Well-posedness of mean-field type forward-backward stochastic differential equations

被引:55
作者
Bensoussan, A. [1 ,2 ]
Yam, S. C. P. [3 ]
Zhang, Z. [3 ]
机构
[1] Univ Texas Dallas, Jindal Sch Management, Int Ctr Decis & Risk Anal, Richardson, TX 75083 USA
[2] City Univ Hong Kong, Coll Sci & Engn, Dept Syst Engn & Engn Management, Hong Kong, Hong Kong, Peoples R China
[3] Chinese Univ Hong Kong, Dept Stat, Hong Kong, Hong Kong, Peoples R China
基金
美国国家科学基金会;
关键词
Mean-field type; Forward-backward stochastic differential equations; Monotonicity conditions; Well-posedness; Linear-quadratic setting;
D O I
10.1016/j.spa.2015.04.006
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
Being motivated by a recent pioneer work Carmona and Delarue (2013), in this article, we propose a broad class of natural monotonicity conditions under which the unique existence of the solutions to Mean-Field Type (MFT) Forward-Backward Stochastic Differential Equations (FBSDE) can be established. Our conditions provided here are consistent with those normally adopted in the traditional FBSDE (without the interference of a mean-field) frameworks, and give a generic explanation on the unique existence of solutions to common MFT-FBSDEs, such as those in the linear-quadratic setting; besides, the conditions are 'optimal' in a certain sense that can elaborate on how their counter-example in Carmona and Delarue (2013) just fails to ensure its well-posedness. Finally, a stability theorem is also included. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:3327 / 3354
页数:28
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