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Related papers: On the distance from a matrix to nilpotents

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In this note, we study the distance from an arbitrary nonzero projection $P$ to the set of nilpotents in a factor $\mathcal{M}$ equipped with a normal faithful tracial state $\tau$. We prove that the distance equals $(2\cos…

Operator Algebras · Mathematics 2024-06-14 Masaki Izumi , Michiya Mori

Building on MacDonald's formula for the distance from a rank-one projection to the set of nilpotents in $\mathbb{M}_n(\mathbb{C})$, we prove that the distance from a rank $n-1$ projection to the set of nilpotents in…

Classical Analysis and ODEs · Mathematics 2021-02-18 Zachary Cramer

In this paper a new fast algorithm for the computation of the distance of a matrix to a nearby defective matrix is presented. The problem is formulated following Alam & Bora (Linear Algebra Appl., 396 (2005), pp.~273--301) and reduces to…

Numerical Analysis · Mathematics 2012-11-05 Melina A. Freitag , Alastair Spence

Consider an $n \times n$ matrix polynomial $P(\lambda)$. An upper bound for a spectral norm distance from $P(\lambda)$ to the set of $n \times n$ matrix polynomials that have a given scalar $\mu\in\mathbb{C}$ as a multiple eigenvalue was…

Numerical Analysis · Mathematics 2014-10-14 E. Kokabifar , G. B. Loghmani , P. J. Psarrakos

Consider an $n \times n$ matrix polynomial $P(\lambda)$. A spectral norm distance from $P(\lambda)$ to the set of $n \times n$ matrix polynomials that have a given scalar $\mu\in\mathbb{C}$ as a multiple eigenvalue was introduced and…

Numerical Analysis · Mathematics 2014-11-17 Esmaeil Kokabifar , G. B. Loghmani , A. M. Nazari , S. M. Karbassi

Consider an $n\times n$ matrix polynomial $P(\lambda)$ and a set $\Sigma$ consisting of $k \le n$ distinct complex numbers. In this paper, a (weighted) spectral norm distance from $P(\lambda)$ to the matrix polynomials whose spectra include…

Numerical Analysis · Mathematics 2015-05-26 E. Kokabifar , G. B. Loghmani , P. J. Psarrakos , S. M. Karbassi

The problem of finding the distance from a given $n \times n$ matrix polynomial of degree $k$ to the set of matrix polynomials having the elementary divisor $(\lambda-\lambda_0)^j, \, j \geqslant r,$ for a fixed scalar $\lambda_0$ and $2…

Numerical Analysis · Mathematics 2019-11-05 Biswajit Das , Shreemayee Bora

We show how the Riemannian distance on $\mathbb{S}^n_{++}$, the cone of $n\times n$ real symmetric or complex Hermitian positive definite matrices, may be used to naturally define a distance between two such matrices of different…

Numerical Analysis · Mathematics 2018-06-06 Lek-Heng Lim , Rodolphe Sepulchre , Ke Ye

We prove that if $P$ is a set of $n$ points in $\mathbb{C}^2$, then either the points in $P$ determine $\Omega(n^{1-\epsilon})$ complex distances, or $P$ is contained in a line with slope $\pm i$. If the latter occurs then each pair of…

Combinatorics · Mathematics 2023-08-24 Adam Sheffer , Joshua Zahl

The discrepancy of the $n \times n$ greater-than matrix is shown to be $\frac{\pi}{2 \ln n}$ up to lower order terms.

Computational Complexity · Computer Science 2023-09-19 Srikanth Srinivasan , Amir Yehudayoff

Let $M^n\ (n\geq3)$ be a complete Riemannian manifold with $\sec_M\geq 1$, and let $M_i^{n_i}$ ($i=1,2$) be two comlplete totally geodesic submanifolds in $M$. We prove that if $n_1+n_2=n-2$ and if the distance $|M_1M_2|\geq\frac{\pi}{2}$,…

Differential Geometry · Mathematics 2016-05-06 Xiaole Su , Hongwei Sun , Yusheng Wang

We show that computing the interleaving distance between two multi-graded persistence modules is NP-hard. More precisely, we show that deciding whether two modules are $1$-interleaved is NP-complete, already for bigraded, interval…

Computational Geometry · Computer Science 2019-10-10 Håvard Bakke Bjerkevik , Magnus Bakke Botnan , Michael Kerber

Let $S$ be a set of points in $\mathbb{R}^2$ contained in a circle and $P$ an unrestricted point set in $\mathbb{R}^2$. We prove the number of distinct distances between points in $S$ and points in $P$ is at least…

Metric Geometry · Mathematics 2020-09-18 Alex McDonald , Brian McDonald , Jonathan Passant , Anurag Sahay

This paper concerns the bounds for spectral norm distance from a normal matrix polynomial $P(\lambda)$ to the set of matrix polynomials that have $\mu$ as a multiple eigenvalue. Also construction of associated perturbations of $P(\lambda)$…

Numerical Analysis · Mathematics 2014-01-03 Esmaeil Kokabifar , Ghasem Barid Loghmani

We prove that for any $\lambda > 1$, fixed in advance, the permanent of an $n \times n$ complex matrix, where the absolute value of each diagonal entry is at least $\lambda$ times bigger than the sum of the absolute values of all other…

Combinatorics · Mathematics 2018-09-13 Alexander Barvinok

Graham and Winkler derived a formula for the determinant of the distance matrix of a full-dimensional set of $n + 1$ points $\{ x_{0}, x_{1}, \ldots , x_{n} \}$ in the Hamming cube $H_{n} = ( \{ 0,1 \}^{n}, \ell_{1} )$. In this article we…

Functional Analysis · Mathematics 2020-08-03 Ian Doust , Gavin Robertson , Alan Stoneham , Anthony Weston

We show that the mixed discriminant of $n$ positive semidefinite $n \times n$ real symmetric matrices can be approximated within a relative error $\epsilon >0$ in quasi-polynomial $n^{O(\ln n -\ln \epsilon)}$ time, provided the distance of…

Data Structures and Algorithms · Computer Science 2019-04-19 Alexander Barvinok

Metric estimates are quantities that approximate the word metric of a finitely presented group up to multiplicative constants. In this paper, they are computed for some nilpotent groups and used to compute the distortion functions of…

Group Theory · Mathematics 2014-02-18 José Burillo , Eric López Platón

Let $P$ be a set of $n$ points in the real plane contained in an algebraic curve $C$ of degree $d$. We prove that the number of distinct distances determined by $P$ is at least $c_d n^{4/3}$, unless $C$ contains a line or a circle. We also…

Metric Geometry · Mathematics 2016-07-20 János Pach , Frank de Zeeuw

The approximation of matrices to the sum of tensor products of Hermitian matrices is studied. A minimum decomposition of matrices on tensor space $H_1\otimes H_2$ in terms of the sum of tensor products of Hermitian matrices on $H_1$ and…

Quantum Physics · Physics 2009-11-13 Shao-Ming Fei , Naihuan Jing , Bao-Zhi Sun
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