Martingale Solutions of Fractional Stochastic Reaction-Diffusion Equations Driven by Superlinear Noise

Fuente: arXiv
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Autor principal: Wang, Bixiang
Formato: Preprint
Publicado: 2025
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author Wang, Bixiang
author_facet Wang, Bixiang
contents In this paper, we prove the existence of martingale solutions of a class of stochastic equations with pseudo-monotone drift of polynomial growth of arbitrary order and a continuous diffusion term with superlinear growth. Both the nonlinear drift and diffusion terms are not required to be locally Lipschitz continuous. We then apply the abstract result to establish the existence of martingale solutions of the fractional stochastic reaction-diffusion equation with polynomial drift driven by a superlinear noise. The pseudo-monotonicity techniques and the Skorokhod-Jakubowski representation theorem in a topological space are used to pass to the limit of a sequence of approximate solutions defined by the Galerkin method.
format Preprint
id arxiv_https___arxiv_org_abs_2505_12180
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Martingale Solutions of Fractional Stochastic Reaction-Diffusion Equations Driven by Superlinear Noise
Wang, Bixiang
Probability
Analysis of PDEs
60F10, 60H15
In this paper, we prove the existence of martingale solutions of a class of stochastic equations with pseudo-monotone drift of polynomial growth of arbitrary order and a continuous diffusion term with superlinear growth. Both the nonlinear drift and diffusion terms are not required to be locally Lipschitz continuous. We then apply the abstract result to establish the existence of martingale solutions of the fractional stochastic reaction-diffusion equation with polynomial drift driven by a superlinear noise. The pseudo-monotonicity techniques and the Skorokhod-Jakubowski representation theorem in a topological space are used to pass to the limit of a sequence of approximate solutions defined by the Galerkin method.
title Martingale Solutions of Fractional Stochastic Reaction-Diffusion Equations Driven by Superlinear Noise
topic Probability
Analysis of PDEs
60F10, 60H15
url https://arxiv.org/abs/2505.12180