Critical level set percolation for the GFF in $d>6$: comparison principles and some consequences
Shirshendu Ganguly, Kaihao Jing

TL;DR
This paper develops new comparison methods to analyze the intrinsic geometry of critical level set percolation clusters of the Gaussian free field in dimensions greater than six, leading to sharp estimates and confirming conjectures about connectivity and loop effects.
Contribution
It introduces two primary comparison techniques for intrinsic and extrinsic metrics and geodesics, applicable for all dimensions greater than six, advancing understanding of GFF percolation geometry.
Findings
Established the chemical one-arm exponent for all d>6.
Proved that removing large loops does not affect connection probabilities at scale r.
Provided a local connectivity estimate showing robustness of connection probabilities.
Abstract
The intrinsic geometry of the critical percolation cluster induced by the level set of the metric Gaussian free field on has been the subject of much recent activity. (Lupu, 2016) established that the critical percolation cluster has the same law as that in a Poisson loop soup where the intensity is dictated by the Green's function of the usual random walk. A sharp Euclidean one arm exponent was proven recently in (Cai and Ding, 2023), and subsequently in (Ganguly and Nam, 2024) other results about the chemical one arm exponent, volume growth and the Alexander-Orbach conjecture were established for all In this article, we introduce new methods to obtain several sharp estimates about the intrinsic geometry which hold for all . We develop two primary comparison methods. The first involves a comparison of the extrinsic (Euclidean) and intrinsic metrics…
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Taxonomy
TopicsMathematical Dynamics and Fractals · Stochastic processes and statistical mechanics · Stochastic processes and financial applications
