Results 11 to 20 of about 581 (209)

Submultiplicativity vs subadditivity for unitarily invariant norms

open access: yesLinear Algebra and its Applications, 2004
The authors prove that if \(A\) and \(B\) are two \(n\)-by-\(n\) nonzero positive semidefinite matrices and \(\|\cdot\|\) is a unitarily invariant norm on matrices satisfying \(\|\text{diag}(1,0,\dots, 0)\|\geq 1\), then the inequalities \[ {\| AB\|\over\| A\|\,\| B\|}\leq {\| A+ B\|\over\| A\|+\| B\|}\quad\text{and}\quad {\| A\circ B\|\over \| A\|\,\|
Hiai, Fumio, Zhan, Xingzhi
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A Structure Theorem for the Polars of Unitarily Invariant Norms [PDF]

open access: bronzeProceedings of the American Mathematical Society, 1985
The unitarily invariant norms of matrices, or operators, are essentially the symmetric norms of their singular values. A subclass of these norms depending upon only a few largest of the singular values is considered, and the polars of these norms are characterized. The result is then used to obtain generalizations of some well-known inequalities.
Govind S. Mudholkar, Marshall Freimer
openalex   +2 more sources

Some inequalities for unitarily invariant norm

open access: yesLinear Algebra and its Applications, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Matharu, Jagjit Singh   +1 more
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Lower bounds for the low-rank matrix approximation [PDF]

open access: yesJournal of Inequalities and Applications, 2017
Low-rank matrix recovery is an active topic drawing the attention of many researchers. It addresses the problem of approximating the observed data matrix by an unknown low-rank matrix. Suppose that A is a low-rank matrix approximation of D, where D and A
Jicheng Li, Zisheng Liu, Guo Li
doaj   +2 more sources

Non-commutative Clarkson inequalities for unitarily invariant norms [PDF]

open access: bronzePacific Journal of Mathematics, 2002
The authors obtain two types of norm inequalities which are extensions of the classical Clarkson inequalities for the Schatten \(p\)-norms in [\textit{C. A. McCarthy}, Isr. J. Math. 5, 249--271 (1967; Zbl 0156.37902)]. The authors show these inequalities by using operator convex and concave functions.
Omar Hirzallah, Fuad Kıttaneh
openalex   +2 more sources

A matrix inequality for unitarily invariant norms [PDF]

open access: diamondJournal of Mathematical Inequalities, 2022
Xin Jin, Feng Zhang, Ji li Xu
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Extensions of interpolation between the arithmetic-geometric mean inequality for matrices [PDF]

open access: yesJournal of Inequalities and Applications, 2017
In this paper, we present some extensions of interpolation between the arithmetic-geometric means inequality. Among other inequalities, it is shown that if A, B, X are n × n $n\times n$ matrices, then ∥ A X B ∗ ∥ 2 ≤ ∥ f 1 ( A ∗ A ) X g 1 ( B ∗ B ) ∥ ∥ f
Mojtaba Bakherad   +2 more
doaj   +2 more sources

Norm inequalities related to the Heinz means

open access: yesJournal of Inequalities and Applications, 2018
Let (I,|||⋅|||) $(I,|\!|\!|\cdot|\!|\!|)$ be a two-sided ideal of operators equipped with a unitarily invariant norm |||⋅||| $|\!|\!| \cdot|\!|\!|$. We generalize the results of Kapil’s, using a new contractive map in I to obtain a norm inequality.
Fugen Gao, Xuedi Ma
doaj   +2 more sources

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