Pathwise mild solutions for superlinear stochastic evolution equations and their attractors
Probability
2025-02-04 v1 Analysis of PDEs
Dynamical Systems
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.
Cite
@article{arxiv.2502.01209,
title = {Pathwise mild solutions for superlinear stochastic evolution equations and their attractors},
author = {Alexandra Blessing and Tim Seitz and Stefanie Sonner and Bao Quoc Tang},
journal= {arXiv preprint arXiv:2502.01209},
year = {2025}
}
Comments
32 pages, Comments are welcome!