The critical 2d stochastic heat flow is not a Gaussian multiplicative chaos

IF 2.1 1区 数学 Q1 STATISTICS & PROBABILITY
Francesco Caravenna, Rongfeng Sun, Nikos Zygouras
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引用次数: 5

Abstract

The critical 2d stochastic heat flow (SHF) is a stochastic process of random measures on R2, recently constructed in (Invent. Math. 233 (2023) 325–460). We show that this process falls outside the class of Gaussian multiplicative chaos (GMC), in the sense that it cannot be realised as the exponential of a (generalised) Gaussian field. We achieve this by deriving strict lower bounds on the moments of the SHF that are of independent interest.
临界二维随机热流不是高斯乘法混沌
临界二维随机热流(SHF)是R2上随机测度的随机过程。数学。233(2023)325-460)。我们证明了这个过程不属于高斯乘法混沌(GMC)的范畴,因为它不能作为(广义)高斯场的指数来实现。我们通过推导具有独立意义的SHF矩的严格下界来实现这一点。
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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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