Abstract

Upon its inception the theory of regularity structures allowed for the treatment for many semilinear perturbations of the stochastic heat equation driven by space-time white noise. When the driving noise is non-Gaussian the machinery of theory can still be used but must be combined with an infinite number of stochastic estimates in order to compensate for the loss of hypercontractivity. In this paper we obtain a more streamlined and automatic set of criteria implying these estimates which facilitates the treatment of some other problems including non-Gaussian noise such as some general phase coexistence models - as an example we prove here a generalization of the Wong-Zakai Theorem found by Hairer and Pardoux.

Highlights

  • Upon its inception the theory of regularity structures [7] allowed for the treatment for many semilinear perturbations of the stochastic heat equation driven by spacetime white noise

  • In [10, Remark 1.7] Hairer and Pardoux ask if an analogous statement can be proven if one replaces the mollified space-time white noise ξε(t, x) with ε−3/2ζ(ε−2t, ε−1x) where ζ is a non-Gaussian random field which is supported on smooth functions and satisfies a central limit theorem

  • The moment estimates we prove will be used as input for the theory of regularity structures developed in [7]

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Summary

Introduction

In the paper [10] the main focus was the convergence of smooth approximations u to the solution of the SPDE. In [10, Remark 1.7] Hairer and Pardoux ask if an analogous statement can be proven if one replaces the mollified space-time white noise ξε(t, x) with ε−3/2ζ(ε−2t, ε−1x) where ζ is a non-Gaussian random field which is supported on smooth functions and satisfies a central limit theorem. They conjectured that in addition to the renormalization seen in the Gaussian case one would see additional terms of order ε−. Since the proofs follow along the same lines, we refrain from redoing them here

Moment estimates for SPDE with non-Gaussian fields
Regularity Structures
The Wong-Zakai regularity structure
Admissible models and renormalized models
Modeled distributions and abstract fixed point problem
Graphical Moment Bounds
Assumptions on kernels associated to hyper-edges
The entire graph with hyper-edges
The elementary graphs
Application
Moment bounds
The symbol
The symbol The new terms are
Proof of the main theorem

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