On the uniqueness of solutions to quadratic BSDEs with non-convex generators
Philippe Briand, Adrien Richou

TL;DR
This paper establishes uniqueness results for quadratic backward stochastic differential equations without convexity assumptions, including new findings for unbounded cases with path-dependent terminal conditions and generators.
Contribution
It provides the first known uniqueness results for quadratic BSDEs without convexity, extending to unbounded cases with path-dependent data.
Findings
Uniqueness results for quadratic BSDEs without convexity
Strong estimates on the Z process for unbounded cases
Applicability to path-dependent terminal conditions
Abstract
In this paper we prove some uniqueness results for quadratic backward stochastic differential equations without any convexity assumptions on the generator. The bounded case is revisited while some new results are obtained in the unbounded case when the terminal condition and the generator depend on the path of a forward stochastic differential equation. Some of these results are based on strong estimates on that are interesting on their own and could be applied in other situations.
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.
