Pointwise two-point function estimates and a non-perturbative proof of mean-field critical behaviour for long-range percolation

成果类型:
Article; Early Access
署名作者:
Hutchcroft, Tom
署名单位:
California Institute of Technology
刊物名称:
PROBABILITY THEORY AND RELATED FIELDS
ISSN/ISSBN:
0178-8051
DOI:
10.1007/s00440-025-01410-8
发表日期:
2025
关键词:
critical exponents bernoulli percolation PHASE-TRANSITION models bounds sharpness
摘要:
In long-range percolation on Z(d), we connect each pair of distinct points x and y by an edge independently at random with probability 1-exp(-beta parallel to x-y parallel to(-d-alpha)), where alpha> 0 is fixed and beta >= 0 is a parameter. In a previous paper, we proved that if 0 < alpha < d then the critical two-point function satisfies the spatially averaged upper bound 1/ r(d) & sum;(d)( x is an element of[-r,r]) (P)beta(c)(0 <-> x) <= r(-d+alpha) for every r >= 1. This upper bound is believed to be sharp for values of alpha strictly below the crossover value alpha c(d), and a matching lower bound for alpha < 1 was proven by Baumler and Berger (AIHP 2022). In this paper, we prove pointwise upper and lower bounds of the same order under the same assumption that alpha < 1. We also prove analogous two-sided pointwise estimates on the slightly subcritical two-point function under the same hypotheses, interpolating between parallel to x parallel to(-d+alpha) decay below the correlation length and parallel to x parallel to(-d-alpha) decay above the correlation length. In dimensions d = 1, 2, 3, we deduce that the triangle condition holds under the minimal assumption that 0 < d/3. While this result had previously been established under additional perturbative assumptions using the lace expansion, our proof is completely non-perturbative and does not rely on the lace expansion in any way.
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