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dc.contributor.authorKnutsen, Helge
dc.date.accessioned2023-03-14T07:16:27Z
dc.date.available2023-03-14T07:16:27Z
dc.date.created2022-04-27T11:10:00Z
dc.date.issued2022
dc.identifier.citationJournal of Functional Analysis. 2022, 282 (9), .en_US
dc.identifier.issn0022-1236
dc.identifier.urihttps://hdl.handle.net/11250/3058031
dc.description.abstractWe study a version of the fractal uncertainty principle in the joint time-frequency representation. Namely, we consider Daubechies' localization operator projecting onto spherically symmetric n-iterate Cantor sets with an arbitrary base and alphabet . We derive an upper bound asymptote up to a multiplicative constant for the operator norm in terms of the base M and the alphabet size of the Cantor set. For any fixed base and alphabet size, we show that there are Cantor sets such that the asymptote is optimal. In particular, the asymptote is precise for mid-third Cantor set, which was studied in part I [19]. Nonetheless, this does not extend to every Cantor set as we provide examples where the optimal asymptote is not achieved.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleDaubechies' time-frequency localization operator on Cantor type sets IIen_US
dc.title.alternativeDaubechies' time-frequency localization operator on Cantor type sets IIen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber0en_US
dc.source.volume282en_US
dc.source.journalJournal of Functional Analysisen_US
dc.source.issue9en_US
dc.identifier.doi10.1016/j.jfa.2022.109412
dc.identifier.cristin2019412
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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