Abstract
Let \((a, b) \subset {\mathbb R}\) be an interval. A function \(f: (a, b) \rightarrow {\mathbb R}\) is said to be monotone for \(n \times n\) matrices if \(f(A) \le f(B)\) whenever \(A\) and \(B\) are self-adjoint \(n \times n\) matrices, \(A \le B\) and their eigenvalues are in \((a, b)\). If a function is monotone for every matrix size, then it is called matrix monotone or operator monotone.
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Hiai, F., Petz, D. (2014). Matrix Monotone Functions and Convexity. In: Introduction to Matrix Analysis and Applications. Universitext. Springer, Cham. https://doi.org/10.1007/978-3-319-04150-6_4
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DOI: https://doi.org/10.1007/978-3-319-04150-6_4
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Publisher Name: Springer, Cham
Print ISBN: 978-3-319-04149-0
Online ISBN: 978-3-319-04150-6
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