On the continuity of the probabilistic representation of a semilinear Neumann–Dirichlet problem
Lucian Maticiuc and
Aurel Răşcanu
Stochastic Processes and their Applications, 2016, vol. 126, issue 2, 572-607
Abstract:
In this article we prove the continuity of the deterministic function u:[0,T]×D̄→R, defined by u(t,x):=Ytt,x, where the process (Yst,x)s∈[t,T] is given by the generalized multivalued backward stochastic differential equation:{−dYst,x+∂φ(Yst,x)ds+∂ψ(Yst,x)dAst,x∋f(s,Xst,x,Yst,x)ds+g(s,Xst,x,Yst,x)dAst,x−Zst,xdWs,t≤sKeywords: Feynman–Kac formula; Reflected diffusion processes; Continuity w.r.t. initial data; Neumann–Dirichlet boundary conditions (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S030441491500229X
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:spapps:v:126:y:2016:i:2:p:572-607
Ordering information: This journal article can be ordered from
http://http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01
DOI: 10.1016/j.spa.2015.09.011
Access Statistics for this article
Stochastic Processes and their Applications is currently edited by T. Mikosch
More articles in Stochastic Processes and their Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().