Linear-Quadratic -Person and Mean-Field Games: Infinite Horizon Games with Discounted Cost and Singular Limits

被引:0
作者
Priuli, Fabio S. [1 ]
机构
[1] CNR, Ist Applicaz Calcolo M Picone, Rome, Italy
关键词
Linear-quadratic differential games; Nash equilibria; Mean field games; NASH; SYSTEMS;
D O I
10.1007/s13235-014-0129-8
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
We consider stochastic differential games with nearly identical players, linear-Gaussian dynamics, and infinite horizon discounted quadratic cost. Admissible controls are feedbacks for which the system is ergodic. We first study the existence of affine Nash equilibria by means of an associated system of Hamilton-Jacobi-Bellman and Kolmogorov-Fokker-Planck partial differential equations, proving that for small discount factors quadratic-Gaussian solutions exist and are unique. Then, we prove the convergence of such solutions to the unique quadratic-Gaussian solution of the pair of Mean Field equations. We also discuss some singular limits, such as vanishing discount, vanishing noise, and cheap control.
引用
收藏
页码:397 / 419
页数:23
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