Linear-quadratic mixed Stackelberg-zero-sum game for mean-field regime switching system

Abstract: Motivated by a product pricing problem, a linear-quadratic Stackelberg differential game for a regime switching system involving one leader and two followers is studied. The two followers engage in a zero-sum differential game, and both the state system and the cost functional incorporate a conditional mean-field term. Applying continuation method and induction method, we first establish the existence and uniqueness of a conditional mean-field forward-backward stochastic differential equation with Markovian switching. Based on it, we prove the unique solvability of Hamiltonian systems for the two followers and the leader. Moreover, utilizing stochastic maximum principle, decoupling approach and optimal filtering technique, the optimal feedback strategies of two followers and leader are obtained. Employing the theoretical results, we solve a product pricing problem with some numerical simulations.