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Hermitian tensors are generalizations of Hermitian matrices, but they have very different properties. Every complex Hermitian tensor is a sum of complex Hermitian rank-1 tensors. However, this is not true for the real case. We study basic…

Numerical Analysis · Mathematics 2020-04-29 Jiawang Nie , Zi Yang

A Vec-variety is a suitable functor from finite-dimensional vector spaces to finite-dimensional varieties. Most varieties in the geometry of tensors, e.g. the variety of d-way tensors of slice rank at most r, are of this form. We prove that…

Algebraic Geometry · Mathematics 2025-01-14 Christopher Chiu , Alessandro Danelon , Jan Draisma

We extend a classical result by Derdzinski and Shen, on the restrictions imposed on the Riemann tensor by the existence of a nontrivial Codazzi tensor. The new conditions of the theorem include Codazzi tensors (i.e. closed 1-forms) as well…

Differential Geometry · Mathematics 2012-10-31 Carlo Alberto Mantica , Luca Guido Molinari

Hankel tensors arise from signal processing and some other applications. SOS (sum-of-squares) tensors are positive semi-definite symmetric tensors, but not vice versa. The problem for determining an even order symmetric tensor is an SOS…

Spectral Theory · Mathematics 2014-11-04 Guoyin Li , Liqun Qi , Yi Xu

We study the decomposability and the subdifferential of the tensor nuclear norm. Both concepts are well understood and widely applied in matrices but remain unclear for higher-order tensors. We show that the tensor nuclear norm admits a…

Optimization and Control · Mathematics 2026-03-17 Jiewen Guan , Bo Jiang , Zhening Li

Recent work by several authors has revealed the existence of many unexpected classes of normal weighted composition operators. On the other hand, it is known that every normal operator is a complex symmetric operator. We therefore undertake…

Functional Analysis · Mathematics 2012-05-22 Stephan Ramon Garcia , Christopher Hammond

A novel tensor decomposition framework, termed Tensor Star (TS) decomposition, is proposed which represents a new type of tensor network decomposition based on tensor contractions. This is achieved by connecting the core tensors in a ring…

Image and Video Processing · Electrical Eng. & Systems 2024-09-10 Wuyang Zhou , Yu-Bang Zheng , Qibin Zhao , Danilo Mandic

We define super-energy tensors for arbitrary physical fields, including the gravitational, electromagnetic and massless scalar fields. We also define super-super-energy tensors, and so on. All these tensors satisfy the so-called "Dominant…

General Relativity and Quantum Cosmology · Physics 2007-05-23 J M M Senovilla

We study combinatorial configurations with the associated point and line graphs being strongly regular. Examples not belonging to known classes such as partial geometries and their generalizations or elliptic semiplanes are constructed.…

Combinatorics · Mathematics 2025-09-30 Marién Abreu , Martin Funk , Vedran Krčadinac , Domenico Labbate

We prove that the spectral radius of even order nonnegative irreducible tensors is real geometrically simple. In the case when the order of the tensor is odd, or in the complex field, some conditions are given to guarantee the geometric…

Spectral Theory · Mathematics 2012-03-14 Yuning Yang , Qingzhi Yang

A tensor is a multi-dimensional array of complex numbers, and the Lohe tensor model is an aggregation model on the space of tensors with the same rank and size. It incorporates previously well-studied aggregation models on the space of…

Mathematical Physics · Physics 2021-04-01 Seung-Yeal Ha , Dohyun Kim , Hansol Park

Tensor fields depending on other tensor fields are considered. The concept of extended tensor fields is introduced and the theory of differentiation for such fields is developed.

Differential Geometry · Mathematics 2007-05-23 Ruslan Sharipov

The system of tensor equations (TEs) has received much considerable attention in the recent literature. In this paper, we consider a class of generalized tensor equations (GTEs). An important difference between GTEs and TEs is that GTEs can…

Optimization and Control · Mathematics 2018-10-16 Weijie Yan , Chen Ling , Liyun Ling , Hongjin He

In this paper, we give a necessary and sufficient condition for an even order three dimensional strongly symmetric circulant tensor to be positive semi-definite. In some cases, we show that this condition is also sufficient for this tensor…

Spectral Theory · Mathematics 2015-04-16 Liqun Qi , Qun Wang , Yannan Chen

We compute the expected value of powers of the geometric condition number of random tensor rank decompositions. It is shown in particular that the expected value of the condition number of $n_1\times n_2 \times 2$ tensors with a random…

Numerical Analysis · Mathematics 2022-09-02 Paul Breiding , Nick Vannieuwenhoven

Stimulated by odd-bipartite and even-bipartite hypergraphs, we define odd-bipartite (weakly odd-bipartie) and even-bipartite (weakly even-bipartite) tensors. It is verified that all even order odd-bipartite tensors are irreducible tensors,…

Spectral Theory · Mathematics 2015-03-30 Haibin Chen , Liqun Qi

Third-order tensors are widely used as a mathematical tool for modeling physical properties of media in solid state physics. In most cases, they arise as constitutive tensors of proportionality between basic physics quantities. The…

Mathematical Physics · Physics 2022-11-08 Yakov Itin , Shulamit Reches

A symmetric tensor, which has a symmetric nonnegative decomposition, is called a completely positive tensor. We consider the completely positive tensor decomposition problem. A semidefinite algorithm is presented for checking whether a…

Optimization and Control · Mathematics 2014-11-20 Jinyan Fan , Anwa Zhou

We lay the geometric foundations for the study of the characteristic polynomial of tensors. For symmetric tensors of order $d \geq 3$ and dimension $2$ and symmetric tensors of order $3$ and dimension $3$, we prove that only finitely many…

Algebraic Geometry · Mathematics 2023-08-23 Francesco Galuppi , Fulvio Gesmundo , Ettore Teixeira Turatti , Lorenzo Venturello

Finding the rank of a tensor is a problem that has many applications. Unfortunately it is often very difficult to determine the rank of a given tensor. Inspired by the heuristics of convex relaxation, we consider the nuclear norm instead of…

Optimization and Control · Mathematics 2014-04-23 Harm Derksen