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Percolation of strongly correlated Gaussian fields, I: Decay of subcritical connection probabilities

Stephen Muirhead and Franco Severo

Vol. 5 (2024), No. 2, 357–412
Abstract

We study the decay of connectivity of the subcritical excursion sets of a class of strongly correlated Gaussian fields. Our main result shows that, for smooth isotropic Gaussian fields whose covariance kernel K(x) is regularly varying at infinity with index α [0,1), the probability that {f }, < c, connects the origin to distance R decays subexponentially in R at log-asymptotic rate cα(c )2K(R) for an explicit cα > 0. If α = 1 and 0K(x)dx = then the log-asymptotic rate is c1(c )2R(0RK(x)dx)1, and if α > 1 the decay is exponential.

Our findings extend recent results on the Gaussian free field (GFF) on d, d 3, and can be interpreted as showing that the subcritical behaviour of the GFF is universal among fields with covariance K(x) c|x|d2. Our result is also evidence in support of physicists’ predictions that the correlation length exponent is ν = 2α if α 1, and for d = 2 we establish rigorously that ν 2α. More generally, our approach opens the door to the large deviation analysis of a wide variety of percolation events for smooth Gaussian fields.

This is the first in a series of two papers studying level-set percolation of strongly correlated Gaussian fields, which can be read independently.

Keywords
Gaussian fields, percolation, strongly correlated systems
Mathematical Subject Classification
Primary: 60K35
Secondary: 60G60
Milestones
Received: 7 July 2022
Revised: 14 September 2023
Accepted: 24 February 2024
Published: 26 May 2024
Authors
Stephen Muirhead
School of Mathematics and Statistics
University of Melbourne
Melboune
Australia
Franco Severo
Department of Mathematics
ETH Zurich
Zurich
Switzerland