The stochastic value function on metric measure spaces
Ugo Bessi

TL;DR
This paper proves that in $RCD(K, olinebreak \infty)$ metric measure spaces, the stochastic value function obeys the viscous Hamilton-Jacobi equation, extending Fleming's theorem from Euclidean spaces to more general settings.
Contribution
It establishes the viscous Hamilton-Jacobi equation for the stochastic value function on $RCD(K, olinebreak \infty)$ spaces, generalizing classical results to metric measure spaces.
Findings
Stochastic value function satisfies viscous Hamilton-Jacobi equation on $RCD(K, olinebreak \infty)$ spaces.
Extension of Fleming's theorem from Euclidean spaces to metric measure spaces.
Provides a link between stochastic analysis and geometric analysis in metric measure spaces.
Abstract
Let be a compact metric space and let be a Borel probability measure on . We shall prove that, if is a space, then the stochastic value function satisfies the viscous Hamilton-Jacobi equation, exactly as in Fleming's theorem on .
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
TopicsGeometric Analysis and Curvature Flows · Stochastic processes and financial applications · Mathematical Dynamics and Fractals
