无FKG时平面高斯渗流模型的相变

IF 2.1 1区 数学 Q1 STATISTICS & PROBABILITY
Stephen Muirhead, Alejandro Rivera, Hugo Vanneuville, Laurin Köhler-Schindler
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引用次数: 18

摘要

我们开发了一些技术来研究平面高斯渗流模型的相变,这些模型不一定是正相关的。这些模型缺乏正关联的性质(也称为“FKG不等式”),因此渗流理论中的许多经典论点不适用。更精确地说,我们考虑一个光滑平稳中心平面高斯场f,并且给定一个水平R∈R,我们研究了偏移集{f≥- R}的连通性。我们仅在对称和(非常轻微的)相关衰减假设下,证明了临界能级上的相变的存在性,这些假设由随机平面波来满足。因此,所有非零能级线几乎肯定是有界的,尽管我们的结果并没有解决零能级线的有界性(“临界时无渗流”)。为了显示我们的主要结果:(i)我们证明了一个一般的尖锐阈值准则,受到Chatterjee的作品的启发,该准则指出“尖锐阈值相当于阈值位置的离域”;(ii)我们证明了大尺度交叉事件的阈值离域——在这个步骤中,我们得到了一个尖锐的阈值结果,但无法定位阈值——(iii)为了识别阈值,我们采用了Tassion的RSW理论,用一个喷溅过程取代了FKG不等式。虽然有些参数是特定于高斯设置的,但许多步骤是非常通用的,我们希望我们的技术可以适应于分析没有FKG的其他模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The phase transition for planar Gaussian percolation models without FKG
We develop techniques to study the phase transition for planar Gaussian percolation models that are not (necessarily) positively correlated. These models lack the property of positive associations (also known as the ‘FKG inequality’), and hence many classical arguments in percolation theory do not apply. More precisely, we consider a smooth stationary centred planar Gaussian field f and, given a level ℓ∈R, we study the connectivity properties of the excursion set {f≥−ℓ}. We prove the existence of a phase transition at the critical level ℓcrit=0 under only symmetry and (very mild) correlation decay assumptions, which are satisfied by the random plane wave for instance. As a consequence, all nonzero level lines are bounded almost surely, although our result does not settle the boundedness of zero level lines (‘no percolation at criticality’). To show our main result: (i) we prove a general sharp threshold criterion, inspired by works of Chatterjee, that states that ‘sharp thresholds are equivalent to the delocalisation of the threshold location’; (ii) we prove threshold delocalisation for crossing events at large scales—at this step we obtain a sharp threshold result but without being able to locate the threshold—and (iii) to identify the threshold, we adapt Tassion’s RSW theory replacing the FKG inequality by a sprinkling procedure. Although some arguments are specific to the Gaussian setting, many steps are very general and we hope that our techniques may be adapted to analyse other models without FKG.
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来源期刊
Annals of Probability
Annals of Probability 数学-统计学与概率论
CiteScore
4.60
自引率
8.70%
发文量
61
审稿时长
6-12 weeks
期刊介绍: The Annals of Probability publishes research papers in modern probability theory, its relations to other areas of mathematics, and its applications in the physical and biological sciences. Emphasis is on importance, interest, and originality – formal novelty and correctness are not sufficient for publication. The Annals will also publish authoritative review papers and surveys of areas in vigorous development.
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