Inequalities for semi-convex matrix functions (Q1336155)

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scientific article; zbMATH DE number 663693
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Inequalities for semi-convex matrix functions
scientific article; zbMATH DE number 663693

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    Inequalities for semi-convex matrix functions (English)
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    7 November 1994
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    Let us consider the Perron-Frobenius order for real matrices i.e., \(A \geq B\) means that every element of \(A - B\) is positive. The mapping \(f\) defined on the set \(T\) of matrices with values in the set of matrices is said to be semi-convex if \(X,Y \in T\), \(X \leq Y\) implies that \(\lambda X + (1 - \lambda)Y \in T\) for all \(0 < \lambda < 1\) and \(f(\lambda X + (1 - \lambda)Y) \leq \lambda f(X) + (1 - \lambda) f(Y)\). The authors point out some very interesting inequalities of Jensen's and Szegö's type for this kind of mappings. Some related results are also given.
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    semi-convex matrix functions
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    Jensen inequality
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    Szegö inequality
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    Perron-Frobenius order
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