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Bismut formula for Lions derivative of distribution-path dependent SDEs.

Authors :
Bao, Jianhai
Ren, Panpan
Wang, Feng-Yu
Source :
Journal of Differential Equations. May2021, Vol. 282, p285-329. 45p.
Publication Year :
2021

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00220396
Volume :
282
Database :
Academic Search Index
Journal :
Journal of Differential Equations
Publication Type :
Academic Journal
Accession number :
148983331
Full Text :
https://doi.org/10.1016/j.jde.2021.02.019