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Optimal weighted Sobolev-Lorentz embeddings with homogeneous weights in open convex cones are established, with the exact value of the optimal constant. These embeddings are non-compact, and this paper investigates the structure of their…

Functional Analysis · Mathematics 2025-04-01 Petr Gurka , Jan Lang , Zdeněk Mihula

A comprehensive analysis of Sobolev-type inequalities for the Ornstein-Uhlenbeck operator in the Gauss space is offered. A unified approach is proposed, providing one with criteria for their validity in the class of rearrangement-invariant…

Functional Analysis · Mathematics 2023-03-20 Andrea Cianchi , Vít Musil , Luboš Pick

We study fine P\'olya-Szeg\H{o} rearrangement inequalities into weighted intervals for Sobolev functions and functions of bounded variation defined on metric measure spaces supporting an isoperimetric inequality. We then specialize this…

Analysis of PDEs · Mathematics 2025-10-14 Francesco Nobili , Ivan Yuri Violo

The optimal Orlicz target space is exhibited for embeddings of fractional-order Orlicz-Sobolev spaces in $\mathbb R^n$. An improved embedding with an Orlicz-Lorentz target space, which is optimal in the broader class of all…

Functional Analysis · Mathematics 2020-01-17 Angela Alberico , Andrea Cianchi , Luboš Pick , Lenka Slavíková

A unified approach to embedding theorems for Sobolev type spaces of vector-valued functions, defined via their symmetric gradient, is proposed. The Sobolev spaces in question are built upon general rearrangement-invariant norms. Optimal…

Analysis of PDEs · Mathematics 2021-07-15 Dominic Breit , Andrea Cianchi

This short note investigates the compact embedding of degenerate matrix weighted Sobolev spaces into weighted Lebesgue spaces. The Sobolev spaces explored are defined as the abstract completion of Lipschitz functions in a bounded domain…

Analysis of PDEs · Mathematics 2019-08-16 Dario D. Monticelli , Scott Rodney

Sobolev embeddings, of arbitrary order, are considered into function spaces on domains of $\mathbb R^n$ endowed with measures whose decay on balls is dominated by a power $d$ of their radius. Norms in arbitrary rearrangement-invariant…

Functional Analysis · Mathematics 2019-12-10 Andrea Cianchi , Luboš Pick , Lenka Slavíková

This work deals with embeddings, of any integer order, for generalized Lorentz-Zygmund-Sobolev spaces on Euclidean domains satisfying minimal regularity assumptions. Explicit rearrangement-invariant, H\"older, Morrey and Campanato optimal…

Functional Analysis · Mathematics 2026-05-25 Paola Cavaliere , Ladislav Drážný

An embedding theorem for Sobolev spaces built upon general Musielak-Orlicz norms is offered. These norms are defined in terms of generalized Young functions which also depend on the $x$ variable. Under minimal conditions on the latter…

Analysis of PDEs · Mathematics 2023-11-28 Andrea Cianchi , Lars Diening

A comprehensive approach to Sobolev-type embeddings, involving arbitrary rearrangement- invariant norms on the entire Euclidean space R^n, is offered. In particular, the optimal target space in any such embedding is exhibited. Crucial in…

Functional Analysis · Mathematics 2017-12-01 Angela Alberico , Andrea Cianchi , Lubos Pick , Lenka Slavikova

We completely characterize the validity of the inequality $\|u\|_{Y(\mathbb{R}^n)}\leq C \|\nabla^m u\|_{X(\mathbb{R}^n)}$, where $X$ and $Y$ are rearrangement-invariant spaces, by reducing it to a considerably simpler one-dimensional…

Functional Analysis · Mathematics 2021-01-21 Zdeněk Mihula

We establish equivalence between the boundedness of specific supremum operators and the optimality of function spaces in Sobolev embeddings acting on domains in ambient Euclidean space with a prescribed isoperimetric behavior. Our approach…

Functional Analysis · Mathematics 2024-07-10 David Kubíček

We provide a complete characterization of compactness of Sobolev embeddings of radially symmetric functions on the entire space $\mathbb{R}^n$ in the general framework of rearrangement-invariant function spaces. We avoid any unnecessary…

Functional Analysis · Mathematics 2026-03-05 Zdeněk Mihula

Let $k,N \in \mathbb{N}$ with $1\le k\le N$ and let $\Omega=\Omega_1 \times \Omega_2$ be an open set in $\mathbb{R}^k \times \mathbb{R}^{N-k}$. For $p\in (1,\infty)$ and $q \in (0,\infty),$ we consider the following Hardy-Sobolev type…

Analysis of PDEs · Mathematics 2025-06-17 T. V. Anoop , Nirjan Biswas , Ujjal Das

We investigate the relationship between the compactness of embeddings of Sobolev spaces built upon rearrangement-invariant spaces into rearrangement-invariant spaces endowed with $d$-Ahlfors measures under certain restriction on the speed…

Functional Analysis · Mathematics 2022-05-16 Jan Lang , Zdeněk Mihula , Luboš Pick

We prove sharp embedding inequalities for certain reduced Sobolev spaces that arise naturally in the context of Dirichlet problems with $L^1$ data. We also find the optimal target spaces for such embeddings, which in dimension 2 could be…

Functional Analysis · Mathematics 2013-03-26 Luigi Fontana , Carlo Morpurgo

In mathematical modelling, the data and solutions are represented as measurable functions and their quality is oftentimes captured by the membership to a certain function space. One of the core questions for an analysis of a model is the…

Functional Analysis · Mathematics 2022-11-22 Vít Musil , Luboš Pick , Jakub Takáč

Optimal higher-order Sobolev type embeddings are shown to follow via isoperimetric inequalities. This establishes a higher-order analogue of a well-known link between first-order Sobolev embeddings and isoperimetric inequalities. Sobolev…

Functional Analysis · Mathematics 2013-11-04 Andrea Cianchi , Luboš Pick , Lenka Slavíková

Sobolev type inequalities involving homogeneous elliptic canceling differential operators and rearrangement-invariant norms on the Euclidean space are considered. They are characterized via considerably simpler one-dimensional Hardy type…

Functional Analysis · Mathematics 2025-12-03 Dominic Breit , Andrea Cianchi , Daniel Spector

The worst case integration error in reproducing kernel Hilbert spaces of standard Monte Carlo methods with n random points decays as $n^{-1/2}$. However, re-weighting of random points can sometimes be used to improve the convergence order.…

Numerical Analysis · Mathematics 2018-01-26 Martin Ehler , Manuel Graef , Chris. J. Oates
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