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Related papers: Some new function spaces of variable smoothness

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We introduce and describe relations between Sobolev, Besov and Paley-Wiener spaces associated with three representations of the Lie group of affine transformations of the line. These representations are left and right regular…

Functional Analysis · Mathematics 2024-01-31 Isaac Pesenson

The paper is concerned with the sparse approximation of functions having hybrid regularity borrowed from the theory of solutions to electronic Schr\"odinger equations due to Yserentant [43]. We use hyperbolic wavelets to introduce…

Numerical Analysis · Mathematics 2022-03-21 Glenn Byrenheid , Janina Hübner , Markus Weimar

In this work we develop a well-defined theory of orbit spaces for piecewise smooth vector fields (PSVFs). This approach is inspired by the techniques already used in the study of endomorphisms, namely inverse limit analysis, and has been…

Dynamical Systems · Mathematics 2025-10-07 Otávio M. L. Gomide , Pedro G. Mattos , Régis Varão

In this paper we present certain bilinear estimates for commutators on Besov spaces with variable smoothness and integrability, and under no vanishing assumptions on the divergence of vector fields. Such commutator estimates are motivated…

Analysis of PDEs · Mathematics 2023-12-11 Salah BenMahmoud

In this article some explicit estimates on the decay of the convolutive inverse of a sequence are proved. They are derived from the functional calculus for Sobolev algebras. Applications include localization in spline-type spaces and…

Classical Analysis and ODEs · Mathematics 2008-04-25 José Luis Romero

It is typical in smectic liquid crystals to describe elastic deformations with a linear theory when the elastic strain is small. We extend the recent, exact solution of Brener and Marchenko to more general one-dimensional deformations,…

Soft Condensed Matter · Physics 2009-11-10 C. D. Santangelo , Randall D. Kamien

Besov spaces with dominating mixed smoothness, on the product of the real line and the torus as well as bounded domains, are studied. A characterization of these function spaces in terms of differences is provided. Applications to random…

Classical Analysis and ODEs · Mathematics 2025-07-30 Paul Nikolaev , David J. Prömel , Mathias Trabs

We present in this paper a new way to define weighted Sobolev spaces when the weight functions are arbitrary small. This new approach can replace the old one consisting in modifying the domain by removing the set of points where at least…

Analysis of PDEs · Mathematics 2025-04-15 Djamel eddine Kebiche

The canonical generalizations of two classical norms on Besov spaces are shown to be equivalent even in the case of non-linear Besov spaces, that is, function spaces consisting of functions taking values in a metric space and equipped with…

Functional Analysis · Mathematics 2024-06-19 Chong Liu , David J. Prömel , Josef Teichmann

The sample paths of white noise are proved to be elements of certain Besov spaces with dominating mixed smoothness. Unlike in isotropic spaces, here the regularity does not get worse with increasing space dimension. Consequently, white…

Probability · Mathematics 2020-05-25 Felix Hummel

In this paper, we study different types of weighted Besov and Triebel-Lizorkin spaces with variable smoothness. The function spaces can be defined by means of the Littlewood-Paley theory in the field of Fourier analysis, while there are…

Classical Analysis and ODEs · Mathematics 2025-12-24 Jae-Hwan Choi , Jin Bong Lee , Jinsol Seo , Kwan Woo

The present article is concerned with the nonlinear approximation of functions in the Sobolev space H^q with respect to a tensor-product, or hyperbolic wavelet basis on the unit n-cube. Here, q is a real number, which is not necessarily…

Functional Analysis · Mathematics 2025-11-04 Helmut Harbrecht , Remo von Rickenbach

For the trace of Besov spaces $B^s_{p,q}$ onto a hyperplane, the borderline case with $s=\frac{n}{p}-(n-1)$ and $0<p<1$ is analysed and a new dependence on the sum-exponent $q$ is found. Through examples the restriction operator defined for…

Analysis of PDEs · Mathematics 2017-03-23 Jon Johnsen

In this paper we propose a function space approach to Representation Learning and the analysis of the representation layers in deep learning architectures. We show how to compute a weak-type Besov smoothness index that quantifies the…

Artificial Intelligence · Computer Science 2017-10-11 Oren Elisha , Shai Dekel

In this work we establish a sampling theorem for functions in Besov spaces on spaces of homogeneous type as defined in [HY] in the spirit of their recent counterpart for R d established by Jaming-Malinnikova in [JM]. The main tool is the…

Classical Analysis and ODEs · Mathematics 2017-06-30 Philippe Jaming , Felipe Negreira

This note introduces a novel numerical analysis framework for the incompressible Navier-Stokes equations based on Besov spaces. The key contribution of this note is to establish the stability and convergence of a semi-implicit time-stepping…

Numerical Analysis · Mathematics 2025-09-30 Xinyu Cheng , Zhaonan Luo , Sheng Wang

The smoothing spline is one of the most popular curve-fitting methods, partly because of empirical evidence supporting its effectiveness and partly because of its elegant mathematical formulation. However, there are two obstacles that…

Statistics Theory · Mathematics 2012-09-11 Yu Ryan Yue , Daniel Simpson , Finn Lindgren , Håvard Rue

The purpose of this note is to discuss how various Sobolev spaces defined on multiple cones behave with respect to density of smooth functions, interpolation and extension/restriction to/from $\RR^n$. The analysis interestingly combines use…

Classical Analysis and ODEs · Mathematics 2010-05-31 Pascal Auscher , Nadine Badr

We study the estimation of quadratic Sobolev-type integral functionals of an unknown density on the unit sphere. The functional is defined through fractional powers of the Laplace--Beltrami operator and provides a global measure of…

Statistics Theory · Mathematics 2026-02-05 Claudio Durastanti

Many scientific fields and applications require compact representations of multivariate functions. For this problem, decoupling methods are powerful techniques for representing the multivariate functions as a combination of linear…

Systems and Control · Electrical Eng. & Systems 2025-04-07 Joppe De Jonghe , Mariya Ishteva