2022
DOI: 10.48550/arxiv.2203.01251
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Sharp phase transition for Cox percolation

Abstract: We prove the sharpness of the percolation phase transition for a class of Cox percolation models, i.e., models of continuum percolation in a random environment. The key requirements are that the environment has a finite range of dependence and satisfies a local boundedness condition, however the FKG inequality need not hold. The proof combines the OSSS inequality with a coarse-graining construction.

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“…The existence of long-range dependencies has serious consequences for percolation in the Cox-Boolean model based on Manhattan grids. For example, there is no sharp-threshold phenomenon [AB87, DCT16,HJM22]. More precisely, in the subcritical percolation regime, the probability of the event that the cluster of the origin reaches beyond a large ball does not decrease exponentially, see Proposition 5.…”
Section: Introductionmentioning
confidence: 99%
“…The existence of long-range dependencies has serious consequences for percolation in the Cox-Boolean model based on Manhattan grids. For example, there is no sharp-threshold phenomenon [AB87, DCT16,HJM22]. More precisely, in the subcritical percolation regime, the probability of the event that the cluster of the origin reaches beyond a large ball does not decrease exponentially, see Proposition 5.…”
Section: Introductionmentioning
confidence: 99%