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In this paper we deduce a local deformation lemma for uniform embeddings in a metric covering space over a compact manifold from the deformation lemma for embeddings of a compact subspace in a manifold. This implies the local…

Geometric Topology · Mathematics 2012-11-19 Tatsuhiko Yagasaki

Metric embedding has become a common technique in the design of algorithms. Its applicability is often dependent on how high the embedding's distortion is. For example, embedding finite metric space into trees may require linear distortion…

Data Structures and Algorithms · Computer Science 2007-05-23 Yair Bartal , Manor Mendel

We prove that for any fixed unitary matrix $U$, any abelian self-adjoint algebra of matrices that is invariant under conjugation by $U$ can be embedded into a maximal abelian self-adjoint algebra that is still invariant under conjugation by…

Rings and Algebras · Mathematics 2024-02-01 Mitja Mastnak , Heydar Radjavi

In this note some structural properties of grand variable exponent Lebesgue/ Morrey spaces over spaces of homogeneous type are obtained. In particular, it is proved that the closure of the class of bounded functions and the closure of…

Functional Analysis · Mathematics 2017-10-09 Alexander Meskhi , Yoshihiro Sawano

Geometrical model for material Dirac wave field and for Maxwell electromagnetic field is suggested where above fields are considered as propagating regions of the space itself with distorted euclidean geometry. It is shown that equations…

Quantum Physics · Physics 2010-11-11 Oleg A. Olkhov

In this note we discuss a common misconception, namely that embeddings are always used to reduce the dimensionality of the item space. We show that when we measure dimensionality in terms of information entropy then the embedding of sparse…

Machine Learning · Computer Science 2019-01-09 Maxim Naumov

Companion results to the Bombieri generalisation of Bessel's inequality in inner product spaces are given.

Classical Analysis and ODEs · Mathematics 2007-05-23 Sever Silvestru Dragomir

In this article we investigate some properties of equivariant embeddings of a symmetric K\"ahlerian manifold. Motivated by a theorem of Cartan and Wallach on equivariant embeddings of symmetric spaces we characterize these embeddings in the…

Differential Geometry · Mathematics 2025-11-04 J. -H. Eschenburg , K. K. Santos , R. Tribuzy

The paper is devoted to a categorical study of the category of probabilistic metric spaces. The study is based on an isomorphic description of the category of probabilistic metric spaces. The isomorphic description was obtained in [3] and…

General Topology · Mathematics 2026-04-02 Eva Colebunders , Robert Lowen

In this paper under some growth condition we investigate the connection between RBMO and the Morrey spaces. We do not assume the doubling condition which has been a key property of harmonic analysis. We also obtain another type of…

Functional Analysis · Mathematics 2016-06-10 Hitoshi Tanaka , Yoshihiro Sawano

We consider spaces of holomorphic functions which are square-integrable against a Gaussian weight, which appear in the theory of metaplectic FBI--Bargmann transforms. We identify the operator norm of embeddings between two such spaces, by…

Analysis of PDEs · Mathematics 2022-09-28 Joe Viola

The aim of this paper is to provide Markov-type inequalities in the setting of weighted Sobolev spaces when the considered weights are generalized classical weights. Also, as results of independent interest, some basic facts about Sobolev…

Classical Analysis and ODEs · Mathematics 2015-01-27 Francisco Marcellán , Yamilet Quintana , José M. Rodríguez

The definition of quasi-local mass for a bounded space-like region in space-time is essential in several major unsettled problems in general relativity. The quasi-local mass is expected to be a type of flux integral on the boundary…

Differential Geometry · Mathematics 2009-11-13 Mu-Tao Wang , Shing-Tung Yau

Embedders play a central role in machine learning, projecting any object into numerical representations that can, in turn, be leveraged to perform various downstream tasks. The evaluation of embedding models typically depends on…

Machine Learning · Computer Science 2024-11-19 Maxime Darrin , Philippe Formont , Ismail Ben Ayed , Jackie CK Cheung , Pablo Piantanida

We seek to better understand the difference in quality of the several publicly released embeddings. We propose several tasks that help to distinguish the characteristics of different embeddings. Our evaluation of sentiment polarity and…

Machine Learning · Computer Science 2013-05-31 Yanqing Chen , Bryan Perozzi , Rami Al-Rfou , Steven Skiena

Partitionings (or segmentations) divide a given domain into disjoint connected regions whose union forms again the entire domain. Multi-dimensional partitionings occur, for example, when analyzing parameter spaces of simulation models,…

Human-Computer Interaction · Computer Science 2024-10-28 Marina Evers , Lars Linsen

We derive "numerical" criteria for the existence of embeddings of representations of finite dimensional algebras.

Representation Theory · Mathematics 2014-06-23 Kathrin Kerkmann , Markus Reineke

To each weighted Dirichlet space $\mathcal{D}_p$, $0<p<1$, we associate a family of Morrey-type spaces ${\mathcal{D}}_p^{\lambda}$, $0< \lambda < 1$, constructed by imposing growth conditions on the norm of hyperbolic translates of…

Complex Variables · Mathematics 2018-11-26 Petros Galanopoulos , Noel Merchán , Aristomenis G. Siskakis

We prove embeddings of Sobolev and Hardy-Sobolev spaces into Besov spaces built upon certain mixed norms. This gives an improvment of the known embeddings into usual Besov spaces. Applying these results, we obtain Oberlin type estimates of…

Classical Analysis and ODEs · Mathematics 2018-09-19 Viktor Kolyada

Due to the growing interest in embeddings of space-time in higher-dimensional spaces we consider a specific type of embedding. After proving an inequality between intrinsically defined curvature invariants and the squared mean curvature, we…

General Relativity and Quantum Cosmology · Physics 2009-11-10 Stefan Haesen , Leopold Verstraelen
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