Open Access
2023 Continuum percolation in a nonstabilizing environment
Benedikt Jahnel, Sanjoy Kumar Jhawar, Anh Duc Vu
Author Affiliations +
Electron. J. Probab. 28: 1-38 (2023). DOI: 10.1214/23-EJP1029

Abstract

We prove phase transitions for continuum percolation in a Boolean model based on a Cox point process with nonstabilizing directing measure. The directing measure, which can be seen as a stationary random environment for the classical Poisson–Boolean model, is given by a planar rectangular Poisson line process. This Manhattan grid type construction features long-range dependencies in the environment, leading to absence of a sharp phase transition for the associated Cox–Boolean model. The phase transitions are established under individually as well as jointly varying parameters. Our proofs rest on discretization arguments and a comparison to percolation on randomly stretched lattices established in [Hof05].

Funding Statement

This work was supported by the German Research Foundation under Germany’s Excellence Strategy MATH+: The Berlin Mathematics Research Center, EXC-2046/1 project ID: 390685689, and the Leibniz Association within the Leibniz Junior Research Group on Probabilistic Methods for Dynamic Communication Networks as part of the Leibniz Competition.

Acknowledgments

The authors like to thank Alexandre Stauffer for fruitful discussions.

Citation

Download Citation

Benedikt Jahnel. Sanjoy Kumar Jhawar. Anh Duc Vu. "Continuum percolation in a nonstabilizing environment." Electron. J. Probab. 28 1 - 38, 2023. https://doi.org/10.1214/23-EJP1029

Information

Received: 9 May 2023; Accepted: 23 September 2023; Published: 2023
First available in Project Euclid: 27 October 2023

MathSciNet: MR4660696
Digital Object Identifier: 10.1214/23-EJP1029

Subjects:
Primary: 60K35 , 60K37
Secondary: 60G55 , 90B18

Keywords: Boolean model , Cox point process , discretization , Manhattan grid , phase transition

Vol.28 • 2023
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