高斯过程的离散解耦不等式及其应用

IF 1.3 3区 数学 Q2 STATISTICS & PROBABILITY Electronic Journal of Probability Pub Date : 2023-01-01 DOI:10.1214/23-ejp994
S. Muirhead
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引用次数: 1

摘要

我们建立了高斯向量增加事件的散射解耦不等式,其误差仅取决于最大两两相关。作为一个应用,我们证明了高斯场在$\mathbb{Z}^d$或$\mathbb{R}^d$上的渗流相变的非平凡性,证明了(i)一致有界的局部上极值,以及(ii)在指数$\gamma>3$的距离上至少有多对数衰减的相关性;这扩大了现有相变非平凡性结果的范围,涵盖了新的例子,如非平稳场和单色随机波。
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A sprinkled decoupling inequality for Gaussian processes and applications
We establish a sprinkled decoupling inequality for increasing events of Gaussian vectors with an error that depends only on the maximum pairwise correlation. As an application we prove the non-triviality of the percolation phase transition for Gaussian fields on $\mathbb{Z}^d$ or $\mathbb{R}^d$ with (i) uniformly bounded local suprema, and (ii) correlations which decay at least polylogarithmically in the distance with exponent $\gamma>3$; this expands the scope of existing results on non-triviality of the phase transition, covering new examples such as non-stationary fields and monochromatic random waves.
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来源期刊
Electronic Journal of Probability
Electronic Journal of Probability 数学-统计学与概率论
CiteScore
1.80
自引率
7.10%
发文量
119
审稿时长
4-8 weeks
期刊介绍: The Electronic Journal of Probability publishes full-size research articles in probability theory. The Electronic Communications in Probability (ECP), a sister journal of EJP, publishes short notes and research announcements in probability theory. Both ECP and EJP are official journals of the Institute of Mathematical Statistics and the Bernoulli society.
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