Bismut formula for Lions derivative of distribution-path dependent SDEs

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

21 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)285-329
Journal / PublicationJournal of Differential Equations
Volume282
Online published19 Feb 2021
Publication statusPublished - 5 May 2021
Externally publishedYes

Abstract

To characterize the regularity of distribution-path dependent SDEs in the initial distribution which varies as probability measure on the path space, we introduce the intrinsic and Lions derivatives for probability measures on Banach spaces, and prove the chain rule of the Lions derivative for the distribution of Banach-valued random variables. By using Malliavin calculus, we establish the Bismut type formula for the Lions derivatives of functional solutions to SDEs with distribution-path dependent drifts. When the noise term is also path dependent so that the Bismut formula is invalid, we establish the asymptotic Bismut formula. Both non-degenerate and degenerate noises are considered. The main results of this paper generalize and improve the corresponding ones derived recently in the literature for the classical SDEs with memory and McKean-Vlasov SDEs without memory.

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Research Area(s)

  • Asymptotic Bismut formula, Bismut formula, Distribution-path dependent SDEs, Lions derivative, Malliavin calculus

Citation Format(s)

Bismut formula for Lions derivative of distribution-path dependent SDEs. / Bao, Jianhai; Ren, Panpan; Wang, Feng-Yu.
In: Journal of Differential Equations, Vol. 282, 05.05.2021, p. 285-329.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review