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dc.contributor.author
Antezana, Jorge Abel
dc.contributor.author
García, María Guadalupe
dc.date.available
2020-12-03T13:12:29Z
dc.date.issued
2020-12
dc.identifier.citation
Antezana, Jorge Abel; García, María Guadalupe; Model subspaces techniques to study Fourier expansions in L^2 spaces associated to singular measures; Academic Press Inc Elsevier Science; Journal of Functional Analysis; 279; 10; 12-2020; 1-20
dc.identifier.issn
0022-1236
dc.identifier.uri
http://hdl.handle.net/11336/119698
dc.description.abstract
Let μ be a probability measure on T that is singular with respect to the Haar measure. In this paper we study Fourier expansions in L2(T,μ) using techniques from the theory of model subspaces of the Hardy space. Since the sequence of monomials {zn}n∈N is effective in L2(T,μ), it has a Parseval frame associated via the Kaczmarz algorithm. Our first main goal is to identify the aforementioned frame with boundary values of the frame Pφ(zn) for the model subspace H(φ)=H2⊖φH2, where Pφ is the orthogonal projection from the Hardy space H2 onto H(φ). The study of Fourier expansions in L2(T,μ) also leads to consider positive kernels in the Hardy space. Our second main goal is to study the set of measures μ which reproduce a kernel contained in a model subspace. We completely characterize this set when the kernel is the reproducing kernel of a model subspace, and we study the consequences of this characterization.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Academic Press Inc Elsevier Science
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
FOURIER EXPANSIONS
dc.subject
KACZMARZ ALGORITHM
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MODEL SUBSPACES
dc.subject
PARSEVAL FRAMES
dc.subject.classification
Matemática Pura
dc.subject.classification
Matemáticas
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CIENCIAS NATURALES Y EXACTAS
dc.title
Model subspaces techniques to study Fourier expansions in L^2 spaces associated to singular measures
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2020-12-02T20:11:43Z
dc.journal.volume
279
dc.journal.number
10
dc.journal.pagination
1-20
dc.journal.pais
Estados Unidos
dc.description.fil
Fil: Antezana, Jorge Abel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Argentino de Matemática Alberto Calderón; Argentina. Universidad Nacional de la Plata. Facultad de Cs.exactas. Centro de Matematica de la Plata.; Argentina
dc.description.fil
Fil: García, María Guadalupe. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Saavedra 15. Instituto Argentino de Matemática Alberto Calderón; Argentina. Universidad Nacional de la Plata. Facultad de Cs.exactas. Centro de Matematica de la Plata.; Argentina
dc.journal.title
Journal of Functional Analysis
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S0022123620302688
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.jfa.2020.108725
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/arxiv/https://arxiv.org/abs/1907.08876
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