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This paper presents an experimental study on the application of quaternions in several machine learning algorithms. Quaternion is a mathematical representation of rotation in three-dimensional space, which can be used to represent complex…

Machine Learning · Computer Science 2023-08-07 Tianlei Zhu , Renzhe Zhu

This paper develops matrix-multiplication-based iterative refinement for diagonalizable non-Hermitian eigendecompositions. The main theory concerns simple eigenvalues and distinguishes two input regimes. In the right-only regime, where only…

Numerical Analysis · Mathematics 2026-04-06 Takeshi Terao

We consider $n\times n$ non-Hermitian random matrices with independent entries and a variance profile, as well as an additive deterministic diagonal deformation. We show that their empirical eigenvalue distribution converges to a limiting…

Probability · Mathematics 2024-11-11 Johannes Alt , Torben Krüger

Let $\mathbb{F}_q$ be a finite field of $q$ elements, for some prime power $q$, and let $G$ be a finite group. A (left) group code, or simply a $G$-code, is a (left) ideal of the group algebra $\mathbb{F}_q[G]$. In this paper, we provide a…

Information Theory · Computer Science 2026-02-05 Miguel Sales-Cabrera , Xaro Soler-Escrivà , Víctor Sotomayor

Hermitian linear matrix pencils are ubiquitous in control theory, operator systems, semidefinite optimization, and real algebraic geometry. This survey reviews the fundamental features of the matricial solution set of a linear matrix…

Functional Analysis · Mathematics 2024-07-12 Jurij Volčič

Dual quaternion algebra and its application to robotics have gained considerable interest in the last two decades. Dual quaternions have great geometric appeal and easily capture physical phenomena inside an algebraic framework that is…

Robotics · Computer Science 2020-07-28 Bruno Vilhena Adorno , Murilo Marques Marinho

We present an iteration for the computation of simple eigenvalues using a pseudospectrum approach. The most appealing characteristic of the proposed iteration is that it reduces the computation of a single eigenvalue to a small number of…

Numerical Analysis · Mathematics 2007-05-23 Ioannis Koutis

To each 4x4 matrix of reals another 4x4 matrix is constructed, the so-called associate matrix. This associate matrix is shown to have rank 1 and norm 1 (considered as a 16D vector) if and only if the original matrix is a 4D rotation matrix.…

General Mathematics · Mathematics 2007-05-23 Johan Ernest Mebius

We draw attention to the fact that a Hermitian matrix is always diagonalizable and has real discrete spectrum whereas the Hermitian Schr{\"o}dinger Hamiltonian: $H=p^2/2\mu+V(x)$, may not be so. For instance when $V(x)=x, x^3, -x^2$, $H$…

General Physics · Physics 2016-08-08 Zafar Ahmed , Mohammad Irfan , Achint Kumar , Ankush Singhal

The H-unistochastic matrices are a special class of symmetric bistochastic matrices obtained by taking the square of the absolute value of each entry of a Hermitian unitary matrix. We examine the geometric relationship of the convex hull of…

Operator Algebras · Mathematics 2012-11-14 Corey O'Meara , Rajesh Pereira

A comprehensive approach to the spectrum characterization (derivation of eigenvalues and the corresponding multiplicities) for non-normalized, symmetric discrete trigonometric transforms (DTT) is presented in the paper. Eight types of the…

Signal Processing · Electrical Eng. & Systems 2023-02-17 Ali Bagheri Bardi , Milos Dakovic , Taher Yazdanpanah , Ljubisa Stankovic

In this paper the relationship between the problem of constructing the ground state energy for the quantum quartic oscillator and the problem of computing mean eigenvalue of large positively definite random hermitean matrices is…

High Energy Physics - Theory · Physics 2015-06-26 G. M. Cicuta , S. Stramaglia , A. G. Ushveridze

A truncation of a Haar distributed orthogonal random matrix gives rise to a matrix whose eigenvalues are either real or complex conjugate pairs, and are supported within the closed unit disk. This is also true for a product $P_m$ of $m$…

Mathematical Physics · Physics 2017-08-23 P. J. Forrester , J. R. Ipsen , S. Kumar

The theory of two-dimensional linear quaternion-valued differential equations (QDEs) was recently established (see Kou and Xia, SAPM). Some profound differences between QDEs and ODEs were observed. Also, an algorithm to evaluate the…

Classical Analysis and ODEs · Mathematics 2022-02-15 Kit Ian Kou , Wankai Liu , Y-H Xia

Horn's problem, i.e., the study of the eigenvalues of the sum $C=A+B$ of two matrices, given the spectrum of $A$ and of $B$, is re-examined, comparing the case of real symmetric, complex Hermitian and self-dual quaternionic $3\times 3$…

Representation Theory · Mathematics 2019-05-27 Robert Coquereaux , Jean-Bernard Zuber

In this paper properties of the determinant of a Hermitian matrix are investigated, and determinantal representations of the inverse of a Hermitian coquaternionic matrix are given. By their using, Cramer's rules for left and right systems…

Rings and Algebras · Mathematics 2016-10-03 Ivan Kyrchei

The eigenvalue problem for 3x3 octonionic Hermitian matrices contains some surprises, which we have reported elsewhere. In particular, the eigenvalues need not be real, there are 6 rather than 3 real eigenvalues, and the corresponding…

Rings and Algebras · Mathematics 2009-10-31 Tevian Dray , Corinne A. Manogue

In this paper we propose a new method for studying spectral properties of the non-hermitian random matrix ensembles. Alike complex Green's function encodes, via discontinuities, the real spectrum of the hermitian ensembles, the proposed…

Mathematical Physics · Physics 2007-05-23 Andrzej Jarosz , Maciej A. Nowak

We study matrix forms of quaternionic versions of the Fourier Transform and Convolution operations. Quaternions offer a powerful representation unit, however they are related to difficulties in their use that stem foremost from…

Computer Vision and Pattern Recognition · Computer Science 2024-07-23 Giorgos Sfikas , George Retsinas

Three kinds of dual quaternion matrices associated with the mutual visibility graph, namely the relative configuration adjacency matrix, the logarithm adjacency matrix and the relative twist adjacency matrix, play important roles in…

Optimization and Control · Mathematics 2022-12-22 Liqun Qi , Xiangke Wang , Ziyan Luo