Hölder stability and uniqueness for the mean field games system via Carleman estimates

Author:

Klibanov Michael V.1,Li Jingzhi2,Liu Hongyu3ORCID

Affiliation:

1. Department of Mathematics and Statistics University of North Carolina at Charlotte Charlotte North Carolina USA

2. Department of Mathematics & National Center for Applied Mathematics Shenzhen & SUSTech International Center for Mathematics Southern University of Science and Technology Shenzhen China

3. Department of Mathematics City University of Hong Kong Kowloon Hong Kong China

Abstract

AbstractWe are concerned with the mathematical study of the mean field games system (MFGS). In the conventional setup, the MFGS is a system of two coupled nonlinear parabolic partial differential equation (PDE)s of the second order in a backward–forward manner, namely, one terminal and one initial condition are prescribed, respectively, for the value function and the population density . In this paper, we show that uniqueness of solutions to the MFGS can be guaranteed if, among all four possible terminal and initial conditions, either only two terminals or only two initial conditions are given. In both cases, Hölder stability estimates are proven. This means that the accuracies of the solutions are estimated in terms of the given data. Moreover, these estimates readily imply uniqueness of corresponding problems for the MFGS. The main mathematical apparatus to establish those results is two new Carleman estimates, which may find application in other contexts associated with coupled parabolic PDEs.

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Applied Mathematics

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