A lower bound for p_c in range-R bond percolation in four, five and six dimensions

TL;DR

This paper establishes a lower bound for the critical probability in range-R bond percolation in four to six dimensions, aligning with conjectured asymptotics and extending previous results across different dimensions.

Contribution

It provides a new lower bound for p_c in 4-6 dimensions, using an epidemic model and self-avoiding branching random walk techniques.

Findings

Lower bound matches conjectured asymptotics for large R

Extends understanding of percolation thresholds in intermediate dimensions

Introduces a self-avoiding branching random walk approach

Abstract

For the range-R bond percolation in d=4,5,6, we obtain a lower bound for the critical probability p_c for R large, agreeing with the conjectured asymptotics and thus complementing the corresponding results of Van der Hofstad-Sakai (2005) for d>6, and Frei-Perkins (2016), Hong (2021) for d<4. The proof follows by showing the extinction of the associated SIR epidemic model and introducing a self-avoiding branching random walk where births onto visited sites are suppressed and the total range of which dominates that of the SIR epidemic process.