Long time average of mean field games

Long time average of mean field games
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DOI:
10.3934/nhm.2012.7.279
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发表时间:
2012-06
期刊:
Networks Heterog. Media
影响因子:
--
通讯作者:
P. Cardaliaguet;J. Lasry;P. Lions;A. Porretta
P. Cardaliaguet;J. Lasry;P. Lions;A. Porretta
中科院分区:
其他
文献类型:
--
作者:
P. Cardaliaguet;J. Lasry;P. Lions;A. Porretta

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考虑了一个定义在时间区间$[0,T]$上的平均场对策系统模型,研究了当视界$T $趋于无穷大时该系统的渐近行为。我们表明,该系统,以适当的方式重新缩放,收敛到一个平稳的遍历平均场游戏。该收敛性依赖于能量估计和系统的哈密顿结构,并以指数速度保持。
We consider a model of mean field games system defined on a time interval $[0,T]$ and investigate its asymptotic behavior as the horizon $T$ tends to infinity. We show that the system, rescaled in a suitable way, converges to a stationary ergodic mean field game. The convergence holds with exponential rate and relies on energy estimates and the Hamiltonian structure of the system.