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Autor principal: González, Agustín Muñoz
Formato: Preprint
Publicado: 2026
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Acceso en línea:https://arxiv.org/abs/2603.16534
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author González, Agustín Muñoz
author_facet González, Agustín Muñoz
contents This work extends the theory presented in Mean Field Games with a Dominating Player by Bensoussan, Chau and Yam on mean field games with a dominating player, to the case in which the utility and cost functions depend not only on the law of the states, but on the joint state--control law. We incorporate the conditional distribution of the state--control pair of the representative agent given the common noise of the dominating player. In addition, we generalize the role of the dominating player to include the direct impact of its controls $u_0$ on the dynamics and functionals of the system. The optimization problems are reformulated in terms of the conditional distribution of the state--control pair, the necessary optimality conditions are established via stochastic maximum principles, and a coupled SHJB--FP system of equations is obtained that synthesizes the equilibrium conditions. This framework provides a significant extension of the existing literature on MFG with a dominating player.
format Preprint
id arxiv_https___arxiv_org_abs_2603_16534
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle An Extension of Major-Minor Mean Field Game Theory
González, Agustín Muñoz
Optimization and Control
Dynamical Systems
This work extends the theory presented in Mean Field Games with a Dominating Player by Bensoussan, Chau and Yam on mean field games with a dominating player, to the case in which the utility and cost functions depend not only on the law of the states, but on the joint state--control law. We incorporate the conditional distribution of the state--control pair of the representative agent given the common noise of the dominating player. In addition, we generalize the role of the dominating player to include the direct impact of its controls $u_0$ on the dynamics and functionals of the system. The optimization problems are reformulated in terms of the conditional distribution of the state--control pair, the necessary optimality conditions are established via stochastic maximum principles, and a coupled SHJB--FP system of equations is obtained that synthesizes the equilibrium conditions. This framework provides a significant extension of the existing literature on MFG with a dominating player.
title An Extension of Major-Minor Mean Field Game Theory
topic Optimization and Control
Dynamical Systems
url https://arxiv.org/abs/2603.16534