Widths of crossings in Poisson Boolean percolation
Ioan Manolescu, Leonardo V. Santoro
TL;DR
The paper investigates the width of horizontal crossings in planar Poisson Boolean percolation, distinguishing occupied and vacant crossings across subcritical, critical, and supercritical regimes. By introducing two radius-enlargement couplings and leveraging Russo's formula, RSW theory, and near-critical scaling, it derives precise, regime-dependent bounds for the maximal crossing widths $\mathrm{w}_n$ (occupied) and $\mathrm{w}_n^*$ (vacant) conditioned on the existence of a crossing. Central to the results are the four-arm probabilities $\pi_4(n)$ and the critical window parameter $\alpha_n=1/(\pi_4(n)n^2)$, which govern how widths scale with $n$ and with the distance to criticality. The work provides both upper and lower bounds, yielding a detailed, quantitative picture of crossing geometry in continuum percolation and offering techniques potentially adaptable to more general random geometric models.
Abstract
We answer the following question: if the occupied (or vacant) set of a planar Poisson Boolean percolation model does contain a crossing of an $n\times n$ square, how wide is this crossing? The answer depends on the whether we consider the critical, sub- or super-critical regime, and is different for the occupied and vacant sets.
