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

A. Bensoussan, S. C P Yam*, Z. Zhang

*Corresponding author for this work

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    60 Citations (Scopus)

    Abstract

    Abstract 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.
    Original languageEnglish
    Article number2778
    Pages (from-to)3327-3354
    JournalStochastic Processes and their Applications
    Volume125
    Issue number9
    DOIs
    Publication statusPublished - 1 Sept 2015

    Research Keywords

    • Forward-backward stochastic differential equations
    • Linear-quadratic setting
    • Mean-field type
    • Monotonicity conditions
    • Well-posedness

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