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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

Schemes for exact multiplication of small matrices have a large symmetry group. This group defines an equivalence relation on the set of multiplication schemes. There are algorithms to decide whether two schemes are equivalent. However, for…

Computational Complexity · Computer Science 2022-06-02 Manuel Kauers , Jakob Moosbauer

Two matrices are said to be principal minor equivalent if they have equal corresponding principal minors of all orders. We give a characterization of principal minor equivalence and a deterministic polynomial time algorithm to check if two…

Computational Complexity · Computer Science 2024-10-04 Abhranil Chatterjee , Sumanta Ghosh , Rohit Gurjar , Roshan Raj

We survey a variety of results about partially isometric matrices. We focus primarily on results that are distinctly finite-dimensional. For example, we cover a recent solution to the similarity problem for partial isometries. We also…

Functional Analysis · Mathematics 2019-03-29 Stephan Ramon Garcia , Matthew Okubo Patterson , William T. Ross

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 propose a numerical method, based on the shift-and-invert power iteration, that answers whether a symmetric matrix is positive definite ("yes") or not ("no"). Our method uses randomization. But, it returns the correct answer with high…

Numerical Analysis · Mathematics 2018-06-27 Martin Neuenhofen

The study of positive-definite matrices has focused on Hermitian matrices, that is, square matrices with complex (or real) entries that are equal to their own conjugate transposes. In the classical setting, positive-definite matrices enjoy…

Combinatorics · Mathematics 2022-02-09 Joshua Cooper , Erin Hanna , Hays Whitlatch

A unified approach to parametrization of the mixing matrix for $N$ generations is developed. This approach not only has a clear geometrical underpinning but also has the advantage of being economical and recursive and leads in a natural way…

High Energy Physics - Phenomenology · Physics 2015-06-25 S. Chaturvedi , N. Mukunda

We determine the structure of linear maps on complex (real) square matrices sending unitary (orthogonal) matrices to multiples of unitary (orthogonal) matrices. The result is used to determine the linear preservers of matrix pairs…

Functional Analysis · Mathematics 2025-10-08 Bojan Kuzma , Chi-Kwong Li , Edward Poon

In this paper, we develop the theory of symmetric triads with multiplicities. First, we classify abstract symmetric triads with multiplicities. Second, we determine the symmetric triads with multiplicities corresponding to commutative…

Differential Geometry · Mathematics 2025-06-04 Kurando Baba , Osamu Ikawa

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

Orthogonal sets of idempotents are used to design sets of unitary matrices, known as constellations, such that the modulus of the determinant of the difference of any two distinct elements is greater than $0$. It is shown that unitary…

Information Theory · Computer Science 2017-02-07 Ted Hurley

We analyze the problem of comparing unitary transformations. The task is to decide, with minimal resources and maximal reliability, whether two given unitary transformations are identical or different. It is possible to make such…

Quantum Physics · Physics 2009-11-07 Erika Andersson , Igor Jex , Stephen M. Barnett

An equivalence relation in the set of all square binary matrices is described in this work. It is discussed a combinatoric problem about finding the cardinal number and the elements of the factor set according to this relation. We examine…

Representation Theory · Mathematics 2012-01-09 Krasimir Yordzhev , Hristina Kostadinova

Matrices over the dual numbers are considered. We propose an approach to classify these matrices up to similarity. Some preliminary results on the realization of this approach are obtained. In particular, we produce explicitly canonical…

Rings and Algebras · Mathematics 2009-10-06 I. M. Trishin

It is known that if A and B are two n-by-n complex matrices and (A,A^T) is simultaneously equivalent to (B,B^T), then A is congruent to B. We extend this statement to multilinear forms.

Representation Theory · Mathematics 2007-10-04 Genrich R. Belitskii , Vladimir V. Sergeichuk

Shifts of finite type defined from shift equivalent matrices must be flow equivalent.

Dynamical Systems · Mathematics 2025-10-28 Mike Boyle

We propose an alternative approach for the construction of the unitary matrix which performs generalized unitary rotations of the system consisting of independent identical subsystems (for example spin system). This matrix, when applied to…

Quantum Physics · Physics 2015-06-22 Paweł Jakubczyk , Yevgen Kravets , Dorota Jakubczyk

A square matrix is nonderogatory if its Jordan blocks have distinct eigenvalues. We give canonical forms (i) for nonderogatory complex matrices up to unitary similarity and (ii) for pairs of complex matrices up to similarity, in which one…

Representation Theory · Mathematics 2011-12-19 Vyacheslav Futorny , Roger A. Horn , Vladimir V. Sergeichuk

Structured canonical forms under unitary and suitable structure-preserving similarity transformations for normal and (skew-)Hamiltonian as well as normal and per(skew)-Hermitian matrices are proposed. Moreover, an algorithm for computing…

Numerical Analysis · Mathematics 2024-03-19 Erna Begovic , Heike Fassbender , Philip Saltenberger