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Related papers: Sampling Sets for the Nevanlinna class

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We define $(\alpha_n)$ -regular sets in uniformly perfect metric spaces. This definition is quasisymmetrically invariant and the construction resembles generalized dyadic cubes in metric spaces. For these sets we then determine the…

Classical Analysis and ODEs · Mathematics 2016-12-28 Tuomo Ojala

We consider a family of non-local and non-convex functionals, and we prove that their Gamma-liminf is bounded from below by a positive multiple of the Sobolev norm or the total variation. As a by-product, we answer some open questions…

Functional Analysis · Mathematics 2024-02-21 Massimo Gobbino , Nicola Picenni

Refining an earlier result due to Hahlomaa, we provide a new Carleson-type condition for $k$-regular sets in the Heisenberg group $\mathbb{H}^n$ to have big pieces of Lipschitz images of subsets of $\mathbb{R}^k$ for $1\leq k\leq n$. Our…

Metric Geometry · Mathematics 2026-01-08 Katrin Fässler , Andrea Pinamonti , Kilian Zambanini

The notion of $p$-compact sets arises naturally from Grothendieck's characterization of compact sets as those contained in the convex hull of a norm null sequence. The definition, due to Sinha and Karn (2002), leads to the concepts of…

Functional Analysis · Mathematics 2012-08-31 Silvia Lassalle , Pablo Turco

We introduce the notion of a \lambda-nonisotropically balanced domain and show that the symmetrized polydisc in C^n, n \geq 2, is an example of such a domain. Given a \lambda-nonisotropically balanced domain \Omega, we derive effective…

Complex Variables · Mathematics 2007-05-23 Gautam Bharali

We prove a sampling theorem for infinite-dimensional Paley-Wiener spaces on graphs which allows for stable frame reconstruction. We prove that all sampling sets for a fixed Paley-Wiener space are complements of lambda-sets (i.e. sets where…

Functional Analysis · Mathematics 2026-05-29 Filippo Giannoni

Let $E$ be a closed set on the unit circle. We find a Blaschke-type condition, optimal in a sense of the order, on the Riesz measure of a subharmonic function $v$ in the unit disk with a certain growth at the direction of $E$. In particular…

Complex Variables · Mathematics 2009-06-27 S. Favorov , L. Golinskii

We give a Markov chain based algorithm for sampling almost uniform solutions of constraint satisfaction problems (CSPs). Assuming a canonical setting for the Lov\'asz local lemma, where each constraint is violated by a small number of…

Data Structures and Algorithms · Computer Science 2021-04-13 Weiming Feng , Kun He , Yitong Yin

The Hamburger moment problem for the $q$-Lommel polynomials which are related to the Hahn-Exton $q$-Bessel function is known to be indeterminate for a certain range of parameters. In this paper, the Nevanlinna parametrization for the…

Spectral Theory · Mathematics 2016-05-04 F. Štampach , P. Šťovíček

Motivated by set estimation problems, we consider three closely related shape conditions for compact sets: positive reach, r-convexity and rolling condition. First, the relations between these shape conditions are analyzed. Second, we…

Statistics Theory · Mathematics 2011-10-21 Antonio Cuevas , Ricardo Fraiman , Beatriz Pateiro-López

Logconcave functions represent the current frontier of efficient algorithms for sampling, optimization and integration in R^n. Efficient sampling algorithms to sample according to a probability density (to which the other two problems can…

Data Structures and Algorithms · Computer Science 2009-06-16 Karthekeyan Chandrasekaran , Amit Deshpande , Santosh Vempala

The problem of covering random points in a plane with sets of a given shape has several practical applications in communications and operations research. One especially prominent application is the coverage of randomly-located points of…

Computational Geometry · Computer Science 2022-09-01 Christophter Thron , Anthony Moreno

We derive fundamental sampling bounds for smooth signals in continuous settings without sparsity assumptions. By introducing the Fourier ratio as a measure of spectral compressibility induced by smoothness, we obtain explicit, deterministic…

Classical Analysis and ODEs · Mathematics 2026-01-27 A. Iosevich , E. Palsson , A. Yavicoli

In this paper we propose a different (and equivalent) norm on $S^{2} ({\mathbb{D}})$ which consists of functions whose derivatives are in the Hardy space of unit disk. The reproducing kernel of $S^{2}({\mathbb{D}})$ in this norm admits an…

Functional Analysis · Mathematics 2018-08-31 Caixing Gu , Shuaibing Luo

A theorem on subwavelength imaging with arrays of discrete sources is formulated. This theorem is analogous to the Kotelnikov (also named Nyquist-Shannon) sampling theorem as it represents the field at an arbitrary point of space in terms…

Optics · Physics 2009-04-06 S. I. Maslovski

This work concerns random dynamics of hyperbolic entire and meromorphic functions of finite order and whose derivative satisfies some growth condition at infinity. This class contains most of the classical families of transcendental…

Dynamical Systems · Mathematics 2017-02-06 Volker Mayer , Mariusz Urbanski

In this paper, we discuss some numerical realizations of Shannon's sampling theorem. First we show the poor convergence of classical Shannon sampling sums by presenting sharp upper and lower bounds of the norm of the Shannon sampling…

Numerical Analysis · Mathematics 2025-04-17 Melanie Kircheis , Daniel Potts , Manfred Tasche

We study $\Sigma_1(\omega_1)$-definable sets (i.e. sets that are equal to the collection of all sets satisfying a certain $\Sigma_1$-formula with parameter $\omega_1$) in the presence of large cardinals. Our results show that the existence…

Logic · Mathematics 2017-10-27 Philipp Lücke , Ralf Schindler , Philipp Schlicht

The spectral unit ball $\Omega_n$ is the set of all $n\times n$ matrices with spectral radius less than $1$. Let $\pi(M) \in \mathbb C^n$ stand for the coefficients of its characteristic polynomial of $M$ (up to signs), i.e. the elementary…

Complex Variables · Mathematics 2017-10-24 Nikolai Nikolov , Pascal J. Thomas , Duc-Anh Tran

Let $B^p_{\sigma}$, $1\le p<\infty$, $\sigma>0$, denote the space of all $f\in L^p(\mathbb{R})$ such that the Fourier transform of $f$ (in the sense of distributions) vanishes outside $[-\sigma,\sigma]$. The classical sampling theorem…

Classical Analysis and ODEs · Mathematics 2020-09-08 Saulius Norvidas
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