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Let $A$ be a square matrix with a given structure (e.g. real matrix, sparsity pattern, Toeplitz structure, etc.) and assume that it is unstable, i.e. at least one of its eigenvalues lies in the complex right half-plane. The problem of…

Numerical Analysis · Mathematics 2024-02-23 Nicola Guglielmi , Stefano Sicilia

This paper studies the unitary diagonalization of matrices over formal power series rings. Our main result shows that a normal matrix is unitarily diagonalizable if and only if its minimal polynomial completely splits over the ring and the…

Commutative Algebra · Mathematics 2026-02-10 Zihao Dai , Hao Liang , Jingyu Lu , Lihong Zhi

We study the eigenvalues of the Kohn Laplacian on a closed embedded strictly pseudoconvex CR manifold as functionals on the set of positive oriented pseudohermitian structures $\mathcal{P}_{+}$. We show that the functionals are continuous…

Complex Variables · Mathematics 2024-04-29 Amine Aribi , Duong Ngoc Son

We investigate spectral conditions on Hermitian matrices of roots of unity. Our main results are conjecturally sharp upper bounds on the number of residue classes of the characteristic polynomial of such matrices modulo ideals generated by…

Combinatorics · Mathematics 2023-07-18 Gary R. W. Greaves , Chin Jian Woo

This paper aims at solving the Hermitian SDC problem, i.e., that of \textit{simultaneously diagonalizing via $*$-congruence} a collection of finitely many (not need pairwise commute) Hermitian matrices. Theoretically, we provide some…

Numerical Analysis · Mathematics 2020-11-17 T. H. Le , T. N. Nguyen

We study symplectic linear algebra over the ring $\Rt$ of Colombeau generalized numbers. Due to the algebraic properties of $\Rt$ it is possible to preserve a number of central results of classical symplectic linear algebra. In particular,…

Rings and Algebras · Mathematics 2014-07-01 Sanja Konjik , Guenther Hoermann , Michael Kunzinger

The product of a Hermitian matrix and a positive semidefinite matrix has only real eigenvalues. We present bounds for sums of eigenvalues of such a product.

Functional Analysis · Mathematics 2019-05-13 Bo-Yan Xi , Fuzhen Zhang

The eigenvalue problem plays a central role in linear algebra and its applications in control and optimization methods. In particular, many matrix decompositions rely upon computation of eigenvalue-eigenvector pairs, such as diagonal or…

Optimization and Control · Mathematics 2016-07-15 Pavel Osinenko , Grigory Devadze , Stefan Streif

We present a simple, accurate method for solving consistent, rank-deficient linear systems, with or without addi- tional rank-completing constraints. Such problems arise in a variety of applications, such as the computation of the…

Numerical Analysis · Mathematics 2014-01-15 Josef Sifuentes , Zydrunas Gimbutas , Leslie Greengard

As is known, the irreducible projective representations (Reps) of anti-unitary groups contain three different situations, namely, the real, the complex and quaternion types with torsion number 1,2,4 respectively. This subtlety increases the…

Mathematical Physics · Physics 2021-06-11 Zhen-Yuan Yang , Jian Yang , Chen Fang , Zheng-Xin Liu

The structured $\varepsilon$-stability radius is introduced as a quantity to assess the robustness of transient bounds of solutions to linear differential equations under structured perturbations of the matrix. This applies to general…

Numerical Analysis · Mathematics 2024-01-19 Christian Lubich , Nicola Guglielmi

Positive semidefinite Hermitian matrices that are not fully specified can be completed provided their underlying graph is chordal. If the matrix is positive definite the completion can be uniquely characterized as the matrix that maximizes…

Rings and Algebras · Mathematics 2021-12-08 Olaf Dreyer

For a diagonalizable linear operator $H:\mathscr{H}\to\mathscr{H}$ acting in a separable Hilbert space $\mathscr{H}$, i.e., an operator with a purely point spectrum, eigenvalues with finite algebraic multiplicities, and a set of…

Mathematical Physics · Physics 2025-08-26 Nil İnce , Hasan Mermer , Ali Mostafazadeh

The analysis of diagonalizable matrices in terms of their so-called isospectral reduction represents a versatile approach to the underlying eigenvalue problem. Starting from a symmetry of the isospectral reduction, we show in the present…

General Mathematics · Mathematics 2021-05-27 Malte Röntgen , Maxim Pyzh , Christian V. Morfonios , Peter Schmelcher

We study the convex relaxation of a polynomial optimization problem, maximizing a product of linear forms over the complex sphere. We show that this convex program is also a relaxation of the permanent of Hermitian positive semidefinite…

Optimization and Control · Mathematics 2021-01-21 Chenyang Yuan , Pablo A. Parrilo

In this paper, we establish a connection between the formalism of $\mathcal{R}$-transforms for non-Hermitian random matrices and the framework of spherical integrals, using the replica method. This connection was previously proved in the…

Disordered Systems and Neural Networks · Physics 2026-05-15 Pierre Bousseyroux , Marc Potters

We study the differential and metric structures of the set of real square roots of a non-singular real matrix, under the assumption that the matrix and its square roots are semi-simple, or symmetric, or orthogonal.

Differential Geometry · Mathematics 2020-10-30 Alberto Dolcetti , Donato Pertici

This paper introduces a framework to study discrete optimization problems which are parametric in the following sense: their constraint matrices correspond to matrices over the ring $\mathbb{Z}[x]$ of polynomials in one variable. We…

Optimization and Control · Mathematics 2024-03-08 Marcel Celaya , Stefan Kuhlmann , Robert Weismantel

The complex eigenvalues of some non-Hermitian Hamiltonians, e.g. parity-time symmetric Hamiltonians, come in complex-conjugate pairs. We show that for non-Hermitian scattering Hamiltonians (of a structureless particle in one dimension)…

Quantum Physics · Physics 2019-05-22 M. A. Simón , A. Buendía , A. Kiely , Ali Mostafazadeh , J. G. Muga

Telek (2022) asked whether a rational arrival process (RAP), specified by matrices ${G}_0$ and ${G}_1$ and an initial row vector ${\nu}$, with strictly positive joint densities and a unique dominant real eigenvalue of ${G}_0$ must admit an…

Probability · Mathematics 2026-03-31 Oscar Peralta
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