Bismut formula for Lions derivative of distribution-path dependent SDEs
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Detail(s)
Original language | English |
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Pages (from-to) | 285-329 |
Journal / Publication | Journal of Differential Equations |
Volume | 282 |
Online published | 19 Feb 2021 |
Publication status | Published - 5 May 2021 |
Externally published | Yes |
Link(s)
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.
© 2021 Elsevier Inc. All rights reserved
© 2021 Elsevier Inc. All rights reserved
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.
In: Journal of Differential Equations, Vol. 282, 05.05.2021, p. 285-329.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review