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The classical orthogonal polynomials (Hermite, Laguerre and Jacobi) are involved in a vast number of applications in physics and engineering. When large degrees $n$ are needed, the use of recursion to compute the polynomials is not a good…

Classical Analysis and ODEs · Mathematics 2020-04-13 A. Gil , J. Segura , N. M. Temme

In continuation to our recent work on noncommutative polynomial factorization, we consider the factorization problem for matrices of polynomials and show the following results. (1) Given as input a full rank $d\times d$ matrix $M$ whose…

Computational Complexity · Computer Science 2022-04-01 V. Arvind , Pushkar S. Joglekar

We show that the zeros of consecutive orthogonal polynomials $p_n$ and $p_{n-1}$ are linearly connected by a doubly stochastic matrix for which the entries are explicitly computed in terms of Christoffel numbers. We give similar results for…

Classical Analysis and ODEs · Mathematics 2017-08-01 Walter Van Assche

The notion of Ehrhart tensor polynomials, a natural generalization of the Ehrhart polynomial of a lattice polytope, was recently introduced by Ludwig and Silverstein. We initiate a study of their coefficients. In the vector and matrix…

Combinatorics · Mathematics 2017-06-07 Sören Berg , Katharina Jochemko , Laura Silverstein

The Chebyshev expansion offers a numerically efficient and easy-implement algorithm for evaluating dynamic correlation functions using matrix product states (MPS). In this approach, each recursively generated Chebyshev vector is…

Strongly Correlated Electrons · Physics 2018-02-14 H. D. Xie , R. Z. Huang , X. J. Han , X. Yan , H. H. Zhao , Z. Y. Xie , H. J. Liao , T. Xiang

We review the properties of six families of orthogonal polynomials that form the main bulk of the collection called the Askey--Wilson scheme of polynomials. We give connection coefficients between them as well as the so-called linearization…

Classical Analysis and ODEs · Mathematics 2022-03-18 Paweł J. Szabłowski

This paper presents a model of asymmetric bifurcating autoregressive process with random coefficients. We couple this model with a Galton Watson tree to take into account possibly missing observations. We propose least-squares estimators…

Probability · Mathematics 2013-04-18 Benoîte de Saporta , Anne Gégout-Petit , Laurence Marsalle

It is well known that the classical families of orthogonal polynomials are characterized as eigenfunctions of a second order linear differential/difference operator. In this paper we present a study of classical orthogonal polynomials in a…

Classical Analysis and ODEs · Mathematics 2020-06-30 R. S. Costas-Santos , F. Marcellan

We show how to construct linearizations of matrix polynomials $z\mathbf{a}(z)\mathbf{d}_0 + \mathbf{c}_0$, $\mathbf{a}(z)\mathbf{b}(z)$, $\mathbf{a}(z) + \mathbf{b}(z)$ (when $\mathrm{deg}\left(\mathbf{b}(z)\right) <…

Numerical Analysis · Mathematics 2018-05-30 Eunice Y. S. Chan , Robert M. Corless , Laureano Gonzalez-Vega , J. Rafael Sendra , Juana Sendra

The complexity measures of the Cr\'amer-Rao, Fisher-Shannon and LMC (L\'opez-Ruiz, Mancini and Calvet) types of the Rakhmanov probability density $\rho_n(x)=\omega(x) p_n^2(x)$ of the polynomials $p_n(x)$ orthogonal with respect to the…

Mathematical Physics · Physics 2015-03-18 J. S. Dehesa , A. Guerrero , P. Sánchez-Moreno

We introduce and develop a theory of orthogonality with respect to Sobolev inner products on the real line for sequences of functions with a tridiagonal, skew-Hermitian differentiation matrix. While a theory of such L2-orthogonal systems is…

Classical Analysis and ODEs · Mathematics 2022-06-16 Arieh Iserles , Marcus Webb

Poisson thinning is an elementary result in probability, which is of great importance in the theory of Poisson point processes. In this article, we record a couple of characterization results on Poisson thinning. We also consider several…

Probability · Mathematics 2022-09-07 Soumendu Sundar Mukherjee

In this paper we consider the classical problem of computing linear extensions of a given poset which is well known to be a difficult problem. However, in our setting the elements of the poset are multivariate polynomials, and only a small…

Combinatorics · Mathematics 2021-03-05 Shane Kepley , Konstantin Mischaikow , Lun Zhang

We study a q-generalization of the classical Laguerre/Hermite orthogonal polynomials. Explicit results include: the recursive coefficients, matrix elements of generators for the Heisenberg algebra, and the Hankel determinants. The power of…

Exactly Solvable and Integrable Systems · Physics 2017-12-18 Chuan-Tsung Chan , Hsiao-Fan Liu

In this paper we obtain the formal asymptotic expansion of the logarithms $\ln p_s(\alpha)$ of $p_s(\alpha)$, which are canonical continuations of polynomials of binomial type $p_n(\alpha)$. Our approach is based on linear methods which do…

Number Theory · Mathematics 2026-03-03 Danil Krotkov

We present two new algorithms for the computation of the q-integer linear decomposition of a multivariate polynomial. Such a decomposition is essential for the treatment of q-hypergeometric symbolic summation via creative telescoping and…

Symbolic Computation · Computer Science 2021-02-15 Mark Giesbrecht , Hui Huang , George Labahn , Eugene Zima

The Al-Salam-Chihara polynomials are an important family of orthogonal polynomials in one variable $x$ depending on 3 parameters $\alpha$, $\beta$ and $q$. They are closely connected to a model from statistical mechanics called the…

Combinatorics · Mathematics 2020-02-06 Donghyun Kim

We review recent results on necessary and sufficient conditions for measures on $\mathbb{R}$ and $\partial\mathbb{D}$ to yield exponential decay of the recursion coefficients of the corresponding orthogonal polynomials. We include results…

Spectral Theory · Mathematics 2007-05-23 Barry Simon

We investigate the problem of recovering coefficients in scalar nonlinear ordinary differential equations that can be exactly linearized. This contribution builds upon prior work by Lyakhov, Gerdt, and Michels, which focused on obtaining a…

Symbolic Computation · Computer Science 2024-04-03 Dmitry A. Lyakhov , Dominik L. Michels

We consider positive, integral-preserving linear operators acting on $L^1$ space, known as stochastic operators or Markov operators. We show that, on finite-dimensional spaces, any stochastic operator can be approximated by a sequence of…

Functional Analysis · Mathematics 2019-06-13 Shirin Moein , Rajesh Pereira , Sarah Plosker
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