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We prove that the only entrywise transforms of rectangular matrices which preserve total positivity or total non-negativity are either constant or linear. This follows from an extended classification of preservers of these two properties…

Functional Analysis · Mathematics 2020-06-25 Alexander Belton , Dominique Guillot , Apoorva Khare , Mihai Putinar

The balanced tensor product M (x)_A N of two modules over an algebra A is the vector space corepresenting A-balanced bilinear maps out of the product M x N. The balanced tensor product M [x]_C N of two module categories over a monoidal…

Quantum Algebra · Mathematics 2019-07-17 Christopher L. Douglas , Christopher Schommer-Pries , Noah Snyder

It has recently been shown (Burer, Math. Program Ser. A 120:479-495, 2009) that a large class of NP-hard nonconvex quadratic programming problems can be modeled as so called completely positive programming problems, which are convex but…

Optimization and Control · Mathematics 2012-11-26 Chuan-Hao Guo , Yan-Qin Bai , Li-Ping Tang

We exhibit a lower-triangular matrix of polynomials $T(a,c,d,e,f,g)$ in six indeterminates that appears empirically to be coefficientwise totally positive, and which includes as a special case the Eulerian triangle. We prove the…

Combinatorics · Mathematics 2021-12-09 Xi Chen , Bishal Deb , Alexander Dyachenko , Tomack Gilmore , Alan D. Sokal

Let A and B be bounded operators on a Banach lattice E such that the commutator C=AB-BA and the product BA are positive operators. If the product AB is a power-compact operator, then C is a quasi-nilpotent operator having a triangularizing…

Functional Analysis · Mathematics 2013-03-21 Roman Drnovšek

A nonnegative tensor has nonnegative rank at most 2 if and only if it is supermodular and has flattening rank at most 2. We prove this result, then explore the semialgebraic geometry of the general Markov model on phylogenetic trees with…

Algebraic Geometry · Mathematics 2013-05-03 Elizabeth S. Allman , John A. Rhodes , Bernd Sturmfels , Piotr Zwiernik

The semi-tensor product (STP) of matrices is extended to the STP of hypermatrices. Some basic properties of the STP of matrices are extended to the STP of hypermatrices. The hyperdeterminant of hypersquares is introduced. Some algebraic and…

Systems and Control · Electrical Eng. & Systems 2023-03-14 Daizhan Cheng , Xiao Zhang , Zhengping Ji

The T-product for third-order tensors has been used extensively in the literature. In this paper, we first introduce the first-order and second-order T-derivatives for the multi-vector real-valued function with the tensor T-product; and…

Optimization and Control · Mathematics 2020-06-22 Meng-Meng Zheng , Zheng-Hai Huang , Yong Wang

Positive curvature and bosons Compact positive curvature Riemannian manifolds M with symmetry group G allow Conner-Kobayashi reductions M to N, where N is the fixed point set of the symmetry G. The set N is a union of smaller-dimensional…

Mathematical Physics · Physics 2020-06-30 Oliver Knill

Tensor products of convex cones have recently come up in different areas, ranging from functional analysis and operator theory to approximation theory and theoretical physics. However, most of the existing literature focuses either on…

Functional Analysis · Mathematics 2022-12-08 Josse van Dobben de Bruyn

For a proper cone $K$ and its dual cone $K^*$ in $\mathbb R^n$, the complementarity set of $K$ is defined as ${\mathbb C}(K)=\{(x,y): x\in K,\; y\in K^*,\, x^\top y=0\}$. It is known that ${\mathbb C}(K)$ is an $n$-dimensional manifold in…

Optimization and Control · Mathematics 2025-02-06 O. I. Kostyukova

We prove the total positivity of the Narayana triangles of type $A$ and type $B$, and thus affirmatively confirm a conjecture of Chen, Liang and Wang and a conjecture of Pan and Zeng. We also prove the strict total positivity of the…

Combinatorics · Mathematics 2017-02-28 Yi Wang , Arthur L. B. Yang

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

We introduce the notion of one-sided mapping cones of positive linear maps between matrix algebras. These are convex cones of maps that are invariant under compositions by completely positive maps from either the left or right side. The…

Operator Algebras · Mathematics 2022-11-17 Mark Girard , Seung-Hyeok Kye , Erling Størmer

In this paper we prove that the cone $\PPD$ of positive, positive definite, discrete and strong almost periodic measures has an interesting property: given any positive and positive definite measure $\mu$ smaller than some measure in…

Mathematical Physics · Physics 2013-03-08 Nicolae Strungaru

We describe a simple, black-box compression format for tensors with a multiscale structure. By representing the tensor as a sum of compressed tensors defined on increasingly coarse grids, we capture low-rank structures on each grid-scale,…

Numerical Analysis · Mathematics 2020-08-18 Oscar Mickelin , Sertac Karaman

In this paper, the canonical polyadic (CP) decomposition of tensors that corresponds to matrix multiplications is studied. Finding the rank of these tensors and computing the decompositions is a fundamental problem of algebraic complexity…

Computational Complexity · Computer Science 2021-04-13 Petr Tichavsky

It is well-known that the tensor product of two bialgebras constitutes the binary product in the category of cocommutative bialgebras and morphisms of bialgebras between them. In this paper, we extend this result to triangular bialgebras…

Quantum Algebra · Mathematics 2026-05-27 Alessandro Ardizzoni , Andrea Sciandra

In this paper we provide two characterizations of the maximal tensor product structure for the category of operator systems. The first one is via the schur tensor product; the second one employs the idea of the completely positive…

Operator Algebras · Mathematics 2015-03-25 Wai Hin Ng

The Canonical Polyadic decomposition (CPD) is a convenient and intuitive tool for tensor factorization; however, for higher-order tensors, it often exhibits high computational cost and permutation of tensor entries, these undesirable…

Numerical Analysis · Computer Science 2018-09-05 Anh-Huy Phan , Andrzej Cichocki , Ivan Oseledets , Salman Ahmadi Asl , Giuseppe Calvi , Danilo Mandic