The Obstacle Problem for Quasilinear Stochastic PDEs with Neumann boundary condition
Yuchao Dong, Xue Yang, Jing Zhang

TL;DR
This paper establishes the existence and uniqueness of solutions for the obstacle problem in quasilinear stochastic PDEs with Neumann boundary conditions, using techniques from parabolic potential theory.
Contribution
It introduces a novel approach to solving the obstacle problem for quasilinear SPDEs with Neumann boundary conditions, combining stochastic analysis and potential theory.
Findings
Proves existence and uniqueness of solutions for the obstacle problem.
Characterizes solutions as pairs (u, ν) with specific properties.
Employs parabolic potential theory techniques in stochastic PDE context.
Abstract
We prove the existence and uniqueness of solution of the obstacle problem for quasilinear stochastic partial differential equations (OSPDEs for short) with Neumann boundary condition. Our method is based on the analytical technics coming from parabolic potential theory. The solution is expressed as a pair where is a predictable continuous process which takes values in a proper Sobolev space and is a random regular measure satisfying minimal Skohorod 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.
Taxonomy
TopicsStochastic processes and financial applications · Advanced Mathematical Modeling in Engineering · Nonlinear Partial Differential Equations
