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Necessary conditions for optimality in the identification of elliptic systems with parameter constraints

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Abstract

We consider the problems of dientifying the parametersa ij (x), b i (x), c(x) in a 2nd order, linear, uniformly elliptic equation,

$$\begin{gathered} - \partial _i (a_{ij} (x)\partial _j u) + b_i (x)\partial _i u + c(x)u = f(x),in\Omega , \hfill \\ \partial _v u|_{\partial \Omega } = \phi (s),s \in \partial \Omega , \hfill \\ \end{gathered} $$

on the basis of measurement data

$$u(s) = z(s),s \in B \subset \partial \Omega ,$$

with an equality constraint and inequality constraints on the parameters. The cost functionals are one-sided Gâteaux differentiable with respect to the state variables and the parameters. Using the Duboviskii-Milyutin lemma, we get maximum principles for the identification problems, which are necessary conditions for the existence of optimal parameters.

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Communicated by L. D. Berkovitz

This research was partially supported by the National Science Foundation of China under Grant No. 19271040.

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Yu, W.H. Necessary conditions for optimality in the identification of elliptic systems with parameter constraints. J Optim Theory Appl 88, 725–742 (1996). https://doi.org/10.1007/BF02192207

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