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An alternative approach for the mean-field behaviour of spread-out Bernoulli percolation in dimensions $d>6$

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arxiv 2410.03647 v2 pith:NHZCHW3R submitted 2024-10-04 math.PR math-phmath.MP

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keywords dimensionsbernoullimean-fieldpercolationspread-outalternativeanalysisapply
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abstract

This article proposes a new way of deriving mean-field exponents for sufficiently spread-out Bernoulli percolation in dimensions $d>6$. We obtain an upper bound for the full-space and half-space two-point functions in the critical and near-critical regimes. In a companion paper, we apply a similar analysis to the study of the weakly self-avoiding walk model in dimensions $d>4$.

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Cited by 3 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Super-Brownian limits and the $k$-point function for high-dimensional percolation

    math.PR 2026-07 accept novelty 8.0 of 10

    High-dimensional critical percolation clusters rescale to super-Brownian excursion, verifying the 1984 Aizenman–Newman k-point conjecture under lace-expansion hypotheses.

  2. Critical long-range percolation I: High effective dimension

    math.PR 2025-08 conditional novelty 8.0 of 10

    In the regime d > min{6, 3alpha}, critical long-range percolation clusters have an n^{-1/2} volume tail and integrated superprocess scaling limits, switching from super-Levy (alpha < 2) to super-Brownian (alpha >= 2);...

  3. Critical long-range percolation III: The upper critical dimension

    math.PR 2025-08 conditional novelty 7.0 of 10

    For long-range percolation with d=3α<6, the critical volume tail is ~(log n)^{1/4}/√n, the critical two-point function is ~||x-y||^{-d+α}, and superprocess scaling limits hold with explicit logarithmic corrections.

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