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In this survey paper we study parametric versions of writing a matrix in $SL_n (\mathbb{C})$ as a product of lower and upper unitriangular matrices in interchanging order as well as generalizations to other classical groups. We give an…

Complex Variables · Mathematics 2026-01-06 Gaofeng Huang , Frank Kutzschebauch

Matrix orthogonal Laurent polynomials in the unit circle and the theory of Toda-like integrable systems are connected using the Gauss--Borel factorization of two, left and a right, Cantero-Morales-Velazquez block moment matrices, which are…

Classical Analysis and ODEs · Mathematics 2014-08-26 Gerardo Ariznabarreta , Manuel Manas

We present a novel recursive algorithm for reducing a symmetric matrix to a triangular factorization which reveals the rank profile matrix. That is, the algorithm computes a factorization $\mathbf{P}^T\mathbf{A}\mathbf{P} =…

Numerical Analysis · Computer Science 2018-03-01 Jean-Guillaume Dumas , Clement Pernet

Macdonald polynomials are orthogonal polynomials associated to root systems, and in the type A case, the symmetric kind is a common generalization of Schur functions, Macdonald spherical functions, and Jack polynomials. We use the…

Combinatorics · Mathematics 2010-10-06 Martha Yip

We study the problem of decomposition (non-commutative factorization) of linear ordinary differential operators near an irregular singular point. The solution (given in terms of the Newton diagram and the respective characteristic numbers)…

Classical Analysis and ODEs · Mathematics 2018-05-08 Leanne Mezuman , Sergei Yakovenko

Snake graphs are a class of planar graphs that are important in the theory of cluster algebras. Indeed, the Laurent expansions of the cluster variables in cluster algebras from surfaces are given as weight generating functions for 1-dimer…

Combinatorics · Mathematics 2025-10-23 Gregg Musiker , Nicholas Ovenhouse , Ralf Schiffler , Sylvester W. Zhang

In this paper we study matrix valued orthogonal polynomials of one variable associated with a compact connected Gelfand pair (G,K) of rank one, as a generalization of earlier work by Koornwinder and subsequently by Koelink, van Pruijssen…

Representation Theory · Mathematics 2013-10-21 Gert Heckman , Maarten van Pruijssen

Consider the symmetric group $S_n$ acting as a reflection group on the polynomial ring $k[x_1, \ldots, x_n]$, where $k$ is a field such that Char$(k)$ does not divide $n!$. We use Higher Specht polynomials to construct matrix factorizations…

Commutative Algebra · Mathematics 2022-09-09 Eleonore Faber , Colin Ingalls , Simon May , Marco Talarico

In a classical case, orthogonal polynomial sequences are in such a way that the $ n $th polynomial has the exact degree $n$. Such sequences are complete and form a basis of the space for any arbitrary polynomial. In this paper, we introduce…

Mathematical Physics · Physics 2020-06-16 Mohammad Masjed-Jamei , Zahra Moalemi , Nasser Saad

Vector-valued Jack polynomials associated to the symmetric group ${\mathfrak S}_N$ are polynomials with multiplicities in an irreducible module of ${\mathfrak S}_N$ and which are simultaneous eigenfunctions of the Cherednik-Dunkl operators…

Combinatorics · Mathematics 2011-03-17 Charles F. Dunkl , Jean-Gabriel Luque

Orthogonality relations for Foulkes characters of full monomial groups are presented, along with three solutions to the problem of decomposing products of these characters, and new applications, including a product reformulation of a Markov…

Representation Theory · Mathematics 2021-08-11 Alexander R. Miller

In this paper we develop algorithms for orthogonal similarity transformations of skew-symmetric matrices to simpler forms. The first algorithm is similar to the algorithm for the block antitriangular factorization of symmetric matrices, but…

Numerical Analysis · Mathematics 2020-05-05 Sanja Singer

This paper proposes uni-orthogonal and bi-orthogonal nonnegative matrix factorization algorithms with robust convergence proofs. We design the algorithms based on the work of Lee and Seung [1], and derive the converged versions by utilizing…

Machine Learning · Computer Science 2011-03-17 Andri Mirzal

A randomized Gram-Schmidt algorithm is developed for orthonormalization of high-dimensional vectors or QR factorization. The proposed process can be less computationally expensive than the classical Gram-Schmidt process while being at least…

Numerical Analysis · Mathematics 2022-01-20 Oleg Balabanov , Laura Grigori

This paper studies an optimization problem on the sum of traces of matrix quadratic forms in $m$ semi-orthogonal matrices, which can be considered as a generalization of the synchronization of rotations. While the problem is nonconvex, the…

Optimization and Control · Mathematics 2021-10-13 Joong-Ho Won , Teng Zhang , Hua Zhou

In a recent paper, the authors introduced the notion of an alternating snake and a corresponding family of finite dimensional modules for the quantum affine algebra associated to $A_n$. We prove that under some restrictions, an alternating…

Quantum Algebra · Mathematics 2026-01-29 Matheus Brito , Vyjayanthi Chari

We prove that every holomorphic symplectic matrix can be factorized as a product of holomorphic unitriangular matrices with respect to the symplectic form $ \left[\begin{array}{ccc} 0 & L_n \\ -L_n & 0\end{array}\right]$ where $L$ is the $n…

Complex Variables · Mathematics 2025-07-28 Gaofeng Huang , Frank Kutzschebauch , Phan Quoc Bao Tran

Braid matrices $\hat{R}(\theta)$, corresponding to vector representations, are spectrally decomposed obtaining a ratio $f_{i}(\theta)/f_{i}(-\theta)$ for the coefficient of each projector $P_{i}$ appearing in the decomposition. This…

Quantum Algebra · Mathematics 2015-06-26 A. Chakrabarti

Assume that $\{a_{n};\,n\geq0\}$ is a sequence of positive numbers and $\sum a_{n}^{\,-1}<\infty$. Let $\alpha_{n}=ka_{n}$, $\beta_{n}=a_{n}+k^{2}a_{n-1}$ where $k\in(0,1)$ is a parameter, and let $\{P_{n}(x)\}$ be an orthonormal polynomial…

Mathematical Physics · Physics 2022-03-11 Pavel Stovicek

The speed of convergence of the R-linear GMRES is bounded in terms of a polynomial approximation problem on a finite subset of the spectrum. This result resembles the classical GMRES convergence estimate except that the matrix involved is…

Numerical Analysis · Mathematics 2011-12-15 Marko Huhtanen , Allan Perämäki
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