arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2004.06505math.APmath.OC
收藏

带有状态约束的一阶 Mean Field Games 的弱 KAM 方法

Weak KAM approach to first-order Mean Field Games with state constraints

Piermarco Cannarsa, Wei Cheng, Cristian Mendico, Kaizhi Wang

AI总结:

本文基于弱 KAM 理论分析带状态约束的 Hamilton-Jacobi 方程并构造 Mather 测度,证明了受约束遍历 Mean Field Games 系统解的存在性与遍历常数唯一性,且当时间跨度趋于无穷时解收敛于遍历系统。

摘要:

我们研究当时间跨度 $T$ 趋于无穷大时,受约束 MFG 系统解的渐近行为。为此,我们从弱 KAM 理论视角分析了带有状态约束的 Hamilton-Jacobi 方程,为相应的变分问题构造了 Mather 测度。利用这些结果,我们证明了受约束的遍历 mean field games 系统的解存在,且遍历常数是唯一的。最后,我们证明了 $[0,T]$ 上的一阶受约束 MFG 问题的任意解在 $T \to +\infty$ 时收敛于遍历系统的解。

英文摘要:

We study the asymptotic behavior of solutions to the constrained MFG system as the time horizon $T$ goes to infinity. For this purpose, we analyze first Hamilton-Jacobi equations with state constraints from the viewpoint of weak KAM theory, constructing a Mather measure for the associated variational problem. Using these results, we show that a solution to the constrained ergodic mean field games system exists and the ergodic constant is unique. Finally, we prove that any solution of the first-order constrained MFG problem on $[0,T]$ converges to the solution of the ergodic system as $T \to +\infty$.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑