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Annales Henri Lebesgue
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Annales Henri Lebesgue
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Article . 2020 . Peer-reviewed
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The critical threshold for Bargmann–Fock percolation

The critical threshold for Bargmann-Fock percolation
Authors: Rivera, Alejandro; Vanneuville, Hugo;

The critical threshold for Bargmann–Fock percolation

Abstract

In this article, we study the excursion sets 𝒟 p = f - 1 ( [ - p , + ∞ [ ) where f is a natural real-analytic planar Gaussian field called the Bargmann–Fock field. More precisely, f is the centered Gaussian field on ℝ 2 with covariance ( x , y ) ↩ exp ( - 1 2 | x - y | 2 ) . Alexander has proved that, if p ≀ 0 , then a.s. 𝒟 p has no unbounded component. We show that conversely, if p > 0 , then a.s. 𝒟 p has a unique unbounded component. As a result, the critical level of this percolation model is 0 . We also prove exponential decay of crossing probabilities under the critical level. To show these results, we rely on a recent box-crossing estimate by Beffara and Gayet. We also develop several tools including a KKL-type result for biased Gaussian vectors (based on the analogous result for product Gaussian vectors by Keller, Mossel and Sen) and a sprinkling inspired discretization procedure. These intermediate results hold for more general Gaussian fields, for which we prove a discrete version of our main result.

Keywords

percolation, sharp threshold, Probability (math.PR), KKL, FOS: Mathematics, Gaussian processes, critical point, Interacting random processes; statistical mechanics type models; percolation theory, Geometric probability and stochastic geometry, Bargmann-Fock field, Mathematics - Probability

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
23
Top 10%
Top 10%
Top 10%
Green
Published in a Diamond OA journal