Improved bounds for 1-independent percolation on $\mathbb{Z}^n$

TL;DR

This paper improves bounds on the maximum edge probability for non-percolating 1-independent bond percolation models on lattice graphs, advancing understanding of percolation thresholds in high-dimensional and two-dimensional grids.

Contribution

It provides significantly improved bounds on the critical probabilities for 1-independent percolation on $\

Findings

Improved upper bounds on $p_{ ext{max}}(\

Refined bounds on $p_{ ext{max}}(\

Established an upper bound on the giant component probability in hypercube graphs.

Abstract

A 1-independent bond percolation model on a graph $G$ is a probability distribution on the spanning subgraphs of $G$ in which, for all vertex-disjoint sets of edges $S_1$ and $S_2$, the states of the edges in $S_1$ are independent of the states of the edges in $S_2$. Such a model is said to percolate if the random subgraph has an infinite component with positive probability. In 2012 the first author and Bollob\'as defined $p_{\max}(G)$ to be the supremum of those $p$ for which there exists a 1-independent bond percolation model on $G$ in which each edge is present in the random subgraph with probability at least $p$ but which does not percolate. A fundamental and challenging problem in this area is to determine the value of $p_{\max}(G)$ when $G$ is the lattice graph $\mathbb{Z}^2$. Since $p_{\max}(\mathbb{Z}^n)\leq p_{\max}(\mathbb{Z}^{n-1})$, it is also of interest to establish the value of $\lim_{n\to\infty} p_{\max}(\mathbb{Z}^n)$. In this paper we significantly improve the best known upper bound on this limit and obtain better upper and lower bounds on $p_{\max}(\mathbb{Z}^2)$. In proving these results, we also give an upper bound on the critical probability for a 1-independent model on the hypercube graph to contain a giant component asymptotically almost surely.