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Reconstructing a matrix from a partial sampling of Pareto eigenvalues

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Abstract

Let Λ={λ 1,…,λ p } be a given set of distinct real numbers. This work deals with the problem of constructing a real matrix A of order n such that each element of Λ is a Pareto eigenvalue of A, that is to say, for all k∈{1,…,p} the complementarity system

$$x\geq \mathbf{0}_n,\quad Ax-\lambda_k x\geq \mathbf{0}_n,\quad \langle x, Ax-\lambda_k x\rangle = 0$$

admits a nonzero solution x∈ℝn.

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Correspondence to Alberto Seeger.

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Gajardo, P., Seeger, A. Reconstructing a matrix from a partial sampling of Pareto eigenvalues. Comput Optim Appl 51, 1119–1135 (2012). https://doi.org/10.1007/s10589-010-9391-x

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