Well-posedness of McKean-Vlasov SDEs with density-dependent drift
Anh-Dung Le (TSE-R), St\'ephane Villeneuve (TSE-R)

TL;DR
This paper establishes the well-posedness of McKean-Vlasov SDEs with density-dependent drifts under certain regularity conditions, using mollifier approximation techniques to prove existence and uniqueness.
Contribution
It introduces a new approach for proving well-posedness of density-dependent McKean-Vlasov SDEs, including strong existence and uniqueness results under specific conditions.
Findings
Proved strong existence of solutions.
Established weak and strong uniqueness when p=1 with bounded drift.
Demonstrated the effectiveness of mollifier approximation methods.
Abstract
In this paper, we study well-posedness of McKean-Vlasov stochastic differential equations (SDE) whose drift depends pointwisely on marginal density and satisfies a local integrability condition in time-space variables. The drift and noise coefficients are assumed to be Lipschitz continuous in distribution variable with respect to Wasserstein metric . Our approach is by approximation with mollifiers. We prove strong existence of a solution. Weak and strong uniqueness are obtained when , the drift coefficient is bounded, and the diffusion coefficient is distribution free.
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
