Sharp inequalities for the numerical radii of block operator matrices (Q2288342)
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| Language | Label | Description | Also known as |
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| English | Sharp inequalities for the numerical radii of block operator matrices |
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Sharp inequalities for the numerical radii of block operator matrices (English)
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17 January 2020
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Let \(A,B,C,D\) be bounded linear Hilbert space operators. The authors obtain sharp upper bounds for the numerical radii \(w(T)\) and \(w(S)\) of the block operator matrices \(T = \left(\begin{smallmatrix} A & O \\ O & D \end{smallmatrix}\right)\) and \(S = \left(\begin{smallmatrix} 0 & B \\ C & 0 \end{smallmatrix}\right)\). For example, it is shown that, if \(f(t),g(t)\) are continuous non-negative functions on \([0,\infty)\) with \(f(t)g(t)=t\), then, for any non-negative non-decreasing convex function \(h(t)\) on \([0,\infty)\), the following inequality holds: \[h(w(T))\le \frac{1}{2} \max \left(||h(f^{2} (|A|))+h(g^{2} (|A|))||,\, ||h(f^{2} (|A|))+h(g^{2} (|A|))||\right).\] A similar inequality is proved for the numerical radius \(w(S)\). The paper also contains other variations of these inequalities.
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numerical radius
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convexity
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mixed Cauchy-Schwarz inequality
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polar decomposition
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