Results 11 to 20 of about 480 (138)

Inverse Eigenvalue Problem and Least-Squares Problem for Skew-Hermitian {P,K + 1}-Reflexive Matrices

open access: yesJournal of Mathematics, 2022
This paper involves related inverse eigenvalue problem and least-squares problem of skew-Hermitian {P,k + 1}-reflexive(antireflexive) matrices and their optimal approximation problems.
Chang-Zhou Dong, Hao-Xue Li
doaj   +2 more sources

On the solvability of an equation involving the Smarandache function and Euler function [PDF]

open access: yes, 2008
In this paper, authors use the properties and the curve figure of two functions to study the solvability of an ...
Duany, Weiguo, Xue, Yanrong
core   +1 more source

Local laws for non-Hermitian random matrices and their products

open access: yes, 2020
Götze F, Naumov A, Tikhomirov A. Local laws for non-Hermitian random matrices and their products. Random Matrices: Theory and Applications. 2020;9(4): 2150004.We consider products of independent n x n non-Hermitian random matrices X-(1), ..., X-(m ...
Tikhomirov, Alexander   +2 more
core   +1 more source

The spectral spread of Hermitian matrices

open access: yes, 2021
Let A be an n×n complex Hermitian matrix and let λ(A)=(λ1,…,λn)∈Rn denote the eigenvalues of A, counting multiplicities and arranged in non-increasing order.
Stojanoff, Demetrio   +2 more
core   +1 more source

Hermitian Octonion Matrices and Numerical Ranges

open access: yes, 2014
Notions of numerical ranges and joint numerical ranges of octonion matrices are introduced. Various properties of hermitian octonion matrices related to eigenvalues and convex cones, such as the convex cone of positive semidefinite matrices, are ...
William & Mary, Dept Math
core   +1 more source

Inversion and factorization of non-Hermitian quasi-Toeplitz matrices

open access: yes, 1988
This paper considers formulas and fast algorithms for the inversion and factorization of non-Hermitian Toeplitz and quasi-Toeplitz (QT) matrices (matrices with a certain “hidden” Toeplitz structure). The results include the following generalizations: (1)
Kailath, Thomas, Bistritz, Yuval
core   +1 more source

Tessellation Groups, Harmonic Analysis on Non‐Compact Symmetric Spaces and the Heat Kernel in View of Cartan Convolutional Neural networks

open access: yesFortschritte der Physik, Volume 74, Issue 4, April 2026.
ABSTRACT In this paper, we continue the development of the Cartan neural networks programme, launched with three previous publications, by focusing on some mathematical foundational aspects that we deem necessary for our next steps forward. The mathematical and conceptual results are diverse and span various mathematical fields, but the inspiring ...
Pietro Fré   +4 more
wiley   +1 more source

Dissipative matrices and related results

open access: yes, 1975
This paper gives a number of theorems extending or related to theorems obtained by Fan in an earlier paper on strictly dissipative matrices. The new results involve the eigenvalues of A -1A∗ and a determinantal inequality involving A and its Hermitian ...
Thompson, R.C.
core   +1 more source

Indefinite Hamiltonian systems whose Titchmarsh–Weyl coefficients have no finite generalized poles of non-positive type [PDF]

open access: yes, 2013
The two-dimensional Hamiltonian system (*)  y'(x)=zJH(x)y(x),  x∈(a,b), where the Hamiltonian H takes non-negative 2x2-matrices as values, and $J:= \begin{pmatrix} 0 & -1 \\ 1 & 0 \end{pmatrix}$, has attracted a lot of interest over the past decades ...
Harald Woracek   +3 more
core   +1 more source

Noncommutative polygonal cluster algebras

open access: yesJournal of the London Mathematical Society, Volume 113, Issue 4, April 2026.
Abstract We define a new family of noncommutative generalizations of cluster algebras called polygonal cluster algebras. These algebras generalize the noncommutative surfaces of Berenstein–Retakh, and are inspired by the emerging theory of Θ$\Theta$‐positivity for the groups Spin(p,q)$\mathrm{Spin}(p,q)$.
Zachary Greenberg   +3 more
wiley   +1 more source

Home - About - Disclaimer - Privacy