Multivalued backward stochastic differential equations with oblique subgradients
Anouar M. Gassous,
Aurel Răşcanu and
Eduard Rotenstein
Stochastic Processes and their Applications, 2015, vol. 125, issue 8, 3170-3195
Abstract:
We study the existence and uniqueness of the solution for the following backward stochastic variational inequality with oblique reflection (for short, BSVI(H(t,y)∂φ(y))), written under differential form {−dYt+H(t,Yt)∂φ(Yt)(dt)∋F(t,Yt,Zt)dt−ZtdBt,t∈[0,T],YT=η, where H is a bounded symmetric smooth matrix and φ is a proper convex lower semicontinuous function, with ∂φ being its subdifferential operator. The presence of the product H∂φ does not permit the use of standard techniques because it conserves neither the Lipschitz property of the matrix nor the monotonicity property of the subdifferential operator. We prove that, if we consider the dependence of H only on the time, the equation admits a unique strong solution and, allowing the dependence on the state of the system, the above BSVI(H(t,y)∂φ(y)) admits a weak solution in the sense of the Meyer–Zheng topology. However, for that purpose we must renounce at the dependence on Z for the generator function and we situate our problem in a Markovian framework.
Keywords: Multivalued backward stochastic differential equations; Oblique reflection; Subdifferential operators; Meyer–Zheng topology (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S030441491500068X
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:125:y:2015:i:8:p:3170-3195
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.2015.03.001
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 ().