Critical site percolation and cutsets

In 2003, Kahn conjectured a characterization of the critical percolation probability pc in terms of vertex cut sets ([9]). Later, Lyons and Peres (2016) conjectured a similar characterization of pc, but in terms of edge cut sets ([14]). Both conjectures were subsequently proven by Tang ([16]) for bond percolation and site percolation on bounded-degree graphs. Tang further conjectured that Kahn’s vertex-cut characterization for pcsite and the Lyons-Peres edge-cut characterization for pcsite would hold for site percolation on any infinite, connected, locally finite graph. In this paper, we establish Kahn’s vertex-cut characterization for pcsite by adapting arguments from [8, 5]. Additionally, we disprove the Lyons-Peres edge-cut characterization for pcsite by constructing a counterexample.

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Publication Details

Journal
Electronic Communications in Probability
Published
2025-01-01
DOI
https://doi.org/10.1214/25-ecp679
Primary Topic
Theoretical and Computational Physics
Type
article
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article

Critical site percolation and cutsets

Zhongyang Li
Electronic Communications in Probability
Theoretical and Computational Physics
article

Critical site percolation and cutsets

Zhongyang Li
article en

Abstract

In 2003, Kahn conjectured a characterization of the critical percolation probability pc in terms of vertex cut sets ([9]). Later, Lyons and Peres (2016) conjectured a similar characterization of pc, but in terms of edge cut sets ([14]). Both conjectures were subsequently proven by Tang ([16]) for bond percolation and site percolation on bounded-degree graphs. Tang further conjectured that Kahn’s vertex-cut characterization for pcsite and the Lyons-Peres edge-cut characterization for pcsite would hold for site percolation on any infinite, connected, locally finite graph. In this paper, we establish Kahn’s vertex-cut characterization for pcsite by adapting arguments from [8, 5]. Additionally, we disprove the Lyons-Peres edge-cut characterization for pcsite by constructing a counterexample.

Electronic Communications in ProbabilityVol. 30(none)
University of Connecticut (US)
Openalex Percentile: Top 96%
Theoretical and Computational Physics
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