Stochastic Control with Delayed Information and Related Nonlinear Master Equation

TL;DR

This paper investigates stochastic control problems with delayed information, revealing their connection to nonlinear master equations and McKean-Vlasov SDEs, and establishes existence results for solutions in certain cases.

Contribution

It rigorously links delayed information control problems to nonlinear master equations and McKean-Vlasov SDEs, providing existence results for solutions in specific scenarios.

Findings

Delayed information leads to nonlinear master equations.

Optimal control involves McKean-Vlasov SDEs with distribution dependence.

Existence of classical solutions is established in special cases.

Abstract

In this paper we study stochastic control problems with delayed information, that is, the control at time $t$ can depend only on the information observed before time $t-H$ for some delay parameter $H$. Such delay occurs frequently in practice and can be viewed as a special case of partial observation. When the time duration $T$ is smaller than $H$, the problem becomes a deterministic control problem in stochastic setting. While seemingly simple, the problem involves certain time inconsistency issue, and the value function naturally relies on the distribution of the state process and thus is a solution to a nonlinear master equation. Consequently, the optimal state process solves a McKean-Vlasov SDE. In the general case that $T$ is larger than $H$, the master equation becomes path-dependent and the corresponding McKean-Vlasov SDE involves the conditional distribution of the state process. We shall build these connections rigorously, and obtain the existence of classical solution of these nonlinear (path-dependent) master equations in a special case.