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We study approximation properties of weighted $\mathrm{L}^2$-orthogonal projectors onto spaces of polynomials of bounded degree in the Euclidean unit ball, where the weight is of the reflection-invariant form $(1-\lVert x \rVert^2)^\alpha…

Classical Analysis and ODEs · Mathematics 2020-11-05 Gonzalo A. Benavides , Leonardo E. Figueroa

We consider quasi-interpolation with a main application in radial basis function approximations and compression in this article. Constructing and using these quasi-interpolants, we consider wavelet and compression-type approximations from…

Numerical Analysis · Mathematics 2024-07-09 Martin Buhmann , Feng Dai

A hypergeometric type equation satisfying certain conditions defines either a finite or an infinite system of orthogonal polynomials. We present in a unified and explicit way all these systems of orthogonal polynomials, the associated…

Quantum Physics · Physics 2009-11-10 Nicolae Cotfas

Equivalence between algebraic equations of motion may be detected by using a $p$-adic method, methods using factorization and linear algebra, or by systematic computer search of suitable Tschirnhausen transformations. Here, we show standard…

Chaotic Dynamics · Physics 2018-10-05 Owen J. Brison , Jason A. C. Gallas

We consider orthogonal polynomials with respect to the weight $|z^2+a^2|^{cN}e^{-N|z|^2}$ in the whole complex plane. We obtain strong asymptotics and the limiting normalized zero counting measure (mother body) of the orthogonal polynomials…

Classical Analysis and ODEs · Mathematics 2026-03-24 Mario Kieburg , Arno B. J. Kuijlaars , Sampad Lahiry

A lemma of Micchelli's, concerning radial polynomials and weighted sums of point evaluations, is shown to hold for arbitrary linear functionals, as is Schaback's more recent extension of this lemma and Schaback's result concerning…

Numerical Analysis · Mathematics 2025-10-20 C. de Boor

Multiple orthogonal polynomials with respect to two weights on the step-line are considered. A connection between different dual spectral matrices, one banded (recursion matrix) and one Hessenberg, respectively, and the Gauss-Borel…

Classical Analysis and ODEs · Mathematics 2022-10-17 Amilcar Branquinho , Ana Foulquié-Moreno , Manuel Mañas

For a series of Markov processes we prove stochastic duality relations with duality functions given by orthogonal polynomials. This means that expectations with respect to the original process (which evolves the variable of the orthogonal…

Probability · Mathematics 2017-02-01 Chiara Franceschini , Cristian Giardinà

The Riemann-Hilbert problems for multiple orthogonal polynomials of types I and II are used to derive string equations associated to pairs of Lax-Orlov operators. A method for determining the quasiclassical limit of string equations in the…

Exactly Solvable and Integrable Systems · Physics 2009-01-05 L. Martinez Alonso , E. Medina

Skew orthogonal polynomials arise in the calculation of the $n$-point distribution function for the eigenvalues of ensembles of random matrices with orthogonal or symplectic symmetry. In particular, the distribution functions are completely…

solv-int · Physics 2015-06-26 M. Adler , P. J. Forrester , T. Nagao , P. van Moerbeke

We study orthogonal polynomials for a weight function defined over a domain of revolution, where the domain is formed from rotating a two-dimensional region and goes beyond the quadratic domains. Explicit constructions of orthogonal bases…

Classical Analysis and ODEs · Mathematics 2023-11-28 Yuan Xu

We provide two new characterizations of bounded orthogonally additive polynomials from a uniformly complete vector lattice into a convex bornological space using harmonic means and completely partitioned weighted geometric means. Our result…

Functional Analysis · Mathematics 2021-09-23 Christopher Schwanke

Orthogonal polynomials and the Fourier orthogonal series on a cone of revolution in $\mathbb{R}^{d+1}$ are studied. It is shown that orthogonal polynomials with respect to the weight function $(1-t)^\gamma (t^2-\|x\|^2)^{\mu-\frac12}$ on…

Classical Analysis and ODEs · Mathematics 2019-11-05 Yuan Xu

The goal of this work is to introduce a local and a global interpolator in Jacobi-weighted spaces, with optimal order of approximation in the context of the $p$-version of finite element methods. Then, an a posteriori error indicator of the…

Numerical Analysis · Mathematics 2015-02-13 María Gabriela Armentano , Verónica Moreno

A method for moving least squares interpolation and differentiation is presented in the framework of orthogonal polynomials on discrete points. This yields a robust and efficient method which can avoid singularities and breakdowns in the…

Numerical Analysis · Mathematics 2010-09-21 Michael Carley

We investigate type I multiple orthogonal polynomials on $r$ intervals which have a common point at the origin and endpoints at the $r$ roots of unity $\omega^j$, $j=0,1,\ldots,r-1$, with $\omega = \exp(2\pi i/r)$. We use the weight…

Classical Analysis and ODEs · Mathematics 2020-03-16 Marjolein Leurs , Walter Van Assche

We consider mixed type multiple orthogonal polynomials associated with a system of weight functions consisting of two vectors. One vector is defined in terms of scaled modified Bessel function of the first kind $I_\mu$ and $I_{\mu+1}$, the…

Classical Analysis and ODEs · Mathematics 2016-09-28 Lun Zhang

As we all known, there is still a long way for us to solve arbitrary multivariate Lagrange interpolation in theory. Nevertheless, it is well accepted that theories about Lagrange interpolation on special point sets should cast important…

Commutative Algebra · Mathematics 2010-03-17 Tian Dong , Xiaoying Wang , Shugong Zhang , Peng Li

We prove an effective version of the Oppenheim conjecture with a polynomial error rate. The proof is based on an effective equidistribution theorem which in turn relies on recent progress towards restricted projection problem.

Dynamical Systems · Mathematics 2023-05-30 Elon Lindenstrauss , Amir Mohammadi , Zhiren Wang , Lei Yang

Merging finetuned Large Language Models (LLMs) has become increasingly important for integrating diverse capabilities into a single unified model. However, prevailing model merging methods rely on linear arithmetic in Euclidean space, which…

Machine Learning · Computer Science 2026-02-06 Sihan Yang , Kexuan Shi , Weiyang Liu