Optimal control problems of fully coupled FBSDEs and viscosity solutions of Hamilton-Jacobi-Bellman equations
Juan Li, Qingmeng Wei

TL;DR
This paper investigates stochastic optimal control problems involving fully coupled FBSDEs, establishing the deterministic nature of value functions, their viscosity solutions to HJB equations, and addressing complexities when diffusion coefficients depend on solution components.
Contribution
It introduces a new method to prove the value functions satisfy the DPP and are viscosity solutions, handling cases where diffusion coefficients depend on the solution's Z component.
Findings
Value functions are deterministic and satisfy DPP.
Existence and uniqueness of solutions for fully coupled FBSDEs under certain conditions.
The associated HJB equations are linked with algebraic equations, with solutions characterized.
Abstract
In this paper we study stochastic optimal control problems of fully coupled forward-backward stochastic differential equations (FBSDEs). The recursive cost functionals are defined by controlled fully coupled FBSDEs. We study two cases of diffusion coefficients of FSDEs. We use a new method to prove that the value functions are deterministic, satisfy the dynamic programming principle (DPP), and are viscosity solutions to the associated generalized Hamilton-Jacobi-Bellman (HJB) equations. The associated generalized HJB equations are related with algebraic equations when depends on the second component of the solution of the BSDE and doesn't depend on the control. For this we adopt Peng's BSDE method, and so in particular, the notion of stochastic backward semigroup in [16]. We emphasize that the fact that also depends on makes the stochastic control…
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Taxonomy
TopicsStochastic processes and financial applications · Economic theories and models · Insurance, Mortality, Demography, Risk Management
