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On optimal control of coupled mean-field forward-backward stochastic equations

  • Badreddine Mansouri EMAIL logo , Brahim Mezerdi ORCID logo and Khaled Bahlali
Published/Copyright: October 2, 2024

Abstract

We consider a control problem for a mean-field coupled forward-backward stochastic differential equations, called also McKean–Vlasov equation (MF-FBSDE). For this type of equations, the coefficients depend not only on the state of the system, but also on its marginal distributions. They arise naturally in mean-field control problems and mean-field games. We consider the relaxed control problem where admissible controls are measure-valued processes. We prove the existence of a relaxed optimal control by using a suitable form of Skorokhod representation theorem and Jakubowski’s topology, on the space of càdlàg functions. We use martingale measure to define the relaxed state process. Our results extend to MF-FBSDEs those already known for forward and backward stochastic equations of Itô type.


Communicated by Anatoly F. Turbin


Funding statement: The second author would like to acknowledge the support provided by the Deanship of Scientific Research (DSR) at King Fahd University of Petroleum and Minerals, KSA (KFUPM), for funding this work through Project No. SB 201017.

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Received: 2023-09-20
Accepted: 2024-03-04
Published Online: 2024-10-02
Published in Print: 2024-11-01

© 2024 Walter de Gruyter GmbH, Berlin/Boston

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