Mean Field Games with Major and Minor Agents: the Limiting Problem and Nash Equilibrium

TL;DR

This paper studies a mean field game with one major and many minor agents, analyzing the limiting problem with nonlinear coefficients and constructing an approximate Nash equilibrium using coupled FBSDEs.

Contribution

It introduces a novel approach to solving MFGs with a major agent by formulating coupled FBSDEs and establishing an approximate Nash equilibrium.

Findings

Existence and uniqueness of coupled FBSDEs under weak dependence.

Construction of an $ ext{O}(N^{-rac{1}{2}})$-Nash equilibrium.

Extension to nonlinear coefficient dependence on conditional distributions.

Abstract

In this paper, we consider a mean field game (MFG) with a major and $N$ minor agents. We first consider the limiting problem and allow the coefficients to vary with the conditional distribution in a nonlinear way. We use the stochastic maximum principle to transform the limiting control problem into a system of two coupled conditional distribution dependent forward-backward stochastic differential equations (FBSDEs), and prove the existence and uniqueness result of the FBSDEs when the dependence between major agent and minor agents is sufficiently weak. We then use the solution of the limiting problem to construct an $\mathcal{O}(N^{-\frac{1}{2}})$-Nash equilibrium for the MFG with a major and $N$ minor agents.