Weak Solution for a Class of Fully Nonlinear Stochastic Hamilton-Jacobi-Bellman Equations
Jinniao Qiu

TL;DR
This paper develops a weak solution framework for a class of fully nonlinear stochastic Hamilton-Jacobi-Bellman equations with controlled coefficients, extending classical potential theory to backward stochastic PDEs.
Contribution
It introduces a generalized potential theory approach for weak solutions of fully nonlinear stochastic BSPDEs with controlled leading coefficients.
Findings
Proved existence and uniqueness of weak solutions.
Established gradient estimates in the partially non-Markovian case.
Discussed solutions for degenerate reflected BSPDEs.
Abstract
This paper is concerned with the stochastic Hamilton-Jacobi-Bellman equation with controlled leading coefficients, which is a type of fully nonlinear backward stochastic partial differential equation (BSPDE for short). In order to formulate the weak solution for such kind of BSPDEs, the classical potential theory is generalized in the backward stochastic framework. The existence and uniqueness of the weak solution is proved, and for the partially non-Markovian case, we obtain the associated gradient estimate. As a byproduct, the existence and uniqueness of solution for a class of degenerate reflected BSPDEs is discussed as well.
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 · Mathematical Biology Tumor Growth · Nonlinear Partial Differential Equations
