Extrinsic derivatives for SDEs and SPDEs with distribution dependent noise

Fuente: arXiv
Guardado en:
Detalles Bibliográficos
Autores principales: Ma, Xiaochen, Ren, Panpan
Formato: Preprint
Publicado: 2026
Materias:
Acceso en línea:
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866908827622834176
author Ma, Xiaochen
Ren, Panpan
author_facet Ma, Xiaochen
Ren, Panpan
contents The Bismut formula is a crucial tool characterizing regularities of stochastic systems, and has been extensively studied for various models. However it is not yet available for SDEs with distribution dependent noise. In this paper, we first establish a Bismut type formula for the extrinsic derivative of McKean-Vlasov SDEs driven by distribution dependent noise, then make an extension to a class of distribution dependent SPDEs.
format Preprint
id arxiv_https___arxiv_org_abs_2602_10672
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Extrinsic derivatives for SDEs and SPDEs with distribution dependent noise
Ma, Xiaochen
Ren, Panpan
Probability
The Bismut formula is a crucial tool characterizing regularities of stochastic systems, and has been extensively studied for various models. However it is not yet available for SDEs with distribution dependent noise. In this paper, we first establish a Bismut type formula for the extrinsic derivative of McKean-Vlasov SDEs driven by distribution dependent noise, then make an extension to a class of distribution dependent SPDEs.
title Extrinsic derivatives for SDEs and SPDEs with distribution dependent noise
topic Probability
url https://arxiv.org/abs/2602.10672