LIPSCHITZ STABILITY FOR DETERMINATION OF STATES AND INVERSE SOURCE PROBLEM FOR THE MEAN FIELD GAME EQUATIONS

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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Detail(s)

Original languageEnglish
Pages (from-to)824-859
Journal / PublicationInverse Problems and Imaging
Volume18
Issue number4
Online publishedJan 2024
Publication statusPublished - Aug 2024

Abstract

In a bounded domain Ω ⊂ ℝd, d ≥ 1, over a time interval (0, T), we consider mean field game equations whose principal coefficients depend on the time and the state variables with a general Hamiltonian. We attach a non-zero Robin boundary condition. We first prove the Lipschitz stability in Ω × (ε, T − ε) with given ε > 0 for the determination of the solutions by the associated Dirichlet data on an arbitrarily chosen subboundary of ∂Ω. Next we prove the Lipschitz stability for an inverse problem of determining spatially varying factors of source terms and a coefficient by extra boundary data and spatial data at an intermediate time. © 2024, American Institute of Mathematical Sciences. All rights reserved.

Research Area(s)

  • Carleman estimate, inverse problems, Mean field games, stability, uniqueness