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Finding a Z-eigenpair of a symmetric tensor is equivalent to finding a KKT point of a sphere constrained minimization problem. Based on this equivalency, in this paper, we first propose a class of iterative methods to get a Z-eigenpair of a…

Optimization and Control · Mathematics 2022-03-15 Dong-hui Li , Xueli Bai , Jiefeng Xu

We propose a new modification of Newton iteration for finding some nonnegative Z-eigenpairs of a nonnegative tensor. The method has local quadratic convergence to a nonnegative eigenpair of a nonnegative tensor, under the usual assumption…

Numerical Analysis · Mathematics 2022-07-19 Chun-Hua Guo , Wen-Wei Lin , Ching-Sung Liu

Recent work on eigenvalues and eigenvectors for tensors of order m >= 3 has been motivated by applications in blind source separation, magnetic resonance imaging, molecular conformation, and more. In this paper, we consider methods for…

Numerical Analysis · Mathematics 2011-11-14 Tamara G. Kolda , Jackson R. Mayo

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

We propose a modified Newton iteration for finding some nonnegative Z-eigenpairs of a nonnegative tensor. When the tensor is irreducible, all nonnegative eigenpairs are known to be positive. We prove local quadratic convergence of the new…

Numerical Analysis · Mathematics 2017-05-23 Chun-Hua Guo , Wen-Wei Lin , Ching-Sung Liu

This paper proposes a Newton-type method to solve numerically the eigenproblem of several diagonalizable matrices, which pairwise commute. A classical result states that these matrices are simultaneously diagonalizable. From a suitable…

Numerical Analysis · Mathematics 2022-11-07 Rima Khouja , Bernard Mourrain , Jean-Claude Yakoubsohn

We are concerned with the tensor equations whose coefficient tensor is an M-tensor. We first propose a Newton method for solving the equation with a positive constant term and establish its global and quadratic convergence. Then we extend…

Optimization and Control · Mathematics 2021-01-28 Dong-Hui Li Jie-Feng Xu , Hong-Bo Guan

In this paper, we focus on a special class of symmetric tensors, which can be orthogonally diagonalizable, and investigate their Z-eigenpairs problem. We show that the eigenpairs can be uniformly expressed using several basic eigenpairs,…

Spectral Theory · Mathematics 2021-12-09 Lei Wang , Xiurui Geng

Let $A \in (\mathbb{C}^{n})^{\otimes p}$ be a complex tensor of order $p$. The pair $(v,\eta)\in\mathbb{C}^n\times \mathbb{C}$ is called an h-eigenpair of $A$, if $v\neq0$ and it satisfies $Av^{p-1}=\eta^{p-2} v$, where $Av^{p-1}$ is the…

Numerical Analysis · Mathematics 2018-01-12 Paul Breiding

The tensor power method generalizes the matrix power method to higher order arrays, or tensors. Like in the matrix case, the fixed points of the tensor power method are the eigenvectors of the tensor. While every real symmetric matrix has…

Numerical Analysis · Mathematics 2025-03-28 Tommi Muller , Elina Robeva , Konstantin Usevich

We introduce the concept of mode-k generalized eigenvalues and eigenvectors of a tensor and prove some properties of such eigenpairs. In particular, we derive an upper bound for the number of equivalence classes of generalized tensor…

Numerical Analysis · Mathematics 2016-01-15 Liping Chen , Lixing Han , Liangmin Zhou

The theory of eigenvalues and eigenvectors is one of the fundamental and essential components in tensor analysis. Computing the dominant eigenpair of an essentially nonnegative tensor is an important topic in tensor computation because of…

Numerical Analysis · Mathematics 2022-01-03 Xingbang Cui , Liping Zhang

In this paper, we propose the tensor Noda iteration (NI) and its inexact version for solving the eigenvalue problem of a particular class of tensor pairs called generalized $\mathcal{M}$-tensor pairs. A generalized $\mathcal{M}$-tensor pair…

Numerical Analysis · Mathematics 2023-03-03 Wanli Ma , Weiyang Ding , Yimin Wei

This paper studies nuclear norms of symmetric tensors. As recently shown by Friedland and Lim, the nuclear norm of a symmetric tensor can be achieved at a symmetric decomposition. We discuss how to compute symmetric tensor nuclear norms,…

Optimization and Control · Mathematics 2016-05-31 Jiawang Nie

Efficient solvers for tensor eigenvalue problems are important tools for the analysis of higher-order data sets. Here we introduce, analyze and demonstrate an extrapolation method to accelerate the widely used shifted symmetric higher order…

Numerical Analysis · Mathematics 2023-07-25 Sara Pollock , Rhea Shroff

We first investigate properties of M-tensor equations. In particular, we show that if the constant term of the equation is nonnegative, then finding a nonnegative solution of the equation can be done by finding a positive solution of a…

Optimization and Control · Mathematics 2020-07-28 Dong-Hui Li , Hong-Bo Guan , Jie-Feng Xu

Real eigenpairs of a real antisymmetric tensor of order $p$ and dimension $N$ can be defined as pairs of a real eigenvalue and $p$ orthonormal $N$-dimensional real eigenvectors. We compute the signed and the genuine distributions of such…

High Energy Physics - Theory · Physics 2025-10-24 Nicolas Delporte , Giacomo La Scala , Naoki Sasakura , Reiko Toriumi

We construct generic real symmetric tensors with only real eigenvectors or, equivalently, real homogeneous polynomials with the maximum possible finite number of critical points on the sphere.

Algebraic Geometry · Mathematics 2018-07-25 Khazhgali Kozhasov

We consider the problem of decomposing a real-valued symmetric tensor as the sum of outer products of real-valued, pairwise orthogonal vectors. Such decompositions do not generally exist, but we show that some symmetric tensor decomposition…

Numerical Analysis · Mathematics 2015-03-05 Tamara G. Kolda

In this paper, we propose and analyze some practical Newton methods for electronic structure calculations. We show the convergence and the local quadratic convergence rate for the Newton method when the Newton search directions are…

Optimization and Control · Mathematics 2020-01-28 Xiaoying Dai , Liwei Zhang , Aihui Zhou
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