Decentralized Strategies for Backward Linear-Quadratic Mean Field Games and Teams

Fuente: arXiv
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Auteurs principaux: Si, Yu, Shi, Jingtao
Format: Preprint
Publié: 2025
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author Si, Yu
Shi, Jingtao
author_facet Si, Yu
Shi, Jingtao
contents This paper studies a new class of linear-quadratic mean field games and teams problem, where the large-population system satisfies a class of $N$ weakly coupled linear backward stochastic differential equations (BSDEs), and $z_i$ (a part of solution of BSDE) enter the state equations and cost functionals. By virtue of stochastic maximum principle and optimal filter technique, we obtain a Hamiltonian system first, which is a fully coupled forward-backward stochastic differential equation (FBSDE). Decoupling the Hamiltonian system, we derive a feedback form optimal strategy by introducing Riccati equations, stochastic differential equation (SDE) and BSDE. Finally, we provide a numerical example to simulate our results.
format Preprint
id arxiv_https___arxiv_org_abs_2501_04717
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Decentralized Strategies for Backward Linear-Quadratic Mean Field Games and Teams
Si, Yu
Shi, Jingtao
Optimization and Control
93E20, 60H10, 49K45, 49N70, 91A23
This paper studies a new class of linear-quadratic mean field games and teams problem, where the large-population system satisfies a class of $N$ weakly coupled linear backward stochastic differential equations (BSDEs), and $z_i$ (a part of solution of BSDE) enter the state equations and cost functionals. By virtue of stochastic maximum principle and optimal filter technique, we obtain a Hamiltonian system first, which is a fully coupled forward-backward stochastic differential equation (FBSDE). Decoupling the Hamiltonian system, we derive a feedback form optimal strategy by introducing Riccati equations, stochastic differential equation (SDE) and BSDE. Finally, we provide a numerical example to simulate our results.
title Decentralized Strategies for Backward Linear-Quadratic Mean Field Games and Teams
topic Optimization and Control
93E20, 60H10, 49K45, 49N70, 91A23
url https://arxiv.org/abs/2501.04717