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Related papers: Optimality of embeddings in Orlicz spaces

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We study unbounded weak supersolutions of elliptic partial differential equations with generalized Orlicz (Musielak--Orlicz) growth. We show that they satisfy the weak Harnack inequality with optimal exponent provided that they belong to a…

Analysis of PDEs · Mathematics 2021-05-27 Allami Benyaiche , Petteri Harjulehto , Peter Hästö , Arttu Karppinen

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

In this paper we study a sharp Hardy-Littlewood-Sobolev (HLS) type inequality with Riesz potential on bounded smooth domains. We obtain the inequality for a general bounded domain $\Omega$ and show that if the extension constant for…

Analysis of PDEs · Mathematics 2017-09-13 Mathew Gluck , Meijun Zhu

We investigate robust Orlicz spaces as a generalisation of robust $L^p$-spaces. Two constructions of such spaces are distinguished, a top-down approach and a bottom-up approach. We show that separability of robust Orlicz spaces or their…

Probability · Mathematics 2021-05-11 Felix-Benedikt Liebrich , Max Nendel

We develop arguments on the critical point theory for locally Lipschitz functionals on Orlicz-Sobolev spaces, along with convexity and compactness techniques to investigate existence of solution of the multivalued equation $\displaystyle -…

Analysis of PDEs · Mathematics 2013-10-23 J. V. Goncalves , M. L. Carvalho

In the paper we introduce Orlicz type functional spaces defined in terms of nonlocal convolution type integral functionals and study the main properties of these spaces. We show in particular that, under natural convexity and growth…

Functional Analysis · Mathematics 2026-03-03 Denis Borisov , Andrey Piatnitski

This paper aims to extend to Orlicz-Sobolev spaces some results of integral representation for the simultaneous homogenization and dimensional reduction of integral energies defined on fields taking values on a differentiable manifold.…

Analysis of PDEs · Mathematics 2026-04-16 Joseph Dongho , Joel Fotso Tachago , Franck Tchinda , Elvira Zappale

In this paper, we prove the existence of extremal functions for the best constant of embedding from anisotropic space, allowing some of the Sobolev exponents to be equal to $1$. We prove also that the extremal functions satisfy a partial…

Analysis of PDEs · Mathematics 2018-04-18 Françoise Demengel , Thomas Dumas

This paper investigates the numerical approximation of integrals for functions in fractional Gaussian Sobolev spaces $W^s_{p}(\mathbb{R}^d,\gamma)$ with dominating mixed smoothness defined via kernel related to the fractional…

Numerical Analysis · Mathematics 2026-04-21 Van Kien Nguyen

The continouity and compactness of embedding operators in in Sobolev-Lions type spaces are derived. By applying this result separability properties of degenerate anisotropic differential operator equations, well-posedeness and Strichartz…

Functional Analysis · Mathematics 2017-05-26 Veli Shakhmurov

It has been known that sharp Sobolev embeddings into weak Lebesgue spaces are non-compact but the question of whether the measure of non-compactness of such an embedding equals to its operator norm constituted a well-known open problem. The…

Functional Analysis · Mathematics 2023-03-20 Jan Lang , Vít Musil , Miroslav Olšák , Luboš Pick

The purpose of this paper is to study a class of double phase problems, with a singular term and a superlinear parametric term on the right-hand side. Using the method of Nehari manifold combined with the fibering maps, we prove that for…

Analysis of PDEs · Mathematics 2022-01-05 Ahmed Aberqi , Jaouad Bennouna , Omar Benslimane , Maria Alessandra Ragusa

Let $\gamma\in\mathbb{R}\setminus\{0\}$ and $X(\mathbb{R}^n)$ be a ball Banach function space satisfying some extra mild assumptions. Assume that $\Omega=\mathbb{R}^n$ or $\Omega\subset\mathbb{R}^n$ is an $(\varepsilon,\infty)$-domain for…

Functional Analysis · Mathematics 2023-08-02 Chenfeng Zhu , Dachun Yang , Wen Yuan

Numerous characterizations of Sobolev norms via the asymptotic behavior of non-local functionals have been established over the past decades; however, their validity beyond the PI framework remains poorly understood. We establish such a…

Functional Analysis · Mathematics 2026-04-14 Bang-Xian Han , Zhe-Feng Xu , Zhuo-Nan Zhu

We begin by studying semigroup estimates that are more singular than those implied by a Sobolev embedding theorem but which are equivalent to certain logarithmic Sobolev inequalities. We then give a method for showing such log--Sobolev…

Spectral Theory · Mathematics 2007-05-23 C. Mason

We study weighted boundedness of Hardy-Littlewood-type maximal function involving Orlicz functions. We also obtain some sufficient conditions for the weighted boundedness of the Hardy-Littlewood maximal function of the upper-half plane.

Classical Analysis and ODEs · Mathematics 2017-02-13 Benoît F. Sehba

In this paper, we find necessary and sufficient conditions for the boundedness of fractional maximal operator $M_{\alpha}$ on Orlicz spaces. As an application of this results we consider the boundedness of fractional maximal commutator…

Functional Analysis · Mathematics 2018-03-09 Vagif S. Guliyev , Fatih Deringoz , Sabir G. Hasanov

What is the optimal way to cut a convex bounded domain $K$ in Euclidean space $(\mathbb{R}^n,|\cdot|)$ into two halves of equal volume, so that the interface between the two halves has least surface area? A conjecture of Kannan, Lov\'asz…

Functional Analysis · Mathematics 2018-02-06 Alexander V. Kolesnikov , Emanuel Milman

Inspired by a question of Lie, we study boundedness in subspaces of $L^1(\mathbb{R})$ of oscillatory maximal functions. In particular, we construct functions in $L^1(\mathbb{R})$ which are never integrable under action of our class of…

Classical Analysis and ODEs · Mathematics 2020-02-03 Tainara Borges , Cynthia Bortolotto , João P. G. Ramos

We consider neural network approximation spaces that classify functions according to the rate at which they can be approximated (with error measured in $L^p$) by ReLU neural networks with an increasing number of coefficients, subject to…

Functional Analysis · Mathematics 2021-10-29 Philipp Grohs , Felix Voigtlaender
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