平稳平均场博弈的离散逼近

IF 1.1 Q3 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
T. Bakaryan, D. Gomes, H'ector S'anchez Morgado
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引用次数: 1

摘要

本文主要研究平稳(遍历)平均场对策(mfg)。这些游戏是在研究有限视界mmo游戏的长期行为时出现的。在Aubry-Mather理论中引入的Hamilton-Jacobi方程的先验格式的激励下,我们引入了平稳mfg的离散逼近。利用Kakutani不动点定理,证明了离散问题解的存在唯一性(直至可加常数)。此外,我们还证明了离散问题的解在非局部情况下一致收敛于稳态问题的经典解,而在局部情况下则弱收敛于经典解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Discrete approximation of stationary Mean Field Games
In this paper, we focus on stationary (ergodic) mean-field games (MFGs). These games arise in the study of the long-time behavior of finite-horizon MFGs. Motivated by a prior scheme for Hamilton–Jacobi equations introduced in Aubry–Mather's theory, we introduce a discrete approximation to stationary MFGs. Relying on Kakutani's fixed-point theorem, we prove the existence and uniqueness (up to additive constant) of solutions to the discrete problem. Moreover, we show that the solutions to the discrete problem converge, uniformly in the nonlocal case and weakly in the local case, to the classical solutions of the stationary problem.
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来源期刊
Journal of Dynamics and Games
Journal of Dynamics and Games MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-
CiteScore
2.00
自引率
0.00%
发文量
26
期刊介绍: The Journal of Dynamics and Games (JDG) is a pure and applied mathematical journal that publishes high quality peer-review and expository papers in all research areas of expertise of its editors. The main focus of JDG is in the interface of Dynamical Systems and Game Theory.
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