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We investigate cases where the finite dual coalgebra of a twisted tensor product of two algebras is a cotwisted tensor product of their respective finite dual coalgebras. This is achieved by interpreting the finite dual as a topological…

Rings and Algebras · Mathematics 2025-01-20 Manuel L. Reyes

The objective of this manuscript is to understand the structure of an invertible linear map on the space of real symmetric matrices $\mathcal{S}^n$ that leaves invariant the closed convex cones of copositive and completely positive matrices…

Functional Analysis · Mathematics 2023-03-07 Sachindranath Jayaraman , Vatsalkumar N. Mer

Recently, many structured tensors are defined and their properties are discussed in the literature. In this paper, we introduce a new class of structured tensors, called exceptionally regular tensor, which is relevant to the tensor…

Optimization and Control · Mathematics 2015-08-27 Yong Wang , Zheng-Hai Huang , Xue-Li Bai

This paper studies symmetric tensor decompositions. For symmetric tensors, there exist linear relations of recursive patterns among their entries. Such a relation can be represented by a polynomial, which is called a generating polynomial.…

Numerical Analysis · Mathematics 2015-10-06 Jiawang Nie

A symmetric tensor is a higher order generalization of a symmetric matrix. In this paper, we study various properties of symmetric tensors in relation to a decomposition into a sum of symmetric outer product of vectors. A rank-1 order-k…

Numerical Analysis · Mathematics 2008-09-02 Pierre Comon , Gene Golub , Lek-Heng Lim , Bernard Mourrain

Tensor network contraction is a powerful computational tool in quantum many-body physics, quantum information and quantum chemistry. The complexity of contracting a tensor network is thought to mainly depend on its entanglement properties,…

Quantum Physics · Physics 2025-12-11 Jiaqing Jiang , Jielun Chen , Norbert Schuch , Dominik Hangleiter

This paper systematically investigates the properties and characterization of interval B-tensors and interval double B-tensors. We propose verifiable necessary and sufficient conditions that allow for determining whether an entire interval…

Optimization and Control · Mathematics 2026-01-21 Li Ye , Yisheng Song

It is known that every complex square matrix with nonnegative determinant is the product of positive semi-definite matrices. There are characterizations of matrices that require two or five positive semi-definite matrices in the product.…

Functional Analysis · Mathematics 2015-09-29 Jianlian Cui , Chi-Kwong Li , Nung-Sing Sze

We define lower triangular tensors, and show that all diagonal entries of such a tensor are eigenvalues of that tensor. We then define lower triangular sub-symmetric tensors, and show that the number of independent entries of a lower…

Rings and Algebras · Mathematics 2024-12-24 Liqun Qi , Chunfeng Cui , Ziyan Luo

In this article, we introduce the class $B$-Nekrasov tensor in the context of tensor complementarity problem. We study some tensor theoretic properties. We show that the class of B-Nekrasov tensor contains the class of Nekrasov $Z$-tensor…

Optimization and Control · Mathematics 2022-09-30 R. Deb , A. K. Das

It is known that a linear system with a system matrix A constitutes a Hamiltonian system with a quadratic Hamiltonian if and only if A is a Hamiltonian matrix. This provides a straightforward method to verify whether a linear system is…

Systems and Control · Electrical Eng. & Systems 2025-03-28 Shaoxuan Cui , Guofeng Zhang , Hildeberto Jardon-Kojakhmetov , Ming Cao

An alternative, geometrical proof of a known theorem concerning the decomposition of positive maps of the matrix algebra $M_{2}(\mathbb{C})$ has been presented. The premise of the proof is the identification of positive maps with operators…

Mathematical Physics · Physics 2015-06-04 Marek Miller , Robert Olkiewicz

Balanced incomplete block designs (BIBDs) have wide applications in engineering, business and sciences. In this paper, for each (v, k, \lambda)-BIBD, we construct a strongly symmetric k-th order v-dimensional tensor. We call such a strongly…

Combinatorics · Mathematics 2015-08-12 Liqun Qi , Ziyan Luo

In this paper, we provide a complete mathematical theory for the entanglement of mixtures of Dicke states. These quantum states form an important subclass of bosonic states arising in the study of indistinguishable particles. We introduce a…

Quantum Physics · Physics 2026-02-18 Aabhas Gulati , Ion Nechita , Clément Pellegrini

We introduce the notion of a bicollapsible 2-complex. This allows us to generalize the hyperbolicity of one-relator groups with torsion to a broader class of groups with presentations whose relators are proper powers. We also prove that…

Group Theory · Mathematics 2020-02-10 Jonah Gaster , Daniel T. Wise

We investigate structural properties of the completely positive semidefinite cone $\mathcal{CS}_+^n$, consisting of all the $n \times n$ symmetric matrices that admit a Gram representation by positive semidefinite matrices of any size. This…

Optimization and Control · Mathematics 2015-02-11 Sabine Burgdorf , Monique Laurent , Teresa Piovesan

In this paper, a new class of positive semi-definite tensors, the MO tensor, is introduced. It is inspired by the structure of Moler matrix, a class of test matrices. Then we focus on two special cases in the MO-tensors: Sup-MO tensor and…

Spectral Theory · Mathematics 2018-09-26 Yi Xu , Jinjie Liu , Liqun Qi

In this paper we show that a split central simple algebra with quadratic pair which decomposes into a tensor product of quaternion algebras with involution and a quaternion algebra with quadratic pair is adjoint to a quadratic Pfister form.…

Rings and Algebras · Mathematics 2016-04-15 Karim Johannes Becher , Andrew Dolphin

The conullity of a curvature tensor is the codimension of its kernel. We consider the cases of conullity two in any dimension and conullity three in dimension four. We show that these conditions are compatible with non-negative sectional…

Differential Geometry · Mathematics 2021-12-01 Thomas G. Brooks

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
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