Ergodic McKean-Vlasov Games: Verification Theorems and Linear-Quadratic Applications
Qingshuo Song, Gu Wang, Zuo Quan Xu, Chao Zhu

TL;DR
This paper develops verification theorems for ergodic McKean-Vlasov games, linking solutions of coupled HJB Master equations to Nash equilibria, and applies the theory to explicit LQG models.
Contribution
It introduces a verification framework for ergodic McKean-Vlasov games and derives explicit solutions in LQG settings using polynomial measure structures.
Findings
Unique determination of value functions by invariant measures
Verification theorem connecting HJB Master equations to Nash equilibria
Explicit solutions for LQG models
Abstract
This paper investigates two-player ergodic nonzero-sum stochastic differential games with McKean-Vlasov dynamics. We establish a verification theorem connecting solutions of coupled Hamilton-Jacobi-Bellman (HJB) Master equations to Nash equilibria, characterized through an auxiliary control problem defined on the measure space. A key contribution is showing that the value functions are uniquely determined (up to an additive constant) by the uniqueness of the invariant measure of the optimal state process. The theory is applied to Linear-Quadratic-Gaussian (LQG) settings, where explicit solutions to the Master equations are derived by exploiting their polynomial structure in measure variables.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMathematical Biology Tumor Growth · Stochastic processes and financial applications · Gas Dynamics and Kinetic Theory
