Solutions and stochastic averaging for delay-path-dependent stochastic variational inequalities in infinite dimensions
Abstract
In this paper, we study a very general stochastic variational inequality(SVI) having jumps, random coefficients, delay, and path dependence, in infinite dimensions. Well-posedness in terms of the existence and uniqueness of a solution is established, and a stochastic averaging principle on strong convergence of a time-explosion SVI to an averaged equation is obtained, both under non-Lipschitz conditions. We illustrate our results on general but concrete examples of finite dimension and infinite dimension respectively, which cover large classes of particle systems with electro-static repulsion, nonlinear stochastic partial differential equations with jumps, semilinear stochastic partial differential equations (especially stochastic reaction-diffusion equations) with delays, and others.
Cite
@article{arxiv.2408.08277,
title = {Solutions and stochastic averaging for delay-path-dependent stochastic variational inequalities in infinite dimensions},
author = {Ning Ning and Jing Wu and Xiaoyan Xu},
journal= {arXiv preprint arXiv:2408.08277},
year = {2024}
}