Comparison Theorems For Some Backward Stochastic Volterra Integral Equations
Keywords
Backward stochastic Volterra integral equation; Comparison theorem; Duality principle; Forward stochastic Volterra integral equations
Abstract
For some backward stochastic Volterra integral equations (BSVIEs) in multi-dimensional Euclidean spaces, comparison theorems are established in a systematic way for the adapted solutions and adapted M-solutions. For completeness, comparison theorems for (forward) stochastic differential equations, backward stochastic differential equations, and (forward) stochastic Volterra integral equations (FSVIEs) are also presented. Duality principles are used in some relevant proofs. Also, it is found that certain kinds of monotonicity conditions play crucial roles to guarantee the comparison theorems for FSVIEs and BSVIEs to be true. Various counterexamples show that the assumed conditions are almost necessary in some sense.
Publication Date
1-1-2015
Publication Title
Stochastic Processes and their Applications
Volume
125
Issue
5
Number of Pages
1756-1798
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1016/j.spa.2014.11.013
Copyright Status
Unknown
Socpus ID
85027940255 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85027940255
STARS Citation
Wang, Tianxiao and Yong, Jiongmin, "Comparison Theorems For Some Backward Stochastic Volterra Integral Equations" (2015). Scopus Export 2015-2019. 441.
https://stars.library.ucf.edu/scopus2015/441