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Related papers: On $M$ -- terms approximations Besov classes in Lo…

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We consider approximation by functions with finite support and characterize its approximation spaces in terms of interpolation spaces and Lorentz spaces.

Classical Analysis and ODEs · Mathematics 2017-07-05 Bo Ling , Yongping Liu

On the one hand, the framework of mixed norm spaces has potential applications in different areas of mathematics. On the other hand, neural network (NN) operators are well established as approximators, attracting significant attention in…

Functional Analysis · Mathematics 2025-09-24 Priyanka Majethiya , Shivam Bajpeyi

In analogy with bilinear Riesz potentials, we introduce bilinear Bessel potentials and characterize their boundedness from $L^p\times L^q$ into Lebesgue and Lorentz spaces $L^{r,\alpha}.$ In several cases we identify the optimal Lorentz…

Functional Analysis · Mathematics 2026-03-18 Ana Čolović , Xinyu Gao

We establish imbedding properties between Grand Lebesgue Spaces and (generalized) Lorentz-Zygmund ones. We extend some known previous results concerning imbedding theorems between Grand Lebesgue and classical Lebesgue-Riesz spaces and we…

Functional Analysis · Mathematics 2022-12-26 Maria Rosaria Formica , Eugeny Ostrovsky , Leonid Sirota

We study fractional variants of the quasi-norms introduced by Brezis, Van Schaftingen, and Yung in the study of the Sobolev space $\dot W^{1,p}$. The resulting spaces are identified as a special class of real interpolation spaces of…

Functional Analysis · Mathematics 2022-12-08 Óscar Domínguez , Andreas Seeger , Brian Street , Jean Van Schaftingen , Po-Lam Yung

In this paper, we show that Besov and Triebel-Lizorkin functions can be approximated by a H\"older continuous function both in the Lusin sense and in norm. The results are proven in metric measure spaces for Haj{\l}asz-Besov and…

Functional Analysis · Mathematics 2015-04-13 Toni Heikkinen , Heli Tuominen

We analyze the embedding properties between Besov spaces, defined on the total space $\mathbb R^n$ and on bounded domains. We give a complete classification on whether or not these embedding maps satisfy certain weak compactness…

Functional Analysis · Mathematics 2025-09-26 Chian Yeong Chuah , Jan Lang , Liding Yao

We obtain estimates exact in order for deviations of Zygmund sums in metrics of spaces $L_{q}$, $1<q<\infty$, on classes of $2\pi$-periodic functions, that admit the representation in the form of convolution of functions that belong to unit…

Classical Analysis and ODEs · Mathematics 2014-05-06 U. Z. Grabova

In this short article we show a particular version of the Hedberg inequality which can be used to derive, in a very simple manner, functional inequalities involving Sobolev and Besov spaces in the general setting of Lebesgue spaces of…

Functional Analysis · Mathematics 2021-05-19 Diego Chamorro

Recent findings by Jahn, T. Ullrich, Voigtlaender [10] relate non-linear sampling numbers for the square norm to quantities involving trigonometric best $m-$term approximation errors in the uniform norm. Here we establish new results for…

Numerical Analysis · Mathematics 2024-07-24 Moritz Moeller , Serhii Stasyuk , Tino Ullrich

The aim of the paper is to establish (local) optimal embeddings of Besov spaces $B^{0,b}_{p,r}$ involving only a slowly varying smoothness $b$. In general, our target spaces are outside of the scale of Lorentz-Karamata spaces and are…

Functional Analysis · Mathematics 2019-07-22 Júlio S. Neves , Bohumír Opic

The Besov space associated with the harmonic oscillator is introduced and thoroughly explored in this paper. It provides a comprehensive summary of the fundamental concepts of the Besov spaces, their embedding properties, bilinear…

Analysis of PDEs · Mathematics 2025-08-29 Reika Fukuizumi , Tsukasa Iwabuchi

In this paper we obtained some direct and inverse theorems of approximation theory for $\psi$-differentiable functions in the metric weighted Orlicz spaces with weights, which belong to the class of Muckenhoupt.

Classical Analysis and ODEs · Mathematics 2015-01-13 Stanislav Chaichenko

We study approximation classes for adaptive time-stepping finite element methods for time-dependent Partial Differential Equations (PDE). We measure the approximation error in $L_2([0,T)\times\Omega)$ and consider the approximation with…

Numerical Analysis · Mathematics 2021-03-11 Marcelo Actis , Pedro Morin , Cornelia Schneider

We estimate the norm of the harmonic Bergman projection in the context of harmonic Besov spaces. We obtain the two-side norm estimates in general Lp-case.

Complex Variables · Mathematics 2017-09-14 Djordjije Vujadinovic

We give an optimal in mixed (anisotropic) Strichartz type Lebesgue space-time norm estimates for the solution of linear parabolic inhomogeneous initial problem, with are exact or exact up to multiplicative constant coefficient evaluation.

Analysis of PDEs · Mathematics 2014-01-07 E. Ostrovsky , L. Sirota

In this paper we investigate some basic results on the slice regular Besov spaces of hyperholomorphic functions on the unit ball $\mathbb{B}.$ We also characterize the boundedness, compactness and find the essential norm estimates of…

Functional Analysis · Mathematics 2016-09-09 Sanjay Kumar , Khalid Manzoor

Variable Muckenhoupt weights are considered in variable exponent Lebesgue spaces. Applications are given for polynomial approximation in these spaces. Boundedness of averaging operator is proved to gain a transference result. Almost all…

Classical Analysis and ODEs · Mathematics 2021-09-02 Ramazam Akgün

We compare Besov spaces with isotropic smoothness with Besov spaces of dominating mixed smoothness. Necessary and sufficient conditions for continuous embeddings will be given.

Functional Analysis · Mathematics 2016-01-18 Van Kien Nguyen , Winfried Sickel

We consider the order of convergence for linear and nonlinear Monte Carlo approximation of compact embeddings from Sobolev spaces of dominating mixed smoothness defined on the torus $\mathbb{T}^d$ into the space $L_{\infty}(\mathbb{T}^d)$…

Numerical Analysis · Mathematics 2018-03-02 Glenn Byrenheid , Robert J. Kunsch , Van Kien Nguyen