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Related papers: Numerical range and positive block matrices

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We show how positive unital linear maps can be used to obtain some bounds for the eigenvalues of nonnegative matrices.

Functional Analysis · Mathematics 2020-02-04 R. Sharma , M. Pal , A. Sharma

Let H be a positive semidefinite matrix partitioned into Hermitian blocks. Then, up to a direct sum operation, H is the average of matrices isometrically congruent to its partial trace. A few corollaries are given, related to important…

Functional Analysis · Mathematics 2012-10-12 Jean-Christophe Bourin , Eun-Young Lee

In this paper, we study the relationship between operator space norm and operator space numerical radius on the matrix space $\mathcal{M}_n(X)$, when $X$ is a numerical radius operator space. Moreover, we establish several inequalities for…

Operator Algebras · Mathematics 2021-07-23 Mohammad Sal Moslehian , Mostafa Sattari

We realize many sharp spectral bounds of the spectral radius of a nonnegative square matrix $C$ by using the largest real eigenvalues of suitable matrices of smaller sizes related to $C$ that are very easy to find. As applications, we give…

Combinatorics · Mathematics 2017-11-10 Yen-Jen Cheng , Chih-wen Weng

We analyze the numerical range of high-dimensional random matrices, obtaining limit results and corresponding quantitative estimates in the non-limit case. For a large class of random matrices their numerical range is shown to converge to a…

Operator Algebras · Mathematics 2014-05-13 Benoît Collins , Piotr Gawron , Alexander E. Litvak , Karol Życzkowski

We obtain generalisations of some inequalities for positive unital linear maps on matrix algebra. This also provides several positive semidefinite matrices and we get some old and new inequalities involving the eigenvalues of a Hermitian…

Functional Analysis · Mathematics 2016-02-16 R. Sharma , P. Devi , R. kumari

We verify a conjecture on the structure of higher-rank numerical ranges for a wide class of unitary and normal matrices. Using analytic and geometric techniques, we show precisely how the higher-rank numerical ranges for a generic unitary…

Quantum Physics · Physics 2008-06-11 Man-Duen Choi , John A. Holbrook , David W. Kribs , Karol Zyczkowski

We establish a sharp inequality between the blocks of positive partitioned matrices and conjecture a triangle type inequality for contractions: Given three contactions A,B,C, we conjecture that the constant c=3/4 is sharp in the triangle…

Functional Analysis · Mathematics 2023-12-18 Jean-Christophe Bourin , Eun-Young Lee

We present positive maps and matrix inequalities for variables from the positive cone. These inequalities contain partial transpose and reshuffling operations, and can be understood as positive multilinear maps that are in one-to-one…

Quantum Physics · Physics 2024-03-08 Maria Balanzó-Juandó , Michał Studziński , Felix Huber

A complete description of 4-by-4 matrices $\begin{bmatrix}\alpha I & C \\D & \beta I\end{bmatrix}$, with scalar 2-by-2 diagonal blocks, for which the numerical range is the convex hull of two non-concentric ellipses is given. This result is…

Functional Analysis · Mathematics 2020-09-02 Titas Geryba , Ilya M. Spitkovsky

We study various conditions on matrices $B$ and $C$ under which they can be the off-diagonal blocks of a partitioned normal matrix.

Rings and Algebras · Mathematics 2007-07-17 Rajendra Bhatia , Man-Duen Choi

Several new verifiable conditions are established for block matrices with scalar diagonal blocks to have the numerical range equal the convex hull of at most k ellipses where k by k is the size of the smaller diagonal block. For k = 2,…

Functional Analysis · Mathematics 2020-02-25 Titas Geryba , Ilya M. Spitkovsky

Inequalities for norms of different versions of the geometric mean of two positive definite matrices are presented.

Functional Analysis · Mathematics 2015-02-17 Rajendra Bhatia , Priyanka Grover

A presentation of numerical range for rectangular matrices is undertaken in this paper, introducing two different definitions and elaborating basic properties. Then we are extended to the treatment of rank-k numerical range.

Functional Analysis · Mathematics 2009-04-29 Aikaterini Aretaki , John Maroulas

The numerical range of a matrix is studied geometrically via the cone of positive semidefinite matrices (or semidefinite cone for short). In particular it is shown that the feasible set of a two-dimensional linear matrix inequality (LMI),…

Optimization and Control · Mathematics 2010-04-08 Didier Henrion

The numerical range of a matrix is studied geometrically via the cone of positive semidefinite matrices (or semidefinite cone for short). In particular it is shown that the feasible set of a two-dimensional linear matrix inequality (LMI),…

Optimization and Control · Mathematics 2008-12-10 Didier Henrion

A proof using the theory of completely positive maps is given to the fact that if $A \in M_2$, or $A \in M_3$ has a reducing eigenvalue, then every bounded linear operator $B$ with $W(B) \subseteq W(A)$ has a dilation of the form $I \otimes…

Functional Analysis · Mathematics 2019-02-07 Chi-Kwong Li , Yiu-Tung Poon

It has been shown that if $T$ is a complex matrix, then {\small\begin{align*} \omega(T)&=\frac{1}{n}\sup\left\{|\mathrm{Tr}\ X|;\ X\in W^n(T)\right\}\\ &=\frac{1}{n}\sup\left\{\|X\|_1;\ X\in W^n(T)\right\}\\ &= \sup\left\{ \omega(X);\ X\in…

Functional Analysis · Mathematics 2019-11-26 Mohsen Kian , Mahdi Dehghani , Mostafa Sattari

Matrix norms can be used to measure the "distance" between two matrices which translates naturally to the problem of calculating the unitary deviation of the neutrino mixing matrices. Variety of matrix norms opens a possibility to measure…

High Energy Physics - Phenomenology · Physics 2019-04-25 Wojciech Flieger , Franciszek Pindel , Kamil Porwit

We derive some inequalities involving first four central moments of discrete and continuous distributions. Bounds for the eigenvalues and spread of a matrix are obtained when all its eigenvalues are real. Likewise, we discuss bounds for the…

Statistics Theory · Mathematics 2019-07-19 R. Sharma , R. Kumar , R. Saini , P. Devi