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In this study, we introduce the concept of commutative quaternions and commutative quaternion matrices. Firstly, we give some properties of commutative quaternions and their Hamilton matrices. After that we investigate commutative…

Algebraic Geometry · Mathematics 2016-11-26 Hidayet Hüda Kösal , Murat Tosun

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

In this paper, we propose a lower rank quaternion decomposition algorithm and apply it to color image inpainting. We introduce a concise form for the gradient of a real function in quaternion matrix variables. The optimality conditions of…

Optimization and Control · Mathematics 2020-09-30 Yannan Chen , Liqun Qi , Xinzhen Zhang , Yuwei Xu

We consider higher-rank versions of the standard numerical range for matrices. A central motivation for this investigation comes from quantum error correction. We develop the basic structure theory for the higher-rank numerical ranges, and…

Functional Analysis · Mathematics 2007-05-23 Man-Duen Choi , David W. Kribs , Karol Zyczkowski

In this paper we consider the decomposition of positive semidefinite matrices as a sum of rank one matrices. We introduce and investigate the properties of various measures of optimality of such decompositions. For some classes of positive…

Functional Analysis · Mathematics 2022-02-03 Radu Balan , Kasso A. Okoudjou , Michael Rawson , Yang Wang , Rui Zhang

Numerous attempts have been made to replicate the success of complex-valued algebra in engineering and science to other hypercomplex domains such as quaternions, tessarines, biquaternions, and octonions. Perhaps, none have matched the…

Machine Learning · Statistics 2026-03-13 Sayed Pouria Talebi , Clive Cheong Took

In this paper, we describe a low-rank matrix completion method based on matrix decomposition. An incomplete matrix is decomposed into submatrices which are filled with a proposed trimming step and then are recombined to form a low-rank…

Numerical Analysis · Mathematics 2010-06-29 Rick Ma , Samuel Cheng

Multidimensional quaternion arrays (often referred to as "quaternion tensors") and their decompositions have recently gained increasing attention in various fields such as color and polarimetric imaging or video processing. Despite this…

Numerical Analysis · Mathematics 2025-10-13 Julien Flamant , Xavier Luciani , Sebastian Miron , Yassine Zniyed

In this paper, we present some applications of quaternions and octonions. We present the real matrix representations for complex octonions and some of their properties which can be used in computations where these elements are involved.…

Rings and Algebras · Mathematics 2017-12-27 Cristina Flaut

In this paper, the quaternion matrix UTV (QUTV) decomposition and quaternion tensor UTV (QTUTV) decomposition are proposed. To begin, the terms QUTV and QTUTV are defined, followed by the algorithms. Subsequently, by employing random…

Numerical Analysis · Mathematics 2024-06-25 Liqiao Yang , Jifei Miao , Tai-Xiang Jiang , Yanlin Zhang , Kit Ian Kou

We introduce the notion of a confluent Vandermonde matrix with quaternion entries and discuss its connection with Lagrange-Hermite interpolation over quaternions. Further results include the formula for the rank of a confluent Vandermonde…

Rings and Algebras · Mathematics 2015-05-15 Vladimir Bolotnikov

In this paper we derive and analyze an algorithm for inverting quaternion matrices. The algorithm is an analogue of the Frobenius algorithm for the complex matrix inversion. On the theory side, we prove that our algorithm is more efficient…

Numerical Analysis · Mathematics 2023-05-05 Qiyuan Chen , J. Uhlmann , Ke Ye

Low-rank matrix approximations, such as the truncated singular value decomposition and the rank-revealing QR decomposition, play a central role in data analysis and scientific computing. This work surveys and extends recent research which…

Numerical Analysis · Mathematics 2014-04-29 Nathan Halko , Per-Gunnar Martinsson , Joel A. Tropp

Quaternion optimization has attracted significant interest due to its broad applications, including color face recognition, video compression, and signal processing. Despite the growing literature on quadratic and matrix quaternion…

Optimization and Control · Mathematics 2025-12-02 Chang He , Bo Jiang , Hongye Wang , Xihua Zhu

We present in this paper some fundamental tools for developing matrix analysis over the complex quaternion algebra. As applications, we consider generalized inverses, eigenvalues and eigenvectors, similarity, determinants of complex…

Rings and Algebras · Mathematics 2007-05-23 Yongge Tian

Quaternion symmetry is ubiquitous in the physical sciences. As such, much work has been afforded over the years to the development of efficient schemes to exploit this symmetry using real and complex linear algebra. Recent years have also…

Mathematical Software · Computer Science 2019-03-14 David Williams-Young , Xiaosong Li

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

Conjugate partial-symmetric (CPS) tensor is a generalization of Hermitian matrices. For the CPS tensor decomposition some properties are presented. For real CPS tensors in particular, we note the subtle difference from the complex case of…

Numerical Analysis · Mathematics 2021-11-08 Pengfei Huang , Qingzhi Yang

We review known factorization results in quaternion matrices. Specifically, we derive the Jordan canonical form, polar decomposition, singular value decomposition, the QR factorization. We prove there is a Schur factorization for commuting…

Operator Algebras · Mathematics 2014-01-16 Terry A. Loring

This short note, in part of expository nature, points out several new or recent consequences of a quite nice decomposition for positive semi-definite matrices.

Functional Analysis · Mathematics 2012-02-03 Jean-Christophe Bourin , Eun-Young Lee , Minghua Lin
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