Discretisations of rough stochastic PDEs
Martin Hairer, Konstantin Matetski

TL;DR
This paper introduces a framework for discretising parabolic stochastic PDEs within the regularity structures theory, demonstrating convergence of the dynamical _3 model on dyadic grids and confirming invariance of the _3 measure.
Contribution
It provides a novel general framework for spatial discretisations of rough stochastic PDEs and proves convergence of the _3 model on dyadic grids after renormalisation.
Findings
The _3 model on dyadic grids converges to the continuous model after renormalisation.
The _3 measure with small coupling constant is invariant under the discretised dynamics.
Solutions to the discretised _3 model have almost surely infinite lifetime for almost every initial condition.
Abstract
We develop a general framework for spatial discretisations of parabolic stochastic PDEs whose solutions are provided in the framework of the theory of regularity structures and which are functions in time. As an application, we show that the dynamical model on the dyadic grid converges after renormalisation to its continuous counterpart. This result in particular implies that, as expected, the measure with a sufficiently small coupling constant is invariant for this equation and that the lifetime of its solutions is almost surely infinite for almost every initial condition.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
