Abstract
This paper develops boundary integral representation formulas for the second variations of cost functionals for elliptic domain optimization problems. From the collection of all Lipschitz domains Ω which satisfy a constraint ∫ Ω g(x) dx=1, a domain is sought which maximizes either \(\mathcal{F}_{x_{0}}(\Omega )=F(x_{0},u(x_{0}))\) , fixed x 0∈Ω, or ℱ(Ω)=∫ Ω F(x,u(x)) dx, where u solves the Dirichlet problem Δu(x)=−f(x), x∈Ω, u(x)=0, x∈∂Ω. Necessary and sufficient conditions for local optimality are presented in terms of the first and second variations of the cost functionals \(\mathcal{F}_{x_{0}}\) and ℱ. The second variations are computed with respect to domain variations which preserve the constraint. After first summarizing known facts about the first variations of u and the cost functionals, a series of formulas relating various second variations of these quantities are derived. Calculating the second variations depends on finding first variations of solutions u when the data f are permitted to depend on the domain Ω.
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Communicated by D.A. Carlson.
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Miller, D.F. Second-Order Optimality Conditions for Constrained Domain Optimization. J Optim Theory Appl 134, 413–432 (2007). https://doi.org/10.1007/s10957-007-9218-9
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DOI: https://doi.org/10.1007/s10957-007-9218-9