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We study weighted Chebyshev polynomials on compact subsets of the complex plane with respect to a bounded weight function. We establish existence and uniqueness of weighted Chebyshev polynomials and derive weighted analogs of Kolmogorov's…

Complex Variables · Mathematics 2025-08-13 Galen Novello , Klaus Schiefermayr , Maxim Zinchenko

We consider the problem of finding for a given $N$-tuple of polynomials (real or complex) the closest $N$-tuple that has a common divisor of degree at least $d$. Extended weighted Euclidean seminorm of the coefficients is used as a measure…

Optimization and Control · Mathematics 2015-11-05 Konstantin Usevich , Ivan Markovsky

This article contains a characterization of when certain weighted Sobolev spaces on $\Bbb R^n$ embed compactly into $L^2(\mathbb R^n, \varphi)$. The characterization is in terms of derivatives of the weight function $\varphi$ and involves…

Functional Analysis · Mathematics 2010-07-22 Klaus Gansberger

In this paper we propose a way to construct classical type Sobolev orthogonal polynomials. We consider two families of hypergeometric polynomials: ${}_2 F_2(-n,1;q,r;x)$ and ${}_3 F_2(-n,n-1+a+b,1;a,c;x)$ ($a,b,c,q,r>0$, $n=0,1,...$), which…

Classical Analysis and ODEs · Mathematics 2019-02-12 Sergey M. Zagorodnyuk

The motivation of this paper comes from the two weight inequality $$\|P_\omega(f)\|_{L^p_v}\le C\|f\|_{L^p_v},\quad f\in L^p_v,$$ for the Bergman projection $P_\omega$ in the unit disc. We show that the boundedness of $P_\omega$ on $L^p_v$…

Functional Analysis · Mathematics 2014-12-16 José Ángel Peláez , Jouni Rättyä

In this paper, we study bounds of expected $L_2-$discrepancy to give mean square error of uniform integration approximation for functions in Sobolev space $\mathcal{H}^{\mathbf{1}}(K)$, where $\mathcal{H}$ is a reproducing Hilbert space…

Numerical Analysis · Mathematics 2021-10-05 Jun Xian , Xiaoda Xu

We prove new concentration estimates for random variables that are functionals of a Poisson measure defined on a general measure space. Our results are specifically adapted to geometric applications, and are based on a pervasive use of a…

Probability · Mathematics 2015-04-14 Sascha Bachmann , Giovanni Peccati

We consider the sparse polynomial approximation of a multivariate function on a tensor product domain from samples of both the function and its gradient. When only function samples are prescribed, weighted $\ell^1$ minimization has recently…

Numerical Analysis · Mathematics 2019-02-22 Ben Adcock , Yi Sui

We generalize Bourgain's discretized projection theorem to higher rank situations. Like Bourgain's theorem, our result yields an estimate for the Hausdorff dimension of the exceptional sets in projection theorems formulated in terms of…

Classical Analysis and ODEs · Mathematics 2018-05-10 Weikun He

Convergence rates for $L_2$ approximation in a Hilbert space $H$ are a central theme in numerical analysis. The present work is inspired by Schaback (Math. Comp., 1999), who showed, in the context of best pointwise approximation for radial…

Numerical Analysis · Mathematics 2024-10-01 Ian H. Sloan , Vesa Kaarnioja

We consider the weight w: 1<w<T on the unit circle and prove that the corresponding orthonormal polynomials can grow.

Classical Analysis and ODEs · Mathematics 2017-05-31 Sergey Denisov

We provide a robust and general algorithm for computing distribution functions associated to induced orthogonal polynomial measures. We leverage several tools for orthogonal polynomials to provide a spectrally-accurate method for a broad…

Numerical Analysis · Mathematics 2017-04-28 Akil Narayan

The density of polynomials in a weighted space of infinitely differentiable functions in a multidimensional real space is proved under minimal conditions on weight functions and on differences between weight functions. We apply this result…

Classical Analysis and ODEs · Mathematics 2007-05-23 P. V. Fedotova , I. Kh. Musin

This paper extends the universal approximation property of single-hidden-layer feedforward neural networks beyond compact domains, which is of particular interest for the approximation within weighted $C^k$-spaces and weighted Sobolev…

Machine Learning · Statistics 2025-07-08 Ariel Neufeld , Philipp Schmocker

In this work, we study a random orthogonal projection based least squares estimator for the stable solution of a multivariate nonparametric regression (MNPR) problem. More precisely, given an integer $d\geq 1$ corresponding to the dimension…

Statistics Theory · Mathematics 2022-02-04 Asma BenSaber , Sophie Dabo-Niang , Abderrazek Karoui

We study the uniform asymptotics for the orthogonal polynomials with respect to weights composed of both absolutely continuous measure and discrete measure, by taking a special class of the sieved Pollazek Polynomials as an example. The…

Complex Variables · Mathematics 2014-12-31 Xiao-Bo Wu , Yu Lin , Shuai-Xia Xu , Yu-Qiu Zhao

We study the space of orthogonally additive $n$-homogeneous polynomials on $C(K)$. There are two natural norms on this space. First, there is the usual supremum norm of uniform convergence on the closed unit ball. As every orthogonally…

Functional Analysis · Mathematics 2018-07-10 Christopher Boyd , Raymond A. Ryan , Nina Snigireva

We study multivariate $\boldsymbol{L}_{\infty}$-approximation for a weighted Korobov space of periodic functions for which the Fourier coefficients decay exponentially fast. The weights are defined, in particular, in terms of two sequences…

Numerical Analysis · Mathematics 2016-02-09 Peter Kritzer , Friedrich Pillichshammer , Henryk Wozniakowski

Given a sequence of Marcinkiewicz-Zygmund inequalities in $L_2$ on a usual compact space $\mathcal M$, Gr\"ochenig introduced the weighted least squares polynomials and the least squares quadrature from pointwise samples of a function, and…

Numerical Analysis · Mathematics 2021-01-12 Wanting Lu , Heping Wang

We prove that the set of orthogonal projections on a Hilbert space equipped with the length metric is $\frac\pi2$-geodesic. As an application, we consider the problem of variation of spectral subspaces for bounded linear self-adjoint…

Spectral Theory · Mathematics 2010-07-12 Konstantin A. Makarov , Albrecht Seelmann