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The study of solving the inverse eigenvalue problem for nonnegative matrices has been around for decades. It is clear that an inverse eigenvalue problem is trivial if the desirable matrix is not restricted to a certain structure. Provided…

Numerical Analysis · Mathematics 2014-08-13 Matthew M. Lin

The study of solving inverse singular value problems for nonnegative matrices has been around for decades. It is clear that an inverse singular problem is trivial if the desirable matrix is not restricted to a certain structure. Provided…

Numerical Analysis · Mathematics 2013-12-11 Sheng-Jhih Wu , Matthew M. Lin

We study the inverse eigenvalue problem for finding doubly stochastic matrices with specified eigenvalues. By making use of a combination of Dykstra's algorithm and an alternating projection process onto a non-convex set, we derive hybrid…

Numerical Analysis · Mathematics 2023-05-31 Kassem Rammal , Bassam Mourad , Hassan Abbas , Hassan Issa

This paper is concerned with the nonnegative inverse eigenvalue problem of finding a nonnegative matrix such that its spectrum is the prescribed self-conjugate set of complex numbers. We first reformulate the nonnegative inverse eigenvalue…

Numerical Analysis · Mathematics 2017-06-13 Zhi Zhao , Zheng-Jian Bai , Xiao-Qing Jin

We present here necessary and sufficient conditions for the invertibility of circulant and symmetric matrices that depend on three parameters and moreover, we explicitly compute the inverse. The techniques we use are related with the…

Classical Analysis and ODEs · Mathematics 2015-05-30 A. Carmona , A. M. Encinas , S. Gago , M. J. Jiménez , M. Mitjana

We show that if a list of nonzero complex numbers $\sigma=(\lambda_1,\lambda_2,\ldots,\lambda_k)$ is the nonzero spectrum of a diagonalizable nonnegative matrix, then $\sigma$ is the nonzero spectrum of a diagonalizable nonnegative matrix…

Spectral Theory · Mathematics 2018-05-18 Thomas J. Laffey , Helena Šmigoc

We present a real symmetric tri-diagonal matrix of order $n$ whose eigenvalues are $\{2k \}_{k=0}^{n-1}$ which also satisfies the additional condition that its leading principle submatrix has a uniformly interlaced spectrum, $\{2l + 1…

Numerical Analysis · Mathematics 2014-02-25 G. M. L. Gladwell , T. H. Jones , N. B. Willms

We present a prescription for forming matrices with specified eigenvalues and known eigenvectors. With this method, we can form Hermitian, anti-Hermitian, symmetric and general matrices with arbitrary eigenvalues. In addition we propose an…

Quantum Physics · Physics 2007-05-23 Habatwa V. Mweene

The ensemble of antagonistic matrices is introduced and studied. In antagonistic matrices the entries $\mathcal A_{i,j}$ and $\mathcal A_{j,i}$ are real and have opposite signs, or are both zero, and the diagonal is zero. This…

Mathematical Physics · Physics 2016-08-25 Giovanni M. Cicuta , Luca Guido Molinari

A hollow matrix described by a graph $G$ is a real symmetric matrix having all diagonal entries equal to zero and with the off-diagonal entries governed by the adjacencies in $G$. For a given graph $G$, the determination of all possible…

Combinatorics · Mathematics 2023-06-23 F. Scott Dahlgren , Zachary Gershkoff , Leslie Hogben , Sara Motlaghian , Derek Young

We extend previous work on the eigenvalue problem for Hermitian octonionic matrices by discussing the case where the eigenvalues are not real, giving a complete treatment of the 2x2 case, and summarizing some prelimenary results for the 3x3…

Rings and Algebras · Mathematics 2007-05-23 Tevian Dray , Jason Janesky , Corinne A. Manogue

It is well known that many problems in interval computation are intractable, which restricts our attempts to solve large problems in reasonable time. This does not mean, however, that all problems are computationally hard. Identifying…

Numerical Analysis · Computer Science 2022-11-07 Milan Hladík

In this paper we characterize the nonnegative irreducible tridiagonal matrices and their permutations, using certain entries in their primitive idempotents. Our main result is summarized as follows. Let $d$ denote a nonnegative integer. Let…

Combinatorics · Mathematics 2010-10-08 Kazumasa Nomura , Paul Terwilliger

The main of this work is to use the unit lower triangular matrices for solving inverse eigenvalue problem of nonnegative matrices and present the easier method to solve this problem.

Numerical Analysis · Mathematics 2018-05-22 Alimohammad Nazari , Atiyeh Nezami

We discuss the eigenvalue problem for 2x2 and 3x3 octonionic Hermitian matrices. In both cases, we give the general solution for real eigenvalues, and we show there are also solutions with non-real eigenvalues.

Rings and Algebras · Mathematics 2007-05-23 Tevian Dray , Corinne A. Manogue

We study the eigenvalue problem for some special class of anti-triangular matrices. Though the eigenvalue problem is quite classical, as far as we know, almost nothing is known about properties of eigenvalues for anti-triangular matrices.…

Rings and Algebras · Mathematics 2014-03-27 Hiroyuki Ochiai , Makiko Sasada , Tomoyuki Shirai , Takashi Tsuboi

In this paper we prove that the SNIEP $\neq$ DNIEP, i.e. the symmetric and diagonalizable nonnegative inverse eigenvalue problems are different. We also show that the minimum $t>0$ for which $(3+t,3-t,-2,-2,-2)$ is realizable by a…

Combinatorics · Mathematics 2017-01-31 Anthony G Cronin , Thomas J Laffey

Let $\Omega_n$ denote the class of $n \times n$ doubly stochastic matrices (each such matrix is entrywise nonnegative and every row and column sum is 1). We study the diagonals of matrices in $\Omega_n$. The main question is: which $A \in…

Combinatorics · Mathematics 2021-01-13 Richard A. Brualdi , Geir Dahl

We say that a list of complex numbers is "realisable" if it is the spectrum of some (entrywise) nonnegative matrix. The Nonnegative Inverse Eigenvalue Problem (NIEP) is the problem of characterising all realisable lists. Although the NIEP…

Spectral Theory · Mathematics 2017-02-10 Richard Ellard , Helena Šmigoc

It is well known that the dominant eigenvalue of a real essentially nonnegative matrix is a convex function of its diagonal entries. This convexity is of practical importance in population biology, graph theory, demography, analytic…

Numerical Analysis · Mathematics 2011-10-31 Liping Zhang , Liqun Qi , Ziyan Luo
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