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The eigenvalues and eigenvectors of nonnormal matrices can be unstable under perturbations of their entries. This renders an obstacle to the analysis of numerical algorithms for non-Hermitian eigenvalue problems. A recent technique to…

Probability · Mathematics 2026-04-14 Rikhav Shah , Nikhil Srivastava , Edward Zeng

We design a fast implicit real QZ algorithm for eigenvalue computation of structured companion pencils arising from linearizations of polynomial rootfinding problems. The modified QZ algorithm computes the generalized eigenvalues of an…

Numerical Analysis · Mathematics 2017-03-27 Paola Boito , Yuli Eidelman , Luca Gemignani

Recent developments in causal inference have greatly shifted the interest from estimating the average treatment effect to the individual treatment effect. In this article, we improve the predictive accuracy of representation learning and…

Machine Learning · Statistics 2025-08-05 Yang Sun , Wenbin Lu , Yi-Hui Zhou

Two are the objectives of the present paper. First we study properties of a differentially simple commutative ring R with respect to a set D of derivations of R. Among the others we investigate the relation between the D-simplicity of R and…

Rings and Algebras · Mathematics 2012-10-05 Michael Gr. Voskoglou

We introduce a new technique to prove bounds for the spectral radius of a random matrix, based on using Jensen's formula to establish the zerofreeness of the associated characteristic polynomial in a region of the complex plane. Our…

Probability · Mathematics 2025-10-01 Sidhanth Mohanty , Amit Rajaraman

We study the backward stability of running a backward stable eigenstructure solver on a pencil $S(\lambda)$ that is a strong linearization of a rational matrix $R(\lambda)$ expressed in the form $R(\lambda)=D(\lambda)+ C(\lambda…

Numerical Analysis · Mathematics 2021-03-31 Froilán M. Dopico , María C. Quintana , Paul Van Dooren

If $A$ is a $2n \times 2n$ real positive definite matrix, then there exists a symplectic matrix $M$ such that $M^TAM = \left [ \begin{array}{cc} D & O \\ O & D \end{array} \right ]$ where $D= \diag (d_1 (A), \ldots, d_n(A))$ is a diagonal…

Mathematical Physics · Physics 2018-03-21 Rajendra Bhatia , Tanvi Jain

We investigate $(0,1)$-matrices that are {\em convex}, which means that the ones are consecutive in every row and column. These matrices occur in discrete tomography. The notion of ranked essential sets, known for permutation matrices, is…

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

Rank-1 modifications in k-times (k > 1) often are performed to achieve rank-k modification. We propose a rank- k modification for enhancing computational efficiency. As the first step towards a rank- k modification, an algorithm to perform…

Numerical Analysis · Mathematics 2017-06-05 HyungSeon Oh , Zhe Hu

We resolve an algebraic version of Schoenberg's celebrated theorem [Duke Math.J., 1942] characterizing entrywise matrix transforms that preserve positive definiteness. Compared to the classical real and complex settings, we consider…

Rings and Algebras · Mathematics 2026-02-05 Dominique Guillot , Himanshu Gupta , Prateek Kumar Vishwakarma , Chi Hoi Yip

Mathematical descriptions of flow phenomena usually come in the form of partial differential equations. The differential operators used in these equations may have properties such as symmetry, skew-symmetry, positive or negative…

Numerical Analysis · Mathematics 2017-10-20 Bas van 't Hof , Mathea J. Vuik

Evolutionary partial differential equations play a crucial role in many areas of science and engineering. Spatial discretization of these equations leads to a system of ordinary differential equations which can then be solved by numerical…

Numerical Analysis · Mathematics 2024-11-22 F. K. J. Niggl

We consider square matrices over $\mathbb{C}$ satisfying an identity relating their eigenvalues and the corresponding eigenvectors re-proved and discussed by Denton, Parker, Tao and Zhang, called the eigenvector-eigenvalue identity. We…

Rings and Algebras · Mathematics 2025-04-01 Malgorzata Stawiska

A problem that is frequently encountered in a variety of mathematical contexts, is to find the common invariant subspaces of a single, or set of matrices. A new method is proposed that gives a definitive answer to this problem. The key idea…

General Mathematics · Mathematics 2024-08-29 Ahmad Y. Al-Dweik , Ryad Ghanam , Gerard Thompson , Hassan Azad

Given an integral domain A we consider the set of all integral elements over A that can occur as an eigenvalue of a symmetric matrix over A. We give a sufficient criterion for being such an element. In the case where A is the ring of…

Number Theory · Mathematics 2016-08-12 Mario Kummer

For positive integers $1 \leq k \leq n$ let $M_n$ be the algebra of all $n \times n$ complex matrices and $M_n^{\le k}$ its subset consisting of all matrices of rank at most $k$. We first show that whenever $k>\frac{n}{2}$, any continuous…

Spectral Theory · Mathematics 2025-07-10 Alexandru Chirvasitu , Ilja Gogić , Mateo Tomašević

For a given class of structured matrices $\mathbb S$, we find necessary and sufficient conditions on vectors $x,w\in \C^{n+m}$ and $y,z \in \C^{n}$ for which there exists $\Delta=[\Delta_1~\Delta_2]$ with $\Delta_1 \in \mathbb S$ and…

Optimization and Control · Mathematics 2022-08-29 Mohit Kumar Baghel , Punit Sharma

A "mysterious" relation between the number variance and the variance of the $L$-th ordered eigenvalue, first suggested by French et al. [Ann. Phys. 113, 277 (1978)], is revisited and proven to be asymptotically exact for the $\beta=2$ Dyson…

Mathematical Physics · Physics 2026-04-21 Peng Tian , Roman Riser , Eugene Kanzieper

Projection-cost preservation is a low-rank approximation guarantee which ensures that the cost of any rank-$k$ projection can be preserved using a smaller sketch of the original data matrix. We present a general structural result outlining…

Machine Learning · Statistics 2018-08-21 Agniva Chowdhury , Jiasen Yang , Petros Drineas

The study of finite J effects for the light-cone AdS superstring by means of the Thermodynamic Bethe Ansatz requires an understanding of a companion 2d theory which we call the mirror model. It is obtained from the original string model by…

High Energy Physics - Theory · Physics 2009-06-10 Gleb Arutyunov , Sergey Frolov