Linear Quadratic Stochastic Two-Person Zero-Sum Differential Games In An Infinite Horizon
Keywords
Algebraic Riccati equation; Infinite horizon; Linear quadratic stochastic differential game; Open-loop and closed-loop saddle points; Stabilizing solution; Two-person; Zero-sum
Abstract
This paper is concerned with a linear quadratic stochastic two-person zero-sum differential game with constant coefficients in an infinite time horizon. Open-loop and closed-loop saddle points are introduced. The existence of closed-loop saddle points is characterized by the solvability of an algebraic Riccati equation with a certain stabilizing condition. A crucial result makes our approach work is the unique solvability of a class of linear backward stochastic differential equations in an infinite horizon.
Publication Date
7-1-2016
Publication Title
ESAIM - Control, Optimisation and Calculus of Variations
Volume
22
Issue
3
Number of Pages
743-769
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1051/cocv/2015024
Copyright Status
Unknown
Socpus ID
84977138765 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84977138765
STARS Citation
Sun, Jingrui; Yong, Jiongmin; and Zhang, Shuguang, "Linear Quadratic Stochastic Two-Person Zero-Sum Differential Games In An Infinite Horizon" (2016). Scopus Export 2015-2019. 3568.
https://stars.library.ucf.edu/scopus2015/3568