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Related papers: Explicit Inversions of Certain Matrices I

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In this paper, we present some applications of quaternions and octonions. We present the real matrix representations for complex octonions and some of their properties which can be used in computations where these elements are involved.…

Rings and Algebras · Mathematics 2017-12-27 Cristina Flaut

In this paper we consider a transformation $L_a$ of sequences of complex numbers. We find the inverse transformation of $L_a$ as well as the inverse of a related transformation $\tilde{L}_a$. We explore a connection to the binomial…

Combinatorics · Mathematics 2015-12-29 Ilia D. Mishev

The matrix inversion is an interesting topic in algebra mathematics. However, to determine an inverse matrix from a given matrix is required many computation tools and time resource if the size of matrix is huge. In this paper, we have…

Discrete Mathematics · Computer Science 2017-08-28 Thuan Nguyen

We consider a fast, data-sparse directional method to realize matrix-vector products related to point evaluations of the Helmholtz kernel. The method is based on a hierarchical partitioning of the point sets and the matrix. The considered…

Numerical Analysis · Mathematics 2021-01-08 Günther Of , Raphael Watschinger

Starting from a doubly infinite sequence of complex numbers, the aim of this paper is to extend certain Markov inequalities for the determinant of Hankel matrices and the zeros of the corresponding orthogonal polynomials on the real line…

Classical Analysis and ODEs · Mathematics 2024-06-12 K. Castillo , A. Suzuki

Using Dunkl operators, we introduce a continuous family of canonical invariants of finite reflection groups. We verify that the elementary canonical invariants of the symmetric group are deformations of the elementary symmetric polynomials.…

Representation Theory · Mathematics 2009-06-03 Arkady Berenstein , Yurii Burman

We examine a class of embeddings based on structured random matrices with orthogonal rows which can be applied in many machine learning applications including dimensionality reduction and kernel approximation. For both the…

Machine Learning · Statistics 2018-09-05 Krzysztof Choromanski , Mark Rowland , Adrian Weller

We compute correlation functions of inverse powers and ratios of characteristic polynomials for random matrix models with complex eigenvalues. Compact expressions are given in terms of orthogonal polynomials in the complex plane as well as…

Mathematical Physics · Physics 2011-07-19 G. Akemann , A. Pottier

We investigate a series of learning kernel problems with polynomial combinations of base kernels, which will help us solve regression and classification problems. We also perform some numerical experiments of polynomial kernels with…

Machine Learning · Computer Science 2017-12-27 Chen Li , Luca Venturi , Ruitu Xu

Let $d\nu$ be a measure in $\mathbb{R}^d$ obtained from adding a set of mass points to another measure $d\mu$. Orthogonal polynomials in several variables associated with $d\nu$ can be explicitly expressed in terms of orthogonal polynomials…

Classical Analysis and ODEs · Mathematics 2009-11-17 A. M. Delgado , L. Fernandez , T. E. Perez , M. A. Pinar , Y. Xu

In this paper, we developed new numeric and symbolic algorithms to find the inverse of any nonsingular heptadiagonal matrix. Symbolic algorithm will not break and it is without setting any restrictive conditions. The computational cost of…

Numerical Analysis · Mathematics 2014-12-19 A. A. Karawia

Kernel matrices are a key quantity in kernel-based approximation, and important properties such as stability and algorithmic convergence can be analyzed with their help. In this work we refine a multivariate Ingham-type theorem, which is…

Numerical Analysis · Mathematics 2025-07-28 Tizan Wenzel , Armin Iske

For a two-parameter family of lower triangular matrices with entries involving Jacobi polynomials an explicit inverse is given, with entries involving a sum of two Jacobi polynomials. The formula simplifies in the Gegenbauer case and then…

Classical Analysis and ODEs · Mathematics 2015-03-25 Leandro Cagliero , Tom H. Koornwinder

In this paper, we provide a local method to find compositional inverses of all PPs, some new PPs and their compositional inverses are given.

Number Theory · Mathematics 2022-11-21 Pingzhi Yuan

In this paper, we introduce new representation and characterization of the weighted core inverse of matrices. Several properties of these inverses and their interconnections with other generalized inverses are also explored. Through…

Numerical Analysis · Mathematics 2023-09-27 Ratikanta Behera , Jajati Keshari Sahoo , Ram N. Mohapatra

We present the explicit inverse of a class of symmetric tridiagonal matrices which is almost Toeplitz, except that the first and last diagonal elements are different from the rest. This class of tridiagonal matrices are of special interest…

Numerical Analysis · Mathematics 2019-08-27 Linda S. L. Tan

We develop a method to construct algebraic invariants for hypermatrices. We then construct hyperdeterminants and exhibit a generalization of the Cayley-Hamilton theorem for hypermatrices.

Mathematical Physics · Physics 2007-05-23 Victor Tapia

Given a permutation polynomial of a large finite field, finding its inverse is usually a hard problem. Based on a piecewise interpolation formula, we construct the inverses of cyclotomic mapping permutation polynomials of arbitrary finite…

Number Theory · Mathematics 2018-12-20 Yanbin Zheng , Yuyin Yu , Yuanping Zhang , Dingyi Pei

We give integral representations for multiple Hermite and multiple Hermite polynomials of both type I and II. We also show how these are connected with double integral representations of certain kernels from random matrix theory.

Classical Analysis and ODEs · Mathematics 2010-07-29 Pavel M. Bleher , Arno B. J. Kuijlaars

In this article we show and implement a simple and effcient method to strictly locate eigenvectors and eigenvalues of a given matrix, based on the modified cone condition. As a consequence we can also effectively localize zeros of complex…

Numerical Analysis · Computer Science 2012-10-31 Łukasz Struski , Jacek Tabor