Sharp bounds on the half-space two-point function for high-dimensional Bernoulli percolation
Romain Panis, Bruno Schapira

TL;DR
This paper establishes sharp bounds on the critical two-point function in high-dimensional Bernoulli percolation within a half-space, advancing understanding of spatial correlations in such models.
Contribution
It provides an up-to-constant estimate for the two-point function in a half-space for dimensions greater than six, completing prior research and answering a recent open question.
Findings
Established sharp bounds on the two-point function
Extended results to high-dimensional half-spaces
Resolved an open problem in percolation theory
Abstract
We consider Bernoulli percolation on with . We prove an up-to-constant estimate for the critical two-point function restricted to a half-space. This completes previous results of Chatterjee and Hanson (Commun. Pure Appl. Math., 2021), and Chatterjee, Hanson, and Sosoe (Commun. Math. Phys., 2023), and solves a question asked by Hutchcroft, Michta, and Slade (Ann. Probab., 2023).
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Taxonomy
TopicsStochastic processes and statistical mechanics · Random Matrices and Applications · Markov Chains and Monte Carlo Methods
