schur multiplier norm of product of matrices

Authors

m. khosravi

a. sheikhhosseini

abstract

for a ∈ mn, the schur multiplier of a is defined as s a(x) =a ◦ x for all x ∈ mn and the spectral norm of s a can be stateas ∥s a∥ = supx,0 ∥a ∥x ◦x ∥ ∥. the other norm on s a can be definedas ∥s a∥ω = supx,0 ω(ω s( ax (x ) )) = supx,0 ωω (a (x ◦x ) ), where ω(a) standsfor the numerical radius of a. in this paper, we focus on therelation between the norm of schur multiplier of product of matrices and the product of norm of those matrices. this relation isproved for schur product and geometric product and some applications are given. also we show that there is no such relationfor operator product of matrices. furthermore, for positive definite matrices a and b with ∥s a∥ω ⩽ 1 and ∥s b∥ω ⩽ 1, we showthat a♯b = n(i − z)1/2c(i + z)1/2, for some contraction c andhermitian contraction z.

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

Schur multiplier norm of product of matrices

For A ∈ <span style="font-family...

full text

Schur product of matrices and numerical radius (range) preserving maps

Let F (A) be the numerical range or the numerical radius of a square matrix A. Denote by A◦B the Schur product of two matrices A and B. Characterizations are given for mappings on square matrices satisfying F (A ◦ B) = F (φ(A) ◦ φ(B)) for all matrices A and B. Analogous results are obtained for mappings on Hermitian matrices. 2000 Mathematics Subject Classification. 15A04, 15A18, 15A60

full text

some properties of fuzzy hilbert spaces and norm of operators

in this thesis, at first we investigate the bounded inverse theorem on fuzzy normed linear spaces and study the set of all compact operators on these spaces. then we introduce the notions of fuzzy boundedness and investigate a new norm operators and the relationship between continuity and boundedness. and, we show that the space of all fuzzy bounded operators is complete. finally, we define...

15 صفحه اول

THE SPECTRAL NORM OF RANDOM INNER-PRODUCT KERNEL MATRICES By

We study the spectra of p×p random matrices K with off-diagonal (i, j) entry equal to n−1/2k(XT i Xj/n ), where Xi’s are the rows of a p× n matrix with i.i.d. entries and k is a scalar function. It is known that under mild conditions, as n and p increase proportionally, the empirical spectral measure of K converges to a deterministic limit μ. We prove that if k is a polynomial and the distribut...

full text

Cartesian decomposition of matrices and some norm inequalities

Let ‎X be an ‎‎n-‎‎‎‎‎‎square complex matrix with the ‎Cartesian decomposition ‎‎X = A + i ‎B‎‎‎‎‎, ‎where ‎‎A ‎and ‎‎B ‎are ‎‎‎n ‎‎times n‎ ‎Hermitian ‎matrices. ‎It ‎is ‎known ‎that ‎‎$Vert X Vert_p^2 ‎leq 2(Vert A Vert_p^2 + Vert B Vert_p^2)‎‎‎$, ‎where ‎‎$‎p ‎‎geq 2‎$‎ ‎and ‎‎$‎‎Vert . Vert_p$ ‎is ‎the ‎Schatten ‎‎‎‎p-norm.‎ ‎‎ ‎‎In this paper‎, this inequality and some of its improvements ...

full text

My Resources

Save resource for easier access later


Journal title:
wavelet and linear algebra

Publisher: vali-e-asr university of rafsanjan

ISSN 2383-1936

volume 2

issue 1 2015

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023