English

Line percolation

Probability 2017-06-06 v3 Combinatorics

Abstract

We study a new geometric bootstrap percolation model, line percolation, on the dd-dimensional integer grid [n]d[n]^d. In line percolation with infection parameter rr, infection spreads from a subset A[n]dA\subset [n]^d of initially infected lattice points as follows: if there exists an axis-parallel line LL with rr or more infected lattice points on it, then every lattice point of [n]d[n]^d on LL gets infected, and we repeat this until the infection can no longer spread. The elements of the set AA are usually chosen independently, with some density pp, and the main question is to determine pc(n,r,d)p_c(n,r,d), the density at which percolation (infection of the entire grid) becomes likely. In this paper, we determine pc(n,r,2)p_c(n,r,2) up to a multiplicative factor of 1+o(1)1+o(1) and pc(n,r,3)p_c(n,r,3) up to a multiplicative constant as nn\rightarrow \infty for every fixed rNr\in \mathbb{N}. We also determine the size of the minimal percolating sets in all dimensions and for all values of the infection parameter.

Keywords

Cite

@article{arxiv.1403.6851,
  title  = {Line percolation},
  author = {Paul Balister and Béla Bollobás and Jonathan Lee and Bhargav Narayanan},
  journal= {arXiv preprint arXiv:1403.6851},
  year   = {2017}
}

Comments

27 pages, Random Structures and Algorithms

R2 v1 2026-06-22T03:35:27.601Z