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Hadamard matrices are square $n\times n$ matrices whose entries are ones and minus ones and whose rows are orthogonal to each other with respect to the standard scalar product in $\Bbb R^n$. Each Hadamard matrix can be transformed to a…

Combinatorics · Mathematics 2021-05-05 Ruslan Sharipov

We give a geometric method for determining the cohomology groups of a polyhedral product under suitable freeness conditions or with coefficients taken in a field. This is done by considering first the special case for which the pairs of…

Algebraic Topology · Mathematics 2023-05-24 A. Bahri , M. Bendersky , F. R. Cohen , S. Gitler

We identify and analyse obstructions to factorisation of integer matrices into products $N^T N$ or $N^2$ of matrices with rational or integer entries. The obstructions arise as quadratic forms with integer coefficients and raise the…

Number Theory · Mathematics 2021-03-09 Nicholas J. Higham , Matthew C. Lettington , Karl Michael Schmidt

Euclidean distance matrices corresponding to an arithmetic progression have rich spectral and structural properties. We exploit those properties to develop completely positive factorizations of translations of those matrices. We show that…

Spectral Theory · Mathematics 2023-08-09 Damjana Kokol Bukovšek , Thomas Laffey , Helena Šmigoc

This work introduces a new class of symmetric matrix structures, called harmonic structures, which enable the generation of all possible directed transitions $(x_i, x_{i+1})$ over a set of $n$ symbols, without internal repetitions. Unlike…

Combinatorics · Mathematics 2025-06-23 Nicolás Agustín Martínez

We consider the factorization of a rectangular matrix $X $ into a positive linear combination of rank-one factors of the form $u v^\top$, where $u$ and $v$ belongs to certain sets $\mathcal{U}$ and $\mathcal{V}$, that may encode specific…

Machine Learning · Computer Science 2013-09-13 Francis Bach

We study unital operator spaces endowed with a partially defined product. We give a matrix-norm characterization of such products that allows for a representation theorem where the partial product is realized as composition of operators on…

Operator Algebras · Mathematics 2025-11-07 Adam Dor-On , Travis B. Russell

This series of papers is devoted to an open-ended project aimed at the solution of Hilbert's sixth problem (concerning joint axiomatization of physics and probability theory) proposed to be constructed in the framework of an all-embracing…

Mathematical Physics · Physics 2010-12-13 Tulsi Dass

We show that, for a certain class of partitions and an even number of variables of which half are reciprocals of the other half, Schur polynomials can be factorized into products of odd and even orthogonal characters. We also obtain related…

Combinatorics · Mathematics 2019-02-07 Arvind Ayyer , Roger E. Behrend

This work provides a quaternioinc reprsentation for real symplectic matrices in dimension four, analogous to the pair of unit quaternions representation for special orthogonal matrices. In the process of finding formulae for this…

Mathematical Physics · Physics 2008-01-30 Yassmin Ansari , Viswanath Ramakrishna

The randomised Horn problem, in both its additive and multiplicative version, has recently drawn increasing interest. Especially, closed analytical results have been found for the rank-1 perturbation of sums of Hermitian matrices and…

Mathematical Physics · Physics 2021-11-11 Jiyuan Zhang , Mario Kieburg , Peter J. Forrester

We first summarize joint work on several preliminary canonical Lambert series factorization theorems. Within this article we establish new analogs to these original factorization theorems which characterize two specific primary cases of the…

Number Theory · Mathematics 2017-12-05 Maxie D. Schmidt

We study matrix integrals of the form $$\int_{\mathrm{USp(2n)}}\prod_{j=1}^k\mathrm{tr}(U^j)^{a_j}\mathrm d U,$$ where $a_1,\ldots,a_r$ are natural numbers and integration is with respect to the Haar probability measure. We obtain a compact…

Probability · Mathematics 2024-09-10 Alexei Entin , Noam Pirani

We develop a holomorphic equivalence between on one hand the space of pairs (stable bundle, flat connection on the bundle) and the "sheaf of holomorphic connections" (the sheaf of splittings of the one-jet sequence) for the determinant…

Algebraic Geometry · Mathematics 2020-10-15 Indranil Biswas , Jacques Hurtubise

Let $V$ be a vector space with countable dimension over a field, and let $u$ be an endomorphism of it which is locally finite, i.e. $(u^k(x))_{k \geq 0}$ is linearly dependent for all $x$ in $V$. We give several necessary and sufficient…

Rings and Algebras · Mathematics 2021-07-12 Clément de Seguins Pazzis

We consider the problem of convergence to zero of matrix products $A_{n}B_{n}\cdots A_{1}B_{1}$ with factors from two sets of matrices, $A_{i}\in\mathscr{A}$ and $B_{i}\in\mathscr{B}$, due to a suitable choice of matrices $\{B_{i}\}$. It is…

Optimization and Control · Mathematics 2025-10-07 Victor Kozyakin

Physicists showed that the generating function of orbifold elliptic genera of symmetric orbifolds can be written as an infinite product. We show that there exists a geometric factorization on space level behind this infinite product formula…

Algebraic Topology · Mathematics 2014-10-01 Hirotaka Tamanoi

A novel method to obtain parametrizations of complex inverse orthogonal matrices is provided. These matrices are natural generalizations of complex Hadamard matrices which depend on non zero complex parameters. The method we use is via…

Mathematical Physics · Physics 2010-09-22 Petre Dita

We consider the numerical integration of the matrix Hill's equation. Parametric resonances can appear and this property is of great interest in many different physical applications. Usually, the Hill's equations originate from a Hamiltonian…

Numerical Analysis · Mathematics 2015-12-09 Philipp Bader , Sergio Blanes , Enrique Ponsoda , Muaz Seydaoğlu

Matrix Factorization plays an important role in machine learning such as Non-negative Matrix Factorization, Principal Component Analysis, Dictionary Learning, etc. However, most of the studies aim to minimize the loss by measuring the…

Machine Learning · Computer Science 2021-11-30 Kai Liu