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Title: Mean-field linear-quadratic stochastic differential games in an infinite horizon
This paper is concerned with two-person mean-field linear-quadratic non-zero sum stochastic differential games in an infinite horizon. Both open-loop and closed-loop Nash equilibria are introduced. The existence of an open-loop Nash equilibrium is characterized by the solvability of a system of mean-field forward-backward stochastic differential equations in an infinite horizon and the convexity of the cost functionals, and the closed-loop representation of an open-loop Nash equilibrium is given through the solution to a system of two coupled non-symmetric algebraic Riccati equations. The existence of a closed-loop Nash equilibrium is characterized by the solvability of a system of two coupled symmetric algebraic Riccati equations. Two-person mean-field linear-quadratic zero-sum stochastic differential games in an infinite horizon are also considered. Both the existence of open-loop and closed-loop saddle points are characterized by the solvability of a system of two coupled generalized algebraic Riccati equations with static stabilizing solutions. Mean-field linear-quadratic stochastic optimal control problems in an infinite horizon are discussed as well, for which it is proved that the open-loop solvability and closed-loop solvability are equivalent.  more » « less
Award ID(s):
1812921
PAR ID:
10341970
Author(s) / Creator(s):
; ;
Date Published:
Journal Name:
ESAIM: Control, Optimisation and Calculus of Variations
Volume:
27
ISSN:
1292-8119
Page Range / eLocation ID:
81
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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