PERCOLATION OF STRONGLY CORRELATED GAUSSIAN FIELDS II. SHARPNESS OF THE PHASE TRANSITION

被引:2
|
作者
Muirhead, Stephen [1 ]
机构
[1] Univ Melbourne, Sch Math & Stat, Melbourne, Australia
来源
ANNALS OF PROBABILITY | 2024年 / 52卷 / 03期
基金
澳大利亚研究理事会;
关键词
FINITE-RANGE DECOMPOSITION; CLUSTER;
D O I
10.1214/23-AOP1673
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
We establish the sharpness of the phase transition for a wide class of Gaussian percolation models, on Z(d) or R-d, d >= 2, with correlations decaying at least algebraically with exponent alpha > 0, including the discrete Gaussian free field (d >= 3, alpha = d - 2), the discrete Gaussian membrane model (d >= 5, alpha = d - 4), and many other examples both discrete and continuous. In particular, we do not assume positive correlations. This result is new for all strongly correlated models (i.e., alpha e (0, d]) in dimension d >= 3 except the Gaussian free field, for which sharpness was proven in a recent breakthrough proof is simpler and yields new near-critical information on the percolation density. For planar fields which are continuous and positively correlated, we establish sharper bounds on the percolation density by exploiting a new 'weak mixing' property for strongly correlated Gaussian fields. As a byproduct, we establish the box-crossing property for the nodal set, of independent interest. This is the second in a series of two papers studying level-set percolation of strongly correlated Gaussian fields, which can be read independently.
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页码:838 / 881
页数:44
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