A skew stochastic heat equation
Said Karim Bounebache, Lorenzo Zambotti

TL;DR
This paper investigates a stochastic heat equation with a singular drift involving local-time, establishing existence of solutions, invariant measures, and approximation methods for the stationary state.
Contribution
It introduces a Markov solution framework for a stochastic heat equation with non-convex potential and local-time drift, including explicit invariant measures and approximation techniques.
Findings
Existence of a Markov solution with an explicit Dirichlet form.
Identification of an invariant Gibbs measure with non-convex potential.
Development of approximation methods via regularization and finite-dimensional projection.
Abstract
We consider a stochastic heat equation driven by a space-time white noise and with a singular drift, where a local-time in space appears. The process we study has an explicit invariant measure of Gibbs type, with a non-convex potential. We obtain existence of a Markov solution, which is associated with an explicit Dirichlet form. Moreover we study approximations of the stationary solution by means of a regularization of the singular drift or by a finite-dimensional projection.
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.
Taxonomy
TopicsStochastic processes and statistical mechanics · Advanced Thermodynamics and Statistical Mechanics · Stochastic processes and financial applications
