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Related papers: Inverse tensor eigenvalue problem

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I investigate on the number t of real eigenvectors of a real symmetric tensor. In particular, given a homogeneous polynomial f of degree d in 3 variables, i prove that t is greater or equal than 2c+1, if d is odd and t is greater or equal…

Algebraic Geometry · Mathematics 2016-12-16 Mauro Maccioni

The Minkowski tensors are valuations on the space of convex bodies in ${\mathbb R}^n$ with values in a space of symmetric tensors, having additional covariance and continuity properties. They are extensions of the intrinsic volumes, and as…

Metric Geometry · Mathematics 2016-05-04 Daniel Hug , Rolf Schneider

In theory and practice of inverse problems, linear operator equations $Tx=y$ with compact linear forward operators $T$ having a non-closed range $\mathcal{R}(T)$ and mapping between infinite dimensional Hilbert spaces plays some prominent…

Numerical Analysis · Mathematics 2020-02-11 Ronny Ramlau , Christoph Koutschan , Bernd Hofmann

Assume that the eigenvalues of a finite hermitian linear operator have been deduced accurately but the linear operator itself could not be determined with precision. Given a set of eigenvalues $\lambda$ and a hermitian matrix $M$, this…

Numerical Analysis · Mathematics 2017-03-03 Marcel Padilla , Benedikt Kolbe , Aniruddha Chakraborty

We discuss the (right) eigenvalue equation for $\mathbb{H}$, $\mathbb{C}$ and $\mathbb{R}$ linear quaternionic operators. The possibility to introduce an isomorphism between these operators and real/complex matrices allows to translate the…

Mathematical Physics · Physics 2009-11-07 S. De Leo , G. Scolarici , L. Solombrino

For an expensive to evaluate computer simulator, even the estimate of the overall surface can be a challenging problem. In this paper, we focus on the estimation of the inverse solution, i.e., to find the set(s) of input combinations of the…

Methodology · Statistics 2016-06-07 Pritam Ranjan , Mark Thomas , Holger Teismann , Sujay Mukhoti

In this contribution we solve the following problem. Let H_{nm} be a Hilbert space of dimension nm, and let A be a positive semidefinite self-adjoint linear operator on H_{nm}. Under which conditions on the spectrum has A a positive partial…

Quantum Physics · Physics 2013-05-29 Roland Hildebrand

This paper investigates the necessary and sufficient algebraic conditions to a constrained system of Sylvester-type quaternion tensor equations. An explicit formula of the general solution regarding the Moore-Penrose inverses of some block…

Rings and Algebras · Mathematics 2023-07-04 Mahmoud Saad Mehany , Qing-Wen Wang

For a subset $S$ of nonnegative integers and a vector $\mathbf{a}=(a_1,\dots,a_k)$ of positive integers, let $V'_S(\mathbf{a})=\{ a_1s_1+\cdots+a_ks_k : s_i\in S\} \setminus \{0\}$. For a positive integer $n$, let $\mathcal T(n)$ be the set…

Number Theory · Mathematics 2021-06-23 Mingyu Kim

In this work, the real nonnegative inverse eigenvalue problem is solved for a particular class of permutative matrix. The necessary and sufficient condition there is also shown to be sufficient for the symmetric nonnegative inverse…

Spectral Theory · Mathematics 2018-12-27 Pietro Paparella , Amber R. Thrall

Tree tensor networks such as the tensor train format are a common tool for high dimensional problems. The associated multivariate rank and accordant tuples of singular values are based on different matricizations of the same tensor. While…

Numerical Analysis · Mathematics 2019-04-10 Sebastian Krämer

The stated paper is dedicated to one of the inverse problems of spectral theory. It is necessary to define matrix (constant) coefficients of some quadratic pencil, if the eigenvalues of this pencil are known. Furthermore, it is known that…

Spectral Theory · Mathematics 2015-12-02 N. A. Aliyev , Y. Y. Mustafayeva , R. F. Efendiyev

In 2011, Kilmer and Martin proposed tensor singular value decomposition (T-SVD) for third order tensors. Since then, T-SVD has applications in low rank tensor approximation, tensor recovery, multi-view clustering, multi-view feature…

Numerical Analysis · Mathematics 2021-08-11 Liqun Qi , Chen Ling , Jinejie Liu , Chen Ouyang

Consider a compact Riemannian manifold in dimension $n\geq 3$ with strictly convex boundary. We show that the transverse ray transform of $1$ tensors and the mixed ray transform of $1+1$ tensors are invertible, up to natural obstructions,…

Differential Geometry · Mathematics 2024-01-18 Gunther Uhlmann , Jian Zhai

We are concerned with the tensor equation with an M-tensor or Z-tensor, which we call the M- tensor equation or Z-tensor equation respectively. We derive a necessary and sufficient condition for a Z (or M)-tensor equation to have…

Optimization and Control · Mathematics 2018-12-27 Dong-Hui Li , Hong-Bo Guan , Xiao-Zhou Wang

An algorithm for finding the eigenvalue of a nonnegative irreducible tensor was recently proposed by Michael Ng, Liqun Qi, and Guanglu Zhou in {\it Finding the largest eigenvalue of a nonnegative tensor}. However, the authors did not prove…

Numerical Analysis · Mathematics 2010-11-19 K. J. Pearson

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

We first prove two new spectral properties for symmetric nonnegative tensors. We prove a maximum property for the largest H-eigenvalue of a symmetric nonnegative tensor, and establish some bounds for this eigenvalue via row sums of that…

Spectral Theory · Mathematics 2012-11-27 Liqun Qi

The purpose of this paper is to study the problem of computing unitary eigenvalues (U-eigenvalues) of non-symmetric complex tensors. By means of symmetric embedding of complex tensors, the relationship between U-eigenpairs of a…

Quantum Physics · Physics 2019-07-02 Mengshi Zhang , Guyan Ni , Guofeng Zhang

This article introduces an algebraic framework for establishing eigenvalue bounds for symmetric positive definite tensors by leveraging intrinsic invariants, specifically the trace and determinant (resultant). We derive a hierarchy of…

Numerical Analysis · Mathematics 2026-05-15 Snigdhashree Nayak , Hemant Sharma , Nachiketa Mishra