Results 21 to 30 of about 19,389 (202)

Some inequalities for unitarily invariant norms [PDF]

open access: yesOperators and Matrices, 2014
In this note, we use the convexity of the function φ(v) to sharpen the matrix version of the Heinz means, where φ(v) is defined as φ(v) = ‖AvXB1−v + A1−vXBv‖ on [0,1] for A,B,X ∈ Mn such that A and B are positive semidefinite, and also give a refinement of the inequality [Theorem 6, SIAM J. Matrix Anal. Appl.
Junliang Wu, Jianguo Zhao
openaire   +1 more source

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   +1 more source

Inequalities for partial determinants of accretive block matrices

open access: yesJournal of Inequalities and Applications, 2023
Let A = [ A i , j ] i , j = 1 m ∈ M m ( M n ) $A=[A_{i,j}]^{m}_{i,j=1}\in \mathbf{M}_{m}(\mathbf{M}_{n})$ be an accretive block matrix. We write det1 and det2 for the first and second partial determinants, respectively.
Xiaohui Fu   +2 more
doaj   +1 more source

Isometries for unitarily invariant norms

open access: yesLinear Algebra and its Applications, 2005
After a brief survey of results and proof techniques in the study of isometries for unitarily invariant norms on real and complex rectangular matrices, the paper presents a characterization of a class of linear isometries without the linearity assumption.
Chan, JT, Sze, NS, Li, CK
openaire   +4 more sources

Equalities and Inequalities for Norms of Block Imaginary Circulant Operator Matrices

open access: yesAbstract and Applied Analysis, 2015
Circulant, block circulant-type matrices and operator norms have become effective tools in solving networked systems. In this paper, the block imaginary circulant operator matrices are discussed.
Xiaoyu Jiang, Kicheon Hong
doaj   +1 more source

UNITARILY INVARIANT NORM AND Q-NORM ESTIMATIONS FOR THE MOORE–PENROSE INVERSE OF MULTIPLICATIVE PERTURBATIONS OF MATRICES

open access: yes, 2020
Let B be a multiplicative perturbation of A ∈ Cm×n given by B = D∗ 1AD2, where D1 ∈ Cm×m and D2 ∈ Cn×n are both nonsingular. New upper bounds for ∥B† −A∥U and ∥B† −A∥Q are derived, where A†, B† are the Moore-Penrose inverses of A and B, and ∥ · ∥U , ∥ · ∥
Juan Luo
semanticscholar   +1 more source

Unitarily invariant norm inequalities for accretive–dissipative operator matrices

open access: yesJournal of Mathematical Analysis and Applications, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yun Zhang
semanticscholar   +3 more sources

The interpolation of Young’s inequality using dyadics

open access: yesJournal of Inequalities and Applications, 2019
In this article we interpolate Young’s inequality using a delicate treatment of dyadics. Although there are other simple methods to prove these results, we present this new approach hoping to reveal more of the hidden properties of such inequalities.
Mohammad Sababheh, Abdelrahman Yousef
doaj   +1 more source

Some inequalities involving unitarily invariant norms [PDF]

open access: yesMathematical Inequalities & Applications, 2012
This paper aims to present some inequalities for unitarily invariant norms. We first give inverses of Young and Heinz type inequalities for scalars. Then we use these inequalities to establish some inequalities for unitarily invariant norms. Mathematics subject classification (2010): 15A45, 15A60.
Chuanjiang He, Limin Zou
openaire   +1 more source

Consistency of the total least squares estimator in the linear errors-in-variables regression

open access: yesModern Stochastics: Theory and Applications, 2018
This paper deals with a homoskedastic errors-in-variables linear regression model and properties of the total least squares (TLS) estimator. We partly revise the consistency results for the TLS estimator previously obtained by the author [18]. We present
Sergiy Shklyar
doaj   +1 more source

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