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Global Wave Front Sets in Ultradifferentiable Classes

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Global Wave Front Sets in Ultradifferentiable Classes

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dc.contributor.author Asensio López, Vicente es_ES
dc.contributor.author Boiti, Chiara es_ES
dc.contributor.author Jornet Casanova, David es_ES
dc.contributor.author Oliaro, Alessandro es_ES
dc.date.accessioned 2023-03-06T19:00:47Z
dc.date.available 2023-03-06T19:00:47Z
dc.date.issued 2022-04 es_ES
dc.identifier.issn 1422-6383 es_ES
dc.identifier.uri http://hdl.handle.net/10251/192356
dc.description.abstract [EN] We introduce a global wave front set using Weyl quantizations of pseudodifferential operators of infinite order in the ultradifferentiable setting. We see that in many cases it coincides with the Gabor wave front set already studied by the last three authors of the present work. In this sense, we also extend, to the ultradifferentiable setting, previous work by Rodino and Wahlberg. Finally, we give applications to the study of propagation of singularities of pseudodifferential operators. es_ES
dc.description.sponsorship Funding for open access charge: CRUE-Universitat Politecnica de Valencia. es_ES
dc.language Inglés es_ES
dc.publisher Springer-Verlag es_ES
dc.relation.ispartof Results in Mathematics es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Gabor wave front set es_ES
dc.subject Global ultradifferentiable classes es_ES
dc.subject Gabor transform es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.title Global Wave Front Sets in Ultradifferentiable Classes es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s00025-021-01597-x es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-119457GB-I00/ES/METODOS DEL ANALISIS FUNCIONAL PARA LA TEORIA DE OPERADORES Y EL ANALISIS TIEMPO-FRECUENCIA/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//PROMETEO%2F2021%2F070//Análisis funcional, dinámica de operadores y aplicaciones/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//PROMETEO%2F2017%2F102//ANALISIS FUNCIONAL, TEORIA DE OPERADORES Y APLICACIONES./ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AGENCIA ESTATAL DE INVESTIGACION//MTM2016-76647-P//ANALISIS FUNCIONAL, TEORIA DE OPERADORES Y ANALISIS TIEMPO-FRECUENCIA/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GENERALITAT VALENCIANA//AICO%2F2021%2F170//OPERADORES EN ESPACIOS DE FUNCIONES ANALITICAS O DIFERENCIABLES/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MIUR//FFABR 2017/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/UNIFE//FAR2019/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/UNIFE//FAR2020/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Arquitectura - Escola Tècnica Superior d'Arquitectura es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Universitario de Matemática Pura y Aplicada - Institut Universitari de Matemàtica Pura i Aplicada es_ES
dc.description.bibliographicCitation Asensio López, V.; Boiti, C.; Jornet Casanova, D.; Oliaro, A. (2022). Global Wave Front Sets in Ultradifferentiable Classes. Results in Mathematics. 77(2):1-40. https://doi.org/10.1007/s00025-021-01597-x es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1007/s00025-021-01597-x es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 40 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 77 es_ES
dc.description.issue 2 es_ES
dc.relation.pasarela S\484230 es_ES
dc.contributor.funder GENERALITAT VALENCIANA es_ES
dc.contributor.funder AGENCIA ESTATAL DE INVESTIGACION es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.contributor.funder Università degli Studi di Ferrara es_ES
dc.contributor.funder Universitat Politècnica de València es_ES
dc.contributor.funder Istituto Nazionale di Alta Matematica "Francesco Severi" es_ES
dc.contributor.funder Ministero dell'Istruzione, dell'Università e della Ricerca es_ES
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