2015•arXiv (Cornell University)Open access

Logarithmic stability in determining a boundary coefficient in an ibvp\n for the wave equation

Kaïs Ammari, Mourad Choulli

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Abstract

In [2] we introduced a method combining together an observability inequality\nand a spectral decomposition to get a logarithmic stability estimate for the\ninverse problem of determining both the potential and the damping coefficient\nin a dissipative wave equation from boundary measurements. The present work\ndeals with an adaptation of that method to obtain a logarithmic stability\nestimate for the inverse problem of determining a boundary damping coefficient\nfrom boundary measurements. As in our preceding work, the different boundary\nmeasurements are generated by varying one of the initial conditions.\n

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In [2] we introduced a method combining together an observability inequality\nand a spectral decomposition to get a logarithmic stability estimate for the\ninverse problem of determining both the potential and the damping coefficient\nin a dissipative wave equation from boundary measurements. The present work\ndeals with an adaptation of that method to obtain a logarithmic stability\nestimate for the inverse problem of determining a boundary damping coefficient\nfrom boundary measurements. As in our preceding work, the different boundary\nmeasurements are generated by varying one of the initial conditions.\n

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Available abstract

In [2] we introduced a method combining together an observability inequality\nand a spectral decomposition to get a logarithmic stability estimate for the\ninverse problem of determining both the potential and the damping coefficient\nin a dissipative wave equation from boundary measurements. The present work\ndeals with an adaptation of that method to obtain a logarithmic stability\nestimate for the inverse problem of determining a boundary damping coefficient\nfrom boundary measurements. As in our preceding work, the different boundary\nmeasurements are generated by varying one of the initial conditions.\n

Key concepts: Logarithm, Mathematics, Mathematical analysis, Boundary (topology), Stability (learning theory), Wave equation, Applied mathematics, Computer science

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