Linear-Quadratic Mean Field Stackelberg Stochastic Differential Game with Partial Information and Common Noise

Fuente: arXiv
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Main Authors: Si, Yu, Shi, Jingtao
Format: Preprint
Published: 2024
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author Si, Yu
Shi, Jingtao
author_facet Si, Yu
Shi, Jingtao
contents This paper is concerned with a linear-quadratic mean field Stackelberg stochastic differential game with partial information and common noise, which contains a leader and a large number of followers. To be specific, the followers face a large population Nash game after the leader first announces his strategy, while the leader will then optimize his own cost functional on consideration of the followers' reactions. The state equation of the leader and followers are both general stochastic differential equations, where the diffusion terms contain both the control and state variables. However, the followers' average state terms enter into the drift term of the leader's state equation, reflecting that the leader's state is influenced by the followers' states. By virtue of stochastic maximum principle with partial information and optimal filter technique, we deduce the open-loop adapted decentralized strategies and feedback decentralized strategies of this leader-followers system, and demonstrate that the decentralized strategies are the corresponding $\varepsilon$-Stackelberg-Nash equilibrium.
format Preprint
id arxiv_https___arxiv_org_abs_2405_03102
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Linear-Quadratic Mean Field Stackelberg Stochastic Differential Game with Partial Information and Common Noise
Si, Yu
Shi, Jingtao
Optimization and Control
93E20, 60H10, 49K45, 49N70, 91A23
This paper is concerned with a linear-quadratic mean field Stackelberg stochastic differential game with partial information and common noise, which contains a leader and a large number of followers. To be specific, the followers face a large population Nash game after the leader first announces his strategy, while the leader will then optimize his own cost functional on consideration of the followers' reactions. The state equation of the leader and followers are both general stochastic differential equations, where the diffusion terms contain both the control and state variables. However, the followers' average state terms enter into the drift term of the leader's state equation, reflecting that the leader's state is influenced by the followers' states. By virtue of stochastic maximum principle with partial information and optimal filter technique, we deduce the open-loop adapted decentralized strategies and feedback decentralized strategies of this leader-followers system, and demonstrate that the decentralized strategies are the corresponding $\varepsilon$-Stackelberg-Nash equilibrium.
title Linear-Quadratic Mean Field Stackelberg Stochastic Differential Game with Partial Information and Common Noise
topic Optimization and Control
93E20, 60H10, 49K45, 49N70, 91A23
url https://arxiv.org/abs/2405.03102