arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2306.03349math.AP
收藏

Mean Field Games 系统的一个系数反问题

A Coefficient Inverse Problem for the Mean Field Games System

Michael V. Klibanov

AI总结:

本文研究了二阶 Mean Field Games System 的系数反问题,利用单次测量生成的横向 Cauchy 数据和固定时刻解,通过 Carleman 估计方法证明了 Hölder 稳定性和解的唯一性。

摘要:

本文考虑了确定二阶 Mean Field Games System (MFGS) 系数的 Coefficient Inverse Problem (CIP)。输入数据由单次测量事件生成。对于构成 MFGS 的两个方程的解,给出了横向 Cauchy 数据,即 Dirichlet 和 Neumann 边界数据。此外,这两个方程的解在固定时刻也是给定的。对于完整和不完整的横向 Cauchy 数据,均获得了 Hölder 稳定性估计。这些估计意味着该 CIP 的唯一性。Carleman 估计方法是本文的主要数学工具。

英文摘要:

A Coefficient Inverse Problem (CIP) of the determination of a coefficient of the Mean Field Games System (MFGS) of the second order is considered. The input data are generated by a single measurement event. Lateral Cauchy data, i.e. Dirichlet and Neumann boundary data are given for solutions of both equations forming the MFGS. In addition, solutions of both these equations are given at a fixed moment of time. Hölder stability estimates are obtained for both complete and incomplete lateral Cauchy data. These estimates imply uniqueness of our CIP. The apparatus of Carleman estimates is the main mathematical tool of this paper.

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。

↑