TY - GEN
T1 - Nonlinear Mean Field Games with Multiple Major Agents and Multiple Populations of Minor Agents
AU - Zhang, Xuanping
AU - Ren, Lu
AU - Yao, Wang
AU - Zhang, Xiao
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - The paper studies a nonlinear mean field game (MFG) model based on McKean-Vlasov (MV) approximation, which involves multiple major agents and multiple populations of minor agents. Since the interactions occur not only between major-minor agents but also among major-major agents and minor-minor populations, complicating equilibrium existence analysis, we first cast the MFG as two sets of adjoint stochastic McKean-Vlasov equations coupled via the mean field behavior. Subsequently, a new norm on the product probability measure space is constructed to prove that one set of equations exists solutions, while the existence of solutions to the other set is proved based on Pontryagin stochastic maximum principle. Then, within the established product normed space, Banach's fixed point theorem is utilized to prove the existence of equilibrium for this MFG, which is manifested as solutions to two sets of coupled equations. Finally, an ϵ-Nash equilibrium is proved for the finite agent situation, in which ϵ →0 while all population sizes go to ∞, and a numerical experiment under certain settings is carried out.
AB - The paper studies a nonlinear mean field game (MFG) model based on McKean-Vlasov (MV) approximation, which involves multiple major agents and multiple populations of minor agents. Since the interactions occur not only between major-minor agents but also among major-major agents and minor-minor populations, complicating equilibrium existence analysis, we first cast the MFG as two sets of adjoint stochastic McKean-Vlasov equations coupled via the mean field behavior. Subsequently, a new norm on the product probability measure space is constructed to prove that one set of equations exists solutions, while the existence of solutions to the other set is proved based on Pontryagin stochastic maximum principle. Then, within the established product normed space, Banach's fixed point theorem is utilized to prove the existence of equilibrium for this MFG, which is manifested as solutions to two sets of coupled equations. Finally, an ϵ-Nash equilibrium is proved for the finite agent situation, in which ϵ →0 while all population sizes go to ∞, and a numerical experiment under certain settings is carried out.
UR - https://www.scopus.com/pages/publications/105031900092
U2 - 10.1109/CDC57313.2025.11312467
DO - 10.1109/CDC57313.2025.11312467
M3 - 会议稿件
AN - SCOPUS:105031900092
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 6330
EP - 6337
BT - 2025 IEEE 64th Conference on Decision and Control, CDC 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 64th IEEE Conference on Decision and Control, CDC 2025
Y2 - 9 December 2025 through 12 December 2025
ER -