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Lipschitz stability for determination of states and inverse source problem for the mean field game equations

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arxiv 2304.06673 v1 pith:S2YCN7GA submitted 2023-04-13 math.AP

classification math.AP
keywords omegadatalipschitzstabilitytimevarepsilonboundarydetermination
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abstract

We consider solutions satisfying the zero Neumann boundary condition and a linearized mean field game equation in $\Omega \times (0,T)$ whose principal coefficients depend on the time and spatial variables with general Hamiltonian, where $\Omega$ is a bounded domain in $\Bbb R^d$ and $(0,T)$ is the time interval. We first prove the Lipschitz stability in $\Omega \times (\varepsilon, T-\varepsilon)$ with given $\varepsilon>0$ for the determination of the solutions by Dirichlet data on arbitrarily chosen subboundary of $\partial\Omega$. 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 intermediate time.

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  1. Gaussian process policy iteration with additive Schwarz acceleration for forward and inverse HJB and mean field game problems

    cs.LG 2025-05 conditional novelty 6.0 of 10

    GPPI-AS offers a mesh-free, closed-form policy iteration solver for HJB and mean field game forward and inverse problems, with Schwarz acceleration cutting iterations roughly in half.

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