English
Related papers

Related papers: Sampling in reproducing kernel Banach spaces on Li…

200 papers

A continuous frame is a family of vectors in a Hilbert space which allows reproductions of arbitrary elements by continuous superpositions. Associated to a given continuous frame we construct certain Banach spaces. Many classical function…

Functional Analysis · Mathematics 2007-05-23 Massimo Fornasier , Holger Rauhut

We derive a necessary and sufficient condition for the existence of symmetric space structures on quotients of Banach symmetric spaces. Along the way, we investigate the different kinds of reflection subspaces and their Lie triple systems.

Differential Geometry · Mathematics 2011-02-14 Michael Klotz

Recent advances in machine learning have led to increased interest in reproducing kernel Banach spaces (RKBS) as a more general framework that extends beyond reproducing kernel Hilbert spaces (RKHS). These works have resulted in the…

Machine Learning · Computer Science 2024-11-19 Akash Kumar , Mikhail Belkin , Parthe Pandit

$\newcommand{mc}[1]{\mathcal{#1}}$ $\newcommand{D}{\mc{D}(\mc{Q},L^p,\ell_w^q)}$ We present a framework for the construction of structured, possibly compactly supported Banach frames and atomic decompositions for decomposition spaces. Such…

Functional Analysis · Mathematics 2016-12-30 Felix Voigtlaender

For a topological group G, we show that a compact metric G-space is tame if and only if it can be linearly represented on a separable Banach space which does not contain an isomorphic copy of $l_1$ (we call such Banach spaces, Rosenthal…

Dynamical Systems · Mathematics 2012-06-14 E. Glasner , M. Megrelishvili

We consider a general regularised interpolation problem for learning a parameter vector from data. The well known representer theorem says that under certain conditions on the regulariser there exists a solution in the linear span of the…

Machine Learning · Computer Science 2018-04-26 Kevin Schlegel

Recently, there has been emerging interest in constructing reproducing kernel Banach spaces (RKBS) for applied and theoretical purposes such as machine learning, sampling reconstruction, sparse approximation and functional analysis.…

Machine Learning · Computer Science 2021-12-09 Rongrong Lin , Haizhang Zhang , Jun Zhang

We demonstrate that a reproducing kernel Hilbert or Banach space of functions on a separable absolute Borel space or an analytic subset of a Polish space is separable if it possesses a Borel measurable feature map.

Functional Analysis · Mathematics 2016-07-06 Houman Owhadi , Clint Scovel

This paper provides a self-contained exposition of coorbit spaces associated to integrable group representations and quasi-Banach function spaces, and at the same time extends and simplifies previous work. The main results provide an…

Functional Analysis · Mathematics 2024-02-26 Jordy Timo van Velthoven , Felix Voigtlaender

A group G is representable in a Banach space X if G is isomorphic to the group of isometries on X in some equivalent norm. We prove that a countable group G is representable in a separable real Banach space X in several general cases,…

Functional Analysis · Mathematics 2007-07-30 Valentin Ferenczi , Eloi Medina Galego

In this paper we study the variational problem associated to support vector regression in Banach function spaces. Using the Fenchel-Rockafellar duality theory, we give explicit formulation of the dual problem as well as of the related…

Optimization and Control · Mathematics 2017-05-08 Saverio Salzo , Johan A. K. Suykens

This article studies constructions of reproducing kernel Banach spaces (RKBSs) which may be viewed as a generalization of reproducing kernel Hilbert spaces (RKHSs). A key point is to endow Banach spaces with reproducing kernels such that…

Functional Analysis · Mathematics 2017-06-27 Yuesheng Xu , Qi Ye

The present paper provides a new representation of the solution to the fragmentation equation as a power series in the Banach space of Radon measures endowed with the total variation norm. This representation is used to justify how the…

Analysis of PDEs · Mathematics 2023-06-19 Marie Doumic , Miguel Escobedo , Magali Tournus

This paper is concerned with a new approach to coorbit space theory. Usually, coorbit spaces are defined by collecting all distributions for which the voice transform associated with a square-integrable group representation possesses a…

Functional Analysis · Mathematics 2025-12-22 S. Dahlke , F. De Mari , E. De Vito , M. Hansen , G. Steidl , G. Teschke

We study some questions concerning the structure of the set of spreading models of a separable infinite-dimensional Banach space $X$. In particular we give an example of a reflexive $X$ so that all spreading models of $X$ contain $\ell_1$…

Functional Analysis · Mathematics 2007-05-23 G. Androulakis , E. Odell , Th. Schlumprecht , N. Tomczak-Jaegermann

We present a formalisation of the existence and uniqueness theorems of integral curves of vector fields on Banach manifolds in the Lean theorem prover. First, we formalize properties of differential equations on Banach spaces (the…

Differential Geometry · Mathematics 2026-02-17 Weichen Winston Yin , Yury Kudryashov

Recently representation theory has been used to provide atomic decompositions for a large collection of classical Banach spaces. In this paper we extend the techniques to also include projective representations. As our main application we…

Functional Analysis · Mathematics 2019-03-28 Jens Gerlach Christensen , Amer H. Darweesh , Gestur Olafsson

All most all the function spaces over real or complex domains and spaces of sequences, that arise in practice as examples of normed complete linear spaces (Banach spaces), are reflexive. These Banach spaces are dual to their respective…

General Mathematics · Mathematics 2022-03-01 Michael Oser Rabin , Duggirala Ravi

We present an embedding of stochastic optimal control problems, of the so called path integral form, into reproducing kernel Hilbert spaces. Using consistent, sample based estimates of the embedding leads to a model free, non-parametric…

Machine Learning · Computer Science 2012-08-14 Konrad Rawlik , Marc Toussaint , Sethu Vijayakumar

This paper studies the problem of approximating a function $f$ in a Banach space $X$ from measurements $l_j(f)$, $j=1,\dots,m$, where the $l_j$ are linear functionals from $X^*$. Most results study this problem for classical Banach spaces…

Numerical Analysis · Mathematics 2016-08-08 Ronald DeVore , Guergana Petrova , Przemyslaw Wojtaszczyk