Publication:
New parameters and Lebesgue-type estimates in greedy approximation

dc.contributor.authorAlbiac Alesanco, Fernando José
dc.contributor.authorAnsorena, José L.
dc.contributor.authorBerná, Pablo M.
dc.contributor.departmentEstadística, Informática y Matemáticases_ES
dc.contributor.departmentEstatistika, Informatika eta Matematikaeu
dc.contributor.departmentInstitute for Advanced Materials and Mathematics - INAMAT2en
dc.contributor.funderUniversidad Pública de Navarra / Nafarroako Unibertsitate Publikoaes
dc.date.accessioned2023-04-04T11:30:33Z
dc.date.available2023-04-04T11:30:33Z
dc.date.issued2022
dc.date.updated2023-04-04T11:11:35Z
dc.description.abstractThe purpose of this paper is to quantify the size of the Lebesgue constants (𝑳𝑚)∞ 𝑚=1 associated with the thresholding greedy algorithm in terms of a new generation of parameters that modulate accurately some features of a general basis. This fine tuning of constants allows us to provide an answer to the question raised by Temlyakov in 2011 to find a natural sequence of greedy-type parameters for arbitrary bases in Banach (or quasi-Banach) spaces which combined linearly with the sequence of unconditionality parameters (𝒌𝑚)∞ 𝑚=1 determines the growth of (𝑳𝑚)∞ 𝑚=1. Multiple theoretical applications and computational examples complement our study.en
dc.description.sponsorshipF. Albiac acknowledges the support of the Spanish Ministry for Science and Innovation underGrant PID2019-107701GB-I00 for Operators, lattices, and structure of Banach spaces. F. Albiac and J. L. Ansorena acknowledge the support of the Spanish Ministry for Science, Innovation, and Universities under Grant PGC2018-095366-B-I00 for Análisis Vectorial, Multilineal y Aproximacion. P. M. Berna acknowledges the support of the Spanish Ministry for Science and Innovation under Grant PID2019-105599GB-I00 and the Grant 20906/PI/18 from Fundacion Seneca (Region de Murcia, Spain). Open Access funding provided by Universidad Publica de Navarraen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationAlbiac, F., Ansorena, J. L., Berná, P. M. (2022) New parameters and Lebesgue-type estimates in greedy approximation. Forum of Mathematics, Sigma, 10, 1-39. https://doi.org/10.1017/fms.2022.102.en
dc.identifier.doi10.1017/fms.2022.102
dc.identifier.issn2050-5094
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/45056
dc.language.isoengen
dc.publisherCambridge University Pressen
dc.relation.ispartofForum of Mathematics, Sigma, (2022), 10, 1-39en
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-107701GB-I00/ES/en
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-095366-B-I00/ES/en
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-105599GB-I00/ES/en
dc.relation.publisherversionhttps://doi.org/10.1017/fms.2022.102
dc.rights© The Author(s), 2022. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence.en
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectLebesgue constantsen
dc.subjectGreedy approximationen
dc.titleNew parameters and Lebesgue-type estimates in greedy approximationen
dc.typeArtículo / Artikuluaes
dc.typeinfo:eu-repo/semantics/articleen
dc.type.versionVersión publicada / Argitaratu den bertsioaes
dc.type.versioninfo:eu-repo/semantics/publishedVersionen
dspace.entity.typePublication
relation.isAuthorOfPublication3a702006-6ba1-41ba-93bf-ea9fee1de239
relation.isAuthorOfPublication.latestForDiscovery3a702006-6ba1-41ba-93bf-ea9fee1de239

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Albiac_NewParameters.pdf
Size:
679.32 KB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.78 KB
Format:
Item-specific license agreed to upon submission
Description: