Title
Mean-Field Backward Stochastic Volterra Integral Equations
Keywords
Duality principle; Maximum principle; Mean-field backward stochastic Volterra integral equation; Mean-field stochastic Volterra integral equation
Abstract
Mean-field backward stochastic Volterra integral equations (MFBSVIEs, for short) are introduced and studied. Well-posedness of MF-BSVIEs in the sense of introduced adapted M-solutions is established. Two duality principles between linear mean-field (forward) stochastic Volterra integral equations (MF-FSVIEs, for short) and MF-BSVIEs are obtained. A Pontryagin's type maximum principle is established for an optimal control of MF-FSVIEs.
Publication Date
9-1-2013
Publication Title
Discrete and Continuous Dynamical Systems - Series B
Volume
18
Issue
7
Number of Pages
1929-1967
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.3934/dcdsb.2013.18.1929
Copyright Status
Unknown
Socpus ID
84879105336 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84879105336
STARS Citation
Shi, Yufeng; Wang, Tianxiao; and Yong, Jiongmin, "Mean-Field Backward Stochastic Volterra Integral Equations" (2013). Scopus Export 2010-2014. 6194.
https://stars.library.ucf.edu/scopus2010/6194