CONTROL ON HILBERT SPACES AND APPLICATION TO SOME MEAN FIELD TYPE CONTROL PROBLEMS

被引:0
作者
Bensoussan, Alain [1 ]
Graber, P. Jameson [2 ]
Yam, Sheung Chi Phillip [3 ]
机构
[1] Univ Texas Dallas, Int Ctr Decis & Risk Anal, Jindal Sch Management, Dallas, TX 75080 USA
[2] Baylor Univ, Dept Math, Waco, TX USA
[3] Chinese Univ Hong Kong, Dept Stat, Hong Kong, Peoples R China
基金
美国国家科学基金会;
关键词
Mean field type control; Bellman equation; master equation; STOCHASTIC DIFFERENTIAL-EQUATIONS; GAMES;
D O I
10.1214/24-AAP2060
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
We propose a new approach to studying classical solutions of the second order Bellman equation and master equation for mean field type control problems, using a novel form of the "lifting" idea introduced by P.-L. Lions. Rather than studying the usual system of Hamilton-Jacobi/Fokker-Planck PDEs using analytic techniques, we instead study a stochastic control problem on a specially constructed Hilbert space, which is reminiscent of a tangent space on the Wasserstein space in optimal transport. On this Hilbert space we can use classical control theory techniques, despite the fact that it is infinite-dimensional. A consequence of our construction is that the mean field type control problem appears as a special case. Thus we preserve the advantages of the lifting procedure, while removing some of the difficulties. Our approach extends previous work by two of the coauthors, which dealt with a deterministic control problem for which the Hilbert space could be generic ( ESAIM Control Optim. Calc. Var. 25 (2019) 1-36).
引用
收藏
页码:4085 / 4136
页数:52
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