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Further norm inequalities for positive semidefinite matrices

  • Fuad Kittaneh,
  • Jagjit Singh Matharu

摘要

Let A and B be \(n\times n\) n × n positive semidefinite matrices, and let \( ||\cdot ||_{2}\) | | · | | 2 be the Hilbert-Schmidt norm. Bhatia and then Hayajneh and Kittaneh, using different techniques, proved that \(\begin{aligned} ||A^{v}B^{1- v}+B^{v}A^{1-v}||{2}\le ||A+B||{2} \end{aligned}\) | | A v B 1 - v + B v A 1 - v | | 2 | | A + B | | 2 for \(v\in \left[ \frac{1}{4},\frac{3}{4}\right] \) v 1 4 , 3 4 , which gives an affirmative answer to an open problem posed by Bourin for the special case of the Hilbert–Schmidt norm. In this paper, we prove a general unitarily invariant norm inequality from which we obtain a new proof of the above Hilbert–Schmidt norm inequality. We also prove that if \(r\ge 1,\) r 1 , then \(\begin{aligned} |||A^{v}B^{1-v}+B^{v}A^{1-v}|||\le |||(A^{1/r}+B^{1/r})^{r}||| \end{aligned}\) | | | A v B 1 - v + B v A 1 - v | | | | | | ( A 1 / r + B 1 / r ) r | | | for \(\frac{1}{2r}\le v\le \frac{2r-1}{2r}\) 1 2 r v 2 r - 1 2 r , where \(|||\cdot |||\) | | | · | | | denotes any unitarily invariant norm.