extend the work of Gunderson, who showed that a graph with minimum degree n/2+r3\lfloor n/2 \rfloor+r-3 has a percolating set of size r4r \geq 4. We also give bounds for arbitrarily large ll in the minimum degree setting.

Keywords

Cite

@article{arxiv.1909.04649,
  title  = {Bootstrap percolation in Ore-type graphs},
  author = {Alexandra Wesolek},
  journal= {arXiv preprint arXiv:1909.04649},
  year   = {2019}
}

Comments

26 pages, 5 figures

R2 v1 2026-06-23T11:11:31.155Z