Path-Distribution Dependent SDEs: Well-Posedness and Asymptotic Log-Harnack Inequality
Feng-Yu Wang, Chenggui Yuan, Xiao-Yu Zhao

TL;DR
This paper studies path-distribution dependent stochastic differential equations, proving well-posedness and Lipschitz continuity under certain conditions, and establishing an asymptotic log-Harnack inequality extending previous results.
Contribution
It introduces new well-posedness results for path-distribution dependent SDEs and extends the asymptotic log-Harnack inequality to this setting.
Findings
Well-posedness under local integrability condition
Lipschitz continuity in initial values
Extension of asymptotic log-Harnack inequality
Abstract
We consider stochastic differential equations on with coefficients depending on the path and distribution for the whole history. Under a local integrability condition on the time-spatial singular drift, the well-posedness and Lipschitz continuity in initial values are proved, which is new even in the distribution independent case. Moreover, under a monotone condition, the asymptotic log-Harnack inequality is established, which extends the corresponding result of [5] derived in the distribution independent case.
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
TopicsEconomic theories and models
