2014
DOI: 10.15352/afa/1391614571
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On reversing of the modified Young inequality

Abstract: Abstract. In the present paper, by Haagerup theorem, we show that if A ∈ M n is a non scalar strictly positive matrix and 0 < ν < 1 be a real number such that ν = 1 2 , then there exists X ∈ M n such that

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Cited by 7 publications
(6 citation statements)
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“…, and the authors of [13] pointed out that if A and B are positive semidefinite and X ∈ M n (C), then for unitarily invariant norm |A v XB 1−v | ≤ |vAX + (1 − v)XB | does not holds in general.…”
Section: The Hilbert-schmidt Norm Inequalities For Arithmetic Mean Anmentioning
confidence: 99%
See 1 more Smart Citation
“…, and the authors of [13] pointed out that if A and B are positive semidefinite and X ∈ M n (C), then for unitarily invariant norm |A v XB 1−v | ≤ |vAX + (1 − v)XB | does not holds in general.…”
Section: The Hilbert-schmidt Norm Inequalities For Arithmetic Mean Anmentioning
confidence: 99%
“…F , and the authors of [13] pointed out that if A and B are positive semidefinite and X ∈ M n (C), then for unitarily invariant norm…”
Section: The Hilbert-schmidt Norm Inequalities For Arithmetic Mean An...mentioning
confidence: 99%
“…A matrix Young inequality was obtained by Ando in [1]. The matrix mean inequality and the matrix Young inequality were considered with the numerical radius norm by Salemi and Sheikhhosseini in [19,20].…”
Section: Introductionmentioning
confidence: 99%
“…Even though this inequality looks very simple, it is of great interest in operator theory. We refer the reader to [5,6,7,8,9,11,15] as a sample of the extensive use of this inequality in this field. Refining this inequality has taken the attention of many researchers in the field, where adding a positive term to the left side is possible.…”
Section: Introductionmentioning
confidence: 99%