Stochastic perturbation of sweeping process and a convergence result for an associated numerical scheme
Frederic Bernicot (LPP), Juliette Venel (LAMAV)

TL;DR
This paper establishes well-posedness for stochastic sweeping processes and demonstrates convergence of a related Euler scheme, integrating deterministic theory with stochastic reflection methods.
Contribution
It introduces new well-posedness results for stochastic sweeping processes and proves convergence of a numerical Euler scheme for these inclusions.
Findings
Well-posedness results for stochastic sweeping processes.
Convergence proof for the Euler discretization scheme.
Integration of deterministic sweeping theory with stochastic reflection techniques.
Abstract
Here we present well-posedness results for first order stochastic differential inclusions, more precisely for sweeping process with a stochastic perturbation. These results are provided in combining both deterministic sweeping process theory and methods concerning the reflection of a Brownian motion. In addition, we prove convergence results for a Euler scheme, discretizing theses stochastic differential inclusions.
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.
