English

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.

Keywords

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!

R2 v1 2026-06-28T21:30:21.526Z