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We calculate the eigenvalues of some two-dimensional non-Hermitian Hamiltonians by means of a pseudospectral method and straightforward diagonalization of the Hamiltonian matrix in a suitable basis set. Both sets of results agree remarkably…

Quantum Physics · Physics 2014-03-19 Paolo Amore , Francisco M. Fernández , Javier Garcia

We give formulae for first and second derivatives of generalized eigenvalues/eigenvectors of symmetric matrices and generalized singular values/singular vectors of rectangular matrices when the matrices are linear or nonlinear functions of…

Computation · Statistics 2025-08-18 Jan de Leeuw

The spectral theory of Laplacian tensor is an important tool for revealing some important properties of a hypergraph. It is meaningful to compute all Laplacian H-eigenvalues for some special $k$-uniform hypergraphs. For an odd-uniform loose…

Spectral Theory · Mathematics 2018-05-16 Junjie Yue , Liping Zhang

Identifying locally optimal solutions is an important issue given an optimization model. In this paper, we focus on a special class of symmetric tensors termed regular simplex tensors, which is a newly-emerging concept, and investigate its…

Optimization and Control · Mathematics 2024-02-20 Lei Wang

By excluding some sets, which don't include any eigenvalue of a tensor, from some existing eigenvalue inclusion sets, two new sets are given to locate all eigenvalues of a tensor. And it is shown that these two sets are contained in the…

Numerical Analysis · Mathematics 2017-06-06 Chaoqian Li , Suhua Li , Qingbing Liu , Yaotang Li

The non-Hermitian Bethe-Salpeter eigenvalue problem, in the definite case, is a structured eigenproblem, with real eigenvalues coming in pairs $\{\lambda,-\lambda\}$ where the corresponding pair of eigenvectors are closely related, and…

Numerical Analysis · Mathematics 2026-04-02 Fernando Alvarruiz , Blanca Mellado-Pinto , Jose E. Roman

We compute the joint distributions of arbitrary numbers of eigenvectors of real and complex symmetric random tensors by the quantum field theoretical methods which were previously used to compute the mean distributions. We obtain the random…

High Energy Physics - Theory · Physics 2026-05-12 Naoki Sasakura

The concept of double nonnegativity of matrices is generalized to doubly nonnegative tensors by means of the nonnegativity of all entries and $H$-eigenvalues. This generalization is defined for tensors of any order (even or odd), while it…

Spectral Theory · Mathematics 2015-06-10 Ziyan Luo , Liqun Qi

This paper deals with the class of Q-tensors, that is, a Q-tensor is a real tensor $\mathcal{A}$ such that the tensor complementarity problem $(\q, \mathcal{A})$: $$\mbox{ finding } \x \in \mathbb{R}^n\mbox{ such that }\x \geq \0, \q +…

Optimization and Control · Mathematics 2017-01-18 Yisheng Song , Liqun Qi

Based upon the T-SVD (tensor SVD) of third order tensors, introduced by Kilmer and her collaborators, we define T-singular values of third order tensors. T-singular values of third order tensors are nonnegative scalars. The number of…

Numerical Analysis · Mathematics 2021-03-02 Liqun Qi , Gaohang Yu

We give explicit evaluations of the linear and non-linear Euler sums of hyperharmonic numbers $h_{n}^{\left( r\right) }$ with reciprocal binomial coefficients. These evaluations enable us to extend closed form formula of Euler sums of…

Number Theory · Mathematics 2021-03-23 Levent Kargın , Mümün Can , Ayhan Dil , Mehmet Cenkci

The connection between spherical harmonics and symmetric tensors is explored. For each spherical harmonic, a corresponding traceless symmetric tensor is constructed. These tensors are then extended to include nonzero traces, providing an…

Classical Physics · Physics 2020-10-20 Francisco Gonzalez Ledesma , Matthew Mewes

The noncommutative harmonic oscillator in arbitrary dimension is examined. It is shown that the $\star$-genvalue problem can be decomposed into separate harmonic oscillator equations for each dimension. The noncommutative plane is…

High Energy Physics - Theory · Physics 2009-11-07 Agapitos Hatzinikitas , Ioannis Smyrnakis

Recently, there has been interest in high-precision approximations of the first eigenvalue of the Laplace-Beltrami operator on spherical triangles for combinatorial purposes. We compute improved and certified enclosures to these…

Numerical Analysis · Mathematics 2020-11-19 Joel Dahne , Bruno Salvy

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

A tensor in applied mathematics is usually defined as a multidimensional array of numbers. This presumes a choice of basis in $\mathbb{R}^n$ or in some other vector space, and tensorial concepts are defined accordingly. In this article we…

Rings and Algebras · Mathematics 2020-12-15 Joao Marcos Vensi Basso , Loring W. Tu

In this paper, we first introduce the invertibility of even-order tensors and the separable tensors, including separable symmetry tensors and separable anti-symmetry tensors, defined respectively as the sum and the algebraic sum of rank-1…

Algebraic Geometry · Mathematics 2022-03-25 Changqing Xu

In this paper, we introduce almost (strictly) semi-positive tensors, which extend the concept of almost (strictly) semimonotone matrices. Furthermore, we provide insights into the characteristics of the entries within these almost…

Optimization and Control · Mathematics 2024-05-14 Bharat Pratap Chauhan , Dipti Dubey

This paper is concerned with computations of a few smaller eigenvalues (in absolute value) of a large extremely ill-conditioned matrix. It is shown that smaller eigenvalues can be accurately computed for a diagonally dominant matrix or a…

Numerical Analysis · Mathematics 2017-05-16 Qiang Ye

Evaluation of the eigenvectors of symmetric tridiagonal matrices is one of the most basic tasks in numerical linear algebra. It is a widely known fact that, in the case of well separated eigenvalues, the eigenvectors can be evaluated with…

Numerical Analysis · Mathematics 2014-08-27 Andrei Osipov