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Main Author: Parekh, Shalin
Format: Preprint
Published: 2023
Subjects:
Online Access:https://arxiv.org/abs/2307.10889
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author Parekh, Shalin
author_facet Parekh, Shalin
contents A result of Arcones implies that if a measure-preserving linear operator $S$ on an abstract Wiener space $(X,H,μ)$ is strongly mixing, then the set of limit points of the random sequence $((2\log n)^{-1/2}S^n(x))_{n\in\mathbb N}$ equals the unit ball of $H$ for a.e. $x \in X$, which may be seen as a generalization of the classical Strassen's law of the iterated logarithm. We extend this result to the case of a continuous parameter $n$ and higher Gaussian chaoses, and we also prove a contraction-type principle for Strassen laws of such chaoses. We then use these extensions to recover or prove Strassen-type laws for a broad collection of processes derived from a Gaussian measure, including "nonlinear" Strassen laws for singular SPDEs such as the KPZ equation.
format Preprint
id arxiv_https___arxiv_org_abs_2307_10889
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle A nonlinear Strassen law for singular SPDEs
Parekh, Shalin
Probability
Functional Analysis
A result of Arcones implies that if a measure-preserving linear operator $S$ on an abstract Wiener space $(X,H,μ)$ is strongly mixing, then the set of limit points of the random sequence $((2\log n)^{-1/2}S^n(x))_{n\in\mathbb N}$ equals the unit ball of $H$ for a.e. $x \in X$, which may be seen as a generalization of the classical Strassen's law of the iterated logarithm. We extend this result to the case of a continuous parameter $n$ and higher Gaussian chaoses, and we also prove a contraction-type principle for Strassen laws of such chaoses. We then use these extensions to recover or prove Strassen-type laws for a broad collection of processes derived from a Gaussian measure, including "nonlinear" Strassen laws for singular SPDEs such as the KPZ equation.
title A nonlinear Strassen law for singular SPDEs
topic Probability
Functional Analysis
url https://arxiv.org/abs/2307.10889