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We present a necessary and sufficient condition for a 3 by 3 matrix to be unitarily equivalent to a symmetric matrix with complex entries, and an algorithm whereby an arbitrary 3 by 3 matrix can be tested. This test generalizes to a…

Functional Analysis · Mathematics 2009-08-18 James E. Tener

Each square complex matrix is unitarily similar to an upper triangular matrix with diagonal entries in any prescribed order. Let A and B be upper triangular n-by-n matrices that (i) are not similar to direct sums of matrices of smaller…

Representation Theory · Mathematics 2011-10-19 Douglas Farenick , Vyacheslav Futorny , Tatiana G. Gerasimova , Vladimir V. Sergeichuk , Nadya Shvai

Tridiagonal canonical forms of square matrices under congruence or *congruence, pairs of symmetric or skew-symmetric matrices under congruence, and pairs of Hermitian matrices under *congruence are given over an algebraically closed field…

Representation Theory · Mathematics 2008-01-14 Vyacheslav Futorny , Roger A. Horn , Vladimir V. Sergeichuk

We construct six unitary trace invariants for 2 by 2 quaternionic matrices which separate the unitary similarity classes of such matrices, and show that this set is minimal. We prove two quaternionic versions of a well known…

Commutative Algebra · Mathematics 2009-03-18 Dragomir Z. Djokovic , Benjamin H. Smith

We show that every logmodular subalgebra of $M_n(\mathbb{C})$ is unitary equivalent to an algebra of block upper triangular matrices, which was conjectured in \cite{VM}. In particular, this shows that every unital contractive representation…

Operator Algebras · Mathematics 2010-03-17 Kate Juschenko

This paper is dedicated to the problem of verification of matrices for unitary similarity. For the case of nonderogatory matrices, we have been able to present the new solution for this problem based on geometric approach. The main…

Numerical Analysis · Mathematics 2013-03-11 Yuri R. Nesterenko

A novel factorization for the sum of two single-pair matrices is established as product of lower-triangular, tridiagonal, and upper-triangular matrices, leading to semi-closed-form formulas for tridiagonal matrix inversion. Subsequent…

Rings and Algebras · Mathematics 2024-03-01 Sebastien Bossu

Let $A$ and $B$ be unital Banach algebras with $A$ a subalgebra of $B$. Denote the algebra of all $n\times n$ matrices with entries from $A$ by $M_{n}(A)$. In this paper we prove some results concerning the open question: If $A$ is inverse…

Functional Analysis · Mathematics 2007-05-23 Bruce A. Barnes

Let A, B, C, D be given finite sets of pairs of n-by-n complex matrices. We describe an algorithm to determine, with finitely many computations, whether there is a single unitary matrix U such that each pair of matrices in A is unitarily…

Representation Theory · Mathematics 2014-03-12 Tatiana G. Gerasimova , Roger A. Horn , Vladimir V. Sergeichuk

For a 4th order 3-dimensional symmetric tensor with its some entries $1$ or $-1$, we show the analytic sufficient and necessary conditions of its positive definiteness. By applying these conclusions, several strict inequalities is bulit for…

Classical Analysis and ODEs · Mathematics 2024-08-27 Yisheng Song

Let $n,k$ be fixed natural numbers with $1\le k\le n$ and let $A_{n+1,k,2k,\dots,sk}$ denote an $(n+1)\times (n+1)$ complex multidiagonal matrix having $s=[n/k]$ sub- and superdiagonals at distances $k,2k,\dots,sk$ from the main diagonal.…

Rings and Algebras · Mathematics 2021-05-21 L. Losonczi

Let ${\mathcal N}$ be the Lie algebra of all $n\times n$ strictly block upper triangular matrices over a field ${\mathbb F}$ relative to a given partition. In this paper, we give an explicit description of all derivations of ${\mathcal N}$.

Representation Theory · Mathematics 2016-03-29 Prakash Ghimire , Huajun Huang

A real symmetric n times n matrix is called copositive if the corresponding quadratic form is non-negative on the closed first orthant. If the matrix fails to be copositive there exists some non-negative certificate for which the quadratic…

Optimization and Control · Mathematics 2013-06-18 Timo Hirscher

For given real or complex $m \times n$ data matrices $X$, $Y$, we investigate when there is a matrix $A$ such that $AX = Y$, and $A$ is invertible, Hermitian, positive (semi)definite, unitary, an orthogonal projection, a reflection, complex…

Functional Analysis · Mathematics 2025-04-25 Kyle Bierly , Stephan Ramon Garcia , Roger A. Horn

We study the structure of unit weighing matrices of order n and weights 2, 3 and 4. We show that the number of inequivalent unit weighing matrices UW(n,4) depends on the number of decompositions of n into sums of non-negative multiples of…

Combinatorics · Mathematics 2012-12-11 Darcy Best , Hadi Kharaghani , Hugh Ramp

Any associative bilinear multiplication on the set of n-by-n matrices over some field of characteristic not two, that makes the same vectors orthogonal and has the same trace as ordinary matrix multiplication, must be ordinary matrix…

Rings and Algebras · Mathematics 2023-04-21 Chris Heunen , Dominic Horsman

We provide a decomposition that is sufficient in showing when a symmetric tridiagonal matrix $A$ is completely positive. Our decomposition can be applied to a wide range of matrices. We give alternate proofs for a number of related results…

Combinatorics · Mathematics 2022-09-26 Lei Cao , Darian McLaren , Sarah Plosker

A matrix $T \in \M_n(\C)$ is \emph{UECSM} if it is unitarily equivalent to a complex symmetric (i.e., self-transpose) matrix. We develop several techniques for studying this property in dimensions three and four. Among other things, we…

Functional Analysis · Mathematics 2012-09-04 Stephan Ramon Garcia , Daniel E. Poore , James E. Tener

Orthogonal matrices which are linear combinations of permutation matrices have attracted enormous attention in quantum information and computation. In this paper, we provide a complete parametric characterization of all complex, real and…

Combinatorics · Mathematics 2023-03-14 Amrita Mandal , Bibhas Adhikari

Diagonalization, or eigenvalue decomposition, is very useful in many areas of applied mathematics, including signal processing and quantum physics. Matrix decomposition is also a useful tool for approximating matrices as the product of a…

Spectral Theory · Mathematics 2016-06-07 Théo Trouillon , Christopher R. Dance , Éric Gaussier , Guillaume Bouchard
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