Interpolating numerical radius inequalities for matrices (Q6611853)
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scientific article; zbMATH DE number 7919741
| Language | Label | Description | Also known as |
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| English | Interpolating numerical radius inequalities for matrices |
scientific article; zbMATH DE number 7919741 |
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Interpolating numerical radius inequalities for matrices (English)
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27 September 2024
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The main focus of this paper is on proving several new generalized numerical radius inequalities for matrices induced by the unitarily invariant norm, which is defined as\N\[\Nw_{\|\cdot\|}(A) = \max_{\theta\in\mathbb{R}} \|\operatorname{Re}(e^{i\theta}A)\|.\N\]\NFor instance, if \(A,B,X\in M_n(\mathbb{C})\) and \(q\in[0,1]\), the authors show that\N\begin{align*}\N\|AXB^*\|^2 \leq& w_{\|\cdot\|} \left( U^*(qA^*AX + (1-q)XB^*B)V \right) \\\N&\times w_{\|\cdot\|} \left(U^*( (1-q)A^*AX + qXB^*B)V \right),\N\end{align*}\Nfor some unitary matrices \( U, V \) in \( M_n(\mathbb{C}) \). Specifically, if \( X \) is positive semidefinite, the inequality simplifies to:\N\begin{align*}\N\|AXB^*\|^2 \leq &w_{\|\cdot\|} \left( qA^*AX + (1-q)XB^*B \right) \\\N&\times w_{\|\cdot\|} \left( (1-q)A^*AX + qXB^*B \right).\N\end{align*}\NSince \(w_{\|\cdot\|}(A) \leq \|A\|\), this inequality refines the inequality\N\begin{align*}\N\|AXB^*\|^2 \leq &\left\| qA^*AX + (1-q)XB^*B \right\| \\\N&\times \left\| (1-q)A^*AX + qXB^*B \right\|,\N\end{align*}\Nvalid for positive semidefinite matrices, and proven in [\textit{L. Zou} and \textit{Y. Jiang}, J. Math. Inequal. 10, No. 4, 1119--1122 (2016; Zbl 1366.15016)]. This result is only one amongst many that one may find in this interesting paper.
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numerical radius
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unitarily invariant norm
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commutator
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positive semidefinite matrix
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inequality
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