Pathwise mild solutions for superlinear stochastic evolution equations and their attractors

Read full text
Authors: Alexandra Blessing Neamţu, Tim Seitz, Stefanie Sonner, Bao Quoc Tang
Cited by: 0
References: 27

Abstract

We investigate stochastic parabolic evolution equations with time-dependent random generators and locally Lipschitz continuous drift terms. Using pathwise mild solutions, we construct an infinite-dimensional stationary Ornstein-Uhlenbeck type process, which is shown to be tempered in suitable function spaces. This property, together with a bootstrapping argument based on the regularizing effect of parabolic evolution families, is then applied to prove the global well-posedness and the existence of a random attractor for reaction-diffusion equations with random non-autonomous generators and nonlinearities satisfying certain growth and dissipativity assumptions.

Fields of Study & Subjects

Stochastic processes and financial applications

Publication details

Journal / source
Journal of Differential Equations
Volume
479
Pages
114664–114664
Publication date
28 July 2026
Language
EN