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We study $k$-positive linear maps on matrix algebras and address two problems, (i) characterizations of $k$-positivity and (ii) generation of non-decomposable $k$-positive maps. On the characterization side, we derive optimization-based…

Quantum Physics · Physics 2026-01-08 Frederik vom Ende , Sumeet Khatri , Sergey Denisov

This paper considers a restriction to non-negative matrix factorization in which at least one matrix factor is stochastic. That is, the elements of the matrix factors are non-negative and the columns of one matrix factor sum to 1. This…

Machine Learning · Statistics 2016-09-20 Christopher Adams

We investigate compressibility of the dimension of positive semidefinite matrices while approximately preserving their pairwise inner products. This can either be regarded as compression of positive semidefinite factorizations of…

Quantum Physics · Physics 2016-05-06 Cyril J. Stark , Aram W. Harrow

Using elementary linear algebra, we develop a technique that leads to solutions of two widely known problems on nonnegative matrices. First, we give a short proof of the result by Vavasis stating that the nonnegative rank of a matrix is…

Combinatorics · Mathematics 2018-01-01 Yaroslav Shitov

The zero modes of the chiral SU(n) WZNW model give rise to an intertwining quantum matrix algebra A generated by an n x n matrix a=(a^i_\alpha) (with noncommuting entries) and by rational functions of n commuting elements q^{p_i}. We study…

High Energy Physics - Theory · Physics 2008-11-26 P. Furlan , L. K. Hadjiivanov , A. P. Isaev , O. V. Ogievetsky , P. N. Pyatov , I. T. Todorov

We show that for any permutation $\pi$ there exists an integer $k_{\pi}$ such that every permutation avoiding $\pi$ as a pattern is a product of at most $k_{\pi}$ separable permutations. In other words, every strict class $\mathcal C$ of…

Combinatorics · Mathematics 2023-08-08 Édouard Bonnet , Romain Bourneuf , Colin Geniet , Stéphan Thomassé

Algebras generated by strictly positive matrices are described up to similarity, including the commutative, simple, and semisimple cases. We provide sufficient conditions for some block diagonal matrix algebras to be generated by a set of…

Combinatorics · Mathematics 2020-07-29 N. A. Kolegov

Recently, in [Bor4], Bor proved a main theorem dealing with $|\bar{N}, p_{n}|_{k}$ summability factors of infinite series. In the present paper, we have generalized that theorem for $|A, p_{n}|_{k}$ summability method by taking normal…

Functional Analysis · Mathematics 2018-02-28 Sebnem Yildiz

We study the computational complexity of constrained nonnegative Gram feasibility. Given a partially specified symmetric matrix together with affine relations among selected entries, the problem asks whether there exists a nonnegative…

Optimization and Control · Mathematics 2026-03-23 Angshul Majumdar

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

The nonnegative matrix factorization is a widely used, flexible matrix decomposition, finding applications in biology, image and signal processing and information retrieval, among other areas. Here we present a related matrix factorization.…

Machine Learning · Statistics 2017-12-12 David W Dreisigmeyer

We consider the problem of finding the best nonnegative rank-2 approximation of an arbitrary nonnegative matrix. We first revisit the theory, including an explicit parametrization of all possible nonnegative factorizations of a nonnegative…

Numerical Analysis · Mathematics 2025-07-29 Etna Lindy , Vanni Noferini , Paul Van Dooren

We investigate the generalized moment membership problem for matrices, a formulation equivalent to Skolem's problem for linear recurrence sequences. We show decidability for orthogonal, unitary, and real eigenvalue matrices, and…

Algebraic Geometry · Mathematics 2025-05-28 Gemma De les Coves , Joshua Graf , Andreas Klingler , Tim Netzer

Let X be a finite set of points in R^n. A polynomial p nonnegative on X can be written as a sum of squares of rational functions modulo the vanishing ideal I(X). From the point of view of applications, such as polynomial optimization, we…

Algebraic Geometry · Mathematics 2014-02-19 Grigoriy Blekherman , João Gouveia , James Pfeiffer

In our previous work (math/0008128), we studied the set Quant(K) of all universal quantization functors of Lie bialgebras over a field K of characteristic zero, compatible with duals and doubles. We showed that Quant(K) is canonically…

Quantum Algebra · Mathematics 2007-05-23 B. Enriquez

First some old as well as new results about P.I. algebras, Ore extensions, and degrees are presented. Then quantized $n\times r$ matrices as well as quantized factor algebras of $M_q(n)$ are analyzed. The latter are the quantized function…

Quantum Algebra · Mathematics 2007-05-23 Hans Plesner Jakobsen , Søren Jøndrup

In light of recent data science trends, new interest has fallen in alternative matrix factorizations. By this, we mean various ways of factorizing particular data matrices so that the factors have special properties and reveal insights into…

Optimization and Control · Mathematics 2023-02-21 Andries Steenkamp

We prove that if $k$ is a positive integer then for every finite field $\mathbb{F}$ of cardinality $q\neq 2$ and for every positive integer $n$ such that $q^n>(k-1)^4$, every $n\times n$ matrix over $\mathbb{F}$ can be expressed as a sum of…

Rings and Algebras · Mathematics 2025-11-13 Simion Breaz

It is proved that each of compact linear groups of one special type admits a semialgebraic continuous factorization map onto a real vector space.

Algebraic Geometry · Mathematics 2015-01-13 O. G. Styrt

Manifold regularization methods for matrix factorization rely on the cluster assumption, whereby the neighborhood structure of data in the input space is preserved in the factorization space. We argue that using the k-neighborhoods of all…

Machine Learning · Computer Science 2020-10-21 Priya Mani , Carlotta Domeniconi , Igor Griva
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