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Related papers: A Study on Nonnegative Tubal Matrices

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A valuable feature of the tubal tensor framework is that many familiar constructions from matrix algebra carry over to tensors, including SVD and notions of rank. Importantly, it has been shown that for a specific family of tubal products,…

Numerical Analysis · Mathematics 2026-04-21 Uria Mor

Bidiagonal matrices are widespread in numerical linear algebra, not least because of their use in the standard algorithm for computing the singular value decomposition and their appearance as LU factors of tridiagonal matrices. We show that…

Numerical Analysis · Mathematics 2023-11-14 Nicholas J. Higham

In this paper, we systemically introduce completely positive biquadratic (CPB) tensors and copositive biquadratic tensors. We show that all weakly CPB tensors are sum of squares tensors, the CPB tensor cone and the copositive biquadratic…

Rings and Algebras · Mathematics 2025-10-14 Liqun Qi , Chunfeng Cui , Haibin Chen , Yi Xu

In this article the well known "Perron-Frobenius theory" is investigated involving the higher rank numerical range $\Lambda_{k}(A)$ of an irreducible and entrywise nonnegative matrix $A$ and extending the notion of elements of maximum…

Rings and Algebras · Mathematics 2011-04-08 Aikaterini Aretaki , John Maroulas

A matrix is called totally nonnegative (TN) if all its minors are nonnegative, and totally positive (TP) if all its minors are positive. Multiplying a vector by a TN matrix does not increase the number of sign variations in the vector. In a…

Dynamical Systems · Mathematics 2018-10-09 Michael Margaliot , Eduardo D. Sontag

Using matrix function theory, Perron-Frobenius theory, combinatorial matrix theory, and elementary number theory, we characterize, classify, and describe in terms of the Jordan canonical form the matrix pth-roots of imprimitive irreducible…

Rings and Algebras · Mathematics 2015-06-12 Judith J. McDonald , Pietro Paparella

Eventually positive matrices are real matrices whose powers become and remain strictly positive. As such, eventually positive matrices are a fortiori matrix roots of positive matrices, which motivates us to study the matrix roots of…

Rings and Algebras · Mathematics 2015-06-04 Judith J. McDonald , Pietro Paparella , Michael J. Tsatsomeros

In this paper, we introduce a new class of nonnegative tensors --- strictly nonnegative tensors. A weakly irreducible nonnegative tensor is a strictly nonnegative tensor but not vice versa. We show that the spectral radius of a strictly…

Numerical Analysis · Mathematics 2015-03-13 Shenglong Hu , Zheng-Hai Huang , Liqun Qi

This paper establishes that every positive-definite matrix can be written as a positive linear combination of outer products of integer-valued vectors whose entries are bounded by the geometric mean of the condition number and the dimension…

Metric Geometry · Mathematics 2015-08-05 Joel A. Tropp

We prove a noncommutative Bader-Shalom factor theorem for lattices with dense projections in product groups. As an application of this result and our previous works, we obtain a noncommutative Margulis factor theorem for all irreducible…

Operator Algebras · Mathematics 2025-07-17 Rémi Boutonnet , Cyril Houdayer

The simple product formulae for derivatives of scalar functions raised to different powers are generalized for functions which take values in the set of symmetric positive definite matrices. These formulae are fundamental in derivation of…

Analysis of PDEs · Mathematics 2025-07-24 Michal Bathory

We develop the Perron-Frobenius theory using a variational approach and extend it to a set of arbitrary matrices, including those that are neither irreducible nor essentially positive, and non-preserved cones. We introduce a new concept…

Analysis of PDEs · Mathematics 2024-07-19 Yavdat Il'yasov , Nurmukhamet Valeev

Hermitian positive definite, totally positive, and nonsingular M-matrices enjoy many common properties, in particular: (A) positivity of all principal minors, (B) weak sign symmetry, (C) eigenvalue monotonicity, (D) positive stability. The…

Rings and Algebras · Mathematics 2007-05-23 Olga Holtz

In this paper, we mainly focus on how to generalize some conclusions from nonnegative irreducible tensors to nonnegative weakly irreducible tensors. To do so, a basic and important lemma is proven using new tools. First, we give the…

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

We obtain several rigidity results regarding tensor product decompositions of factors. First, we show that any full factor with separable predual has at most countably many tensor product decompositions up to stable unitary conjugacy. We…

Operator Algebras · Mathematics 2019-05-27 Yusuke Isono , Amine Marrakchi

The M-matrix is an important concept in matrix theory, and has many applications. Recently, this concept has been extended to higher order tensors [18]. In this paper, we establish some important properties of M-tensors and nonsingular…

Numerical Analysis · Mathematics 2013-07-30 Weiyang Ding , Liqun Qi , Yimin Wei

We study the tensor product $V$ of any number of "elementary" irreducible modules over the Yangian of the general linear Lie algebra. An elementary module is determined by a skew Young diagram and by a complex parameter, and contains a…

q-alg · Mathematics 2024-05-24 Maxim Nazarov , Vitaly Tarasov

In this paper, we extend some classes of structured matrices to higher order tensors. We discuss their relationships with positive semi-definite tensors and some other structured tensors. We show that every principal sub-tensor of such a…

Spectral Theory · Mathematics 2014-06-24 Yisheng Song , Liqun Qi

A matrix $A$ is totally positive (or non-negative) of order $k$, denoted $TP_k$ (or $TN_k$), if all minors of size $\leq k$ are positive (or non-negative). It is well-known that such matrices are characterized by the variation diminishing…

Rings and Algebras · Mathematics 2021-08-24 Projesh Nath Choudhury , M. Rajesh Kannan , Apoorva Khare

The tensor-tensor product (t-product) [M. E. Kilmer and C. D. Martin, 2011] is a natural generalization of matrix multiplication. Based on t-product, many operations on matrix can be extended to tensor cases, including tensor SVD, tensor…

Machine Learning · Statistics 2018-06-21 Canyi Lu