Minimax principles for convex eigenvalue problems (Q1074847)

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scientific article; zbMATH DE number 3949105
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English
Minimax principles for convex eigenvalue problems
scientific article; zbMATH DE number 3949105

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    Minimax principles for convex eigenvalue problems (English)
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    1984
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    Let A be a compact, isotone operator on the positive cone K of a partially ordered locally convex topological vector space E satisfying \(A0>0\). The following problem is considered in the work: To find all numbers \(\lambda >0\) and all \(u\in K\) satisfying \(u=\lambda Au.\) Let \(K^*\) be the dual cone of K and \(\sigma^*=\inf \{1/\lambda:\exists u\in K,u=\lambda Au\}\). It is proved that \(\sigma^*=\inf_{u\in K}\sup_{\phi \in K^*}\phi (Au)/\phi (u)\), and under an additional condition on A (A is convex and maps K into the interior of K) it follows \(\sigma^*=\sup_{\phi \in K^*}\inf_{u\in K}\phi (Au)/\phi (u)\).
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    convex eigenvalue problems
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    minimax principle
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    saddle point
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    characterization
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    compact, isotone operator
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    partially ordered locally convex topological vector space
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