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We study nuclear embeddings for spaces of Besov and Triebel-Lizorkin type defined on quasi-bounded domains $\Omega\subset {\mathbb R}^d$. The counterpart for such function spaces defined on bounded domains has been considered for a long…

Functional Analysis · Mathematics 2021-08-05 Dorothee D. Haroske , Hans-Gerd Leopold , Leszek Skrzypczak

Adapting the definition of ``extended Sobolev scale" on compact manifolds by Mikhailets and Murach to the setting of a (generally non-compact) manifold of bounded geometry $X$, we define the ``extended Sobolev scale" $H^{\varphi}(X)$, where…

Analysis of PDEs · Mathematics 2025-09-26 Ognjen Milatovic

We study compactness and boundedness of embeddings from Sobolev type spaces on metric spaces into $L^q$ spaces with respect to another measure. The considered Sobolev spaces can be of fractional order and some statements allow also…

Functional Analysis · Mathematics 2021-08-27 Jana Björn , Agnieszka Kałamajska

In this paper, we consider a maximizing problem associated with the Sobolev type embedding on the space of bounded variation. We show that, although the maximizing problem suffers from both of the non-compactness of vanishing and…

Analysis of PDEs · Mathematics 2019-05-21 Michinori Ishiwata , Hidemitsu Wadade

We consider local "complementary" generalized Morrey spaces ${\dual \cal M}_{\{x_0\}}^{p(\cdot),\om}(\Om)$ in which the $p$-means of function are controlled over $\Om\backslash B(x_0,r)$ instead of $B(x_0,r)$, where $\Om \subset \Rn$ is a…

Functional Analysis · Mathematics 2011-09-27 Vagif S. Guliyev , Javanshir J. Hasanov , Stefan G. Samko

We consider the family of non-local and non-convex functionals proposed and investigated by J. Bourgain, H. Brezis and H.-M. Nguyen in a series of papers of the last decade. It was known that this family of functionals Gamma-converges to a…

Functional Analysis · Mathematics 2020-03-25 Clara Antonucci , Massimo Gobbino , Matteo Migliorini , Nicola Picenni

We study the topology of singularities of $c$-optimal semicouplings in unequal dimension. Our main results describe homotopy-reductions from a source space $(X,\sigma)$ onto the singularities $Z_j$, $j\geq 0$ of $c$-optimal semicouplings…

Geometric Topology · Mathematics 2022-02-01 J. H. Martel

We introduce a novel framework for embedding anisotropic variable exponent Sobolev spaces into spaces of anisotropic variable exponent H\"{o}lder-continuous functions within rectangular domains. We establish a foundational approach to…

Functional Analysis · Mathematics 2024-11-21 Nabil Chems Eddine , Dušan D. Repovš

The Sobolev space $H^{\varsigma}(\mathbb{R}^{d})$, where $\varsigma > d/2$, is an important function space that has many applications in various areas of research. Attributed to the inertia of a measurement instrument, it is desirable in…

Functional Analysis · Mathematics 2020-02-04 Youfa Li , Deguang Han , Shouzhi Yang , Ganji Huang

We introduce a refined Sobolev scale on a vector bundle over a closed infinitely smooth manifold. This scale consists of inner product H\"ormander spaces parametrized with a real number and a function varying slowly at infinity in the sense…

Analysis of PDEs · Mathematics 2017-08-16 Tetiana Zinchenko

We give a new proof of the compactness of minimizing sequences of the Sobolev inequalities in the critical case. Our approach relies on a simplified version of the concentration-compactness principle, which does not require any refinement…

Analysis of PDEs · Mathematics 2025-06-12 Charlotte Dietze , Phan Thành Nam

We define and study homogeneous kinetic Sobolev spaces adapted to the Kolmogorov equation. We consider both local and non-local diffusion. The spaces are built from the Lebesgue spaces L p for all integrability exponents p $\in$ (1,…

Analysis of PDEs · Mathematics 2026-03-19 Pascal Auscher , Lukas Niebel

We obtain sharp embeddings from the Sobolev space $W^{k,2}_0(-1,1)$ into the space $L^1(-1,1)$ and determine the extremal functions. This improves on a previous estimate of the sharp constants of these embeddings due to Kalyabin.

Functional Analysis · Mathematics 2024-11-18 Raul Hindov , Shahaf Nitzan , Jan-Fredrik Olsen , Eskil Rydhe

In this thesis, we study moduli in compactifications of ten-dimensional heterotic supergravity. We consider supersymmetric compactifications to four-dimensional maximally symmetric space, commonly referred to as the Strominger system. The…

High Energy Physics - Theory · Physics 2015-12-28 Eirik Eik Svanes

In this expository paper, we consider the Hardy-Schr\"odinger operator $-\Delta -\gamma/|x|^2$ on a smooth domain \Omega of R^n with 0\in\bar{\Omega}, and describe how the location of the singularity 0, be it in the interior of \Omega or on…

Analysis of PDEs · Mathematics 2015-06-19 Nassif Ghoussoub , Frédéric Robert

In this article, for an optimal range of the smoothness parameter $s$ that depends (quantitatively) on the geometric makeup of the underlying space, the authors identify purely measure theoretic conditions that fully characterize embedding…

Functional Analysis · Mathematics 2022-02-16 Ryan Alvarado , Dachun Yang , Wen Yuan

Given $0<p,q, r<\infty $ and $ q<r\le \infty$ we consider the natural embedding $\ell_{p,q}\hookrightarrow \ell_{p,r}$ between Lorenz sequence spaces. We prove that this non-compact embedding is always strictly singular but not finitely…

Functional Analysis · Mathematics 2022-03-15 Jan Lang , Ales Nekvinda

In this article, we prove the existence of extremal functions in higher-order affine Sobolev inequalities. Proofs rely on concentration-compactness methods in spaces of integer or fractional regularity. The tools we use, available in spaces…

Functional Analysis · Mathematics 2026-04-02 Tristan Bullion-Gauthier

We establish embeddings on a class of Sobolev spaces with potential weights on unbounded domains. Our results provide embeddings into weighted Lebesgue spaces $L^q_\theta$ with radial power weights and establish the existence and…

Analysis of PDEs · Mathematics 2023-06-02 Joao Marcos do O , Guozhen Lu , Raoni Ponciano

Smooth activation functions are ubiquitous in modern deep learning, yet their theoretical advantages over non-smooth counterparts remain poorly understood. In this work, we study both approximation and statistical properties of neural…

Machine Learning · Statistics 2026-03-03 Yuhao Liu , Zilin Wang , Lei Wu , Shaobo Zhang