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A Banach space property for signal spaces with applications for sampling and system approximation

  • Technical University of Munich

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The Banach-Steinhaus theorem, one of the fundamental results in functional analysis, completely characterizes the convergence of linear approximation processes. If the condition of boundedness is violated, then the principle of uniform boundedness implies the unbounded divergence of the approximation process on a residual set. In this paper we give a sufficient condition for Banach spaces that guarantees the unbounded divergence not only for a residual set but rather for a set that contains an infinite dimensional closed subspace after the zero element has been added. We further show that many important signal space, e.g., Paley-Wiener and Bernstein spaces, possess this property, and demonstrate consequences for the convergence behavior of sampling series and system approximation processes.

Original languageEnglish
Title of host publication2017 12th International Conference on Sampling Theory and Applications, SampTA 2017
EditorsGholamreza Anbarjafari, Andi Kivinukk, Gert Tamberg
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages484-488
Number of pages5
ISBN (Electronic)9781538615652
DOIs
StatePublished - 1 Sep 2017
Event12th International Conference on Sampling Theory and Applications, SampTA 2017 - Tallinn, Estonia
Duration: 3 Jul 20177 Jul 2017

Publication series

Name2017 12th International Conference on Sampling Theory and Applications, SampTA 2017

Conference

Conference12th International Conference on Sampling Theory and Applications, SampTA 2017
Country/TerritoryEstonia
CityTallinn
Period3/07/177/07/17

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