Ergodic McKean-Vlasov Games: Verification Theorems and Linear-Quadratic Applications

Fuente: arXiv
Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Song, Qingshuo, Wang, Gu, Xu, Zuo Quan, Zhu, Chao
Format: Preprint
Veröffentlicht: 2025
Schlagworte:
Online-Zugang:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866915851400118272
author Song, Qingshuo
Wang, Gu
Xu, Zuo Quan
Zhu, Chao
author_facet Song, Qingshuo
Wang, Gu
Xu, Zuo Quan
Zhu, Chao
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2505_01972
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Ergodic McKean-Vlasov Games: Verification Theorems and Linear-Quadratic Applications
Song, Qingshuo
Wang, Gu
Xu, Zuo Quan
Zhu, Chao
Optimization and Control
93E20, 91A15, 91A23
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.
title Ergodic McKean-Vlasov Games: Verification Theorems and Linear-Quadratic Applications
topic Optimization and Control
93E20, 91A15, 91A23
url https://arxiv.org/abs/2505.01972