English

Martingale-driven approximations of singular stochastic PDEs

Probability 2023-03-27 v2 Analysis of PDEs

Abstract

We define multiple stochastic integrals with respect to c\`{a}dl\`{a}g martingales and prove moment bounds and chaos expansions, which allow to work with them in a way similar to Wiener stochastic integrals. In combination with the discretization framework of Erhard and Hairer (2017), our results give a tool for proving convergence of interacting particle systems to stochastic PDEs using regularity structures. As examples, we prove convergence of martingale-driven discretizations of the 33-dimensional stochastic quantization equation and the KPZ equation.

Keywords

Cite

@article{arxiv.1808.09429,
  title  = {Martingale-driven approximations of singular stochastic PDEs},
  author = {Konstantin Matetski},
  journal= {arXiv preprint arXiv:1808.09429},
  year   = {2023}
}

Comments

The article contains mistakes that have been corrected in arXiv:2303.10245

R2 v1 2026-06-23T03:46:48.441Z