Linear Lower Bounds for $\delta_c(p)$ for a Class of 2D Self-Destructive Percolation Models

TL;DR

This paper establishes linear lower bounds for the critical probability _c(p) in a class of 2D self-destructive percolation models, extending previous results to more lattice types.

Contribution

It generalizes the linear lower bounds for _c(p) from specific lattices to a broader class of 2D lattices, including bond and site percolation models.

Findings

_c(p) is at least linear in p - p_c for various 2D lattices.

The methods used by van den Berg and Brouwer can be adapted to other lattice types.

The results apply to both site and bond percolation models.

Abstract

The self-destructive percolation model is defined as follows: Consider percolation with parameter $p > p_c$. Remove the infinite occupied cluster. Finally, give each vertex (or, for bond percolation, each edge) that at this stage is vacant, an extra chance $\delta$ to become occupied. Let $\delta_c(p)$ be the minimal value of $\delta$, needed to obtain an infinite occupied cluster in the final configuration. This model was introduced some years ago by van den Berg and Brouwer. They showed that, for the site model on the square lattice (and a few other 2D lattices satisfying a special technical condition) that $\delta_c(p)\geq\frac{(p-p_c)}{p}$. In particular, $\delta_c(p)$ is at least linear in $p-p_c$. Although the arguments used by van den Berg and Brouwer look quite rigid, we show that they can be suitably modified to obtain similar linear lower bounds for $\delta_c(p)$ (with $p$ near $p_c$) for a much larger class of 2D lattices, including bond percolation on the square and triangular lattices, and site percolation on the star lattice (or matching lattice) of the square lattice.