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dc.contributor.authorGarcía-Ferrero, María Ángeles
dc.contributor.authorGómez-Ullate Oteiza, David 
dc.contributor.authorMilson, Robert
dc.contributor.otherIngeniería Informáticaes_ES
dc.date.accessioned2021-04-28T10:20:08Z
dc.date.available2021-04-28T10:20:08Z
dc.date.issued2021
dc.identifier.issn1815-0659
dc.identifier.urihttp://hdl.handle.net/10498/24755
dc.description.abstractExceptional orthogonal polynomials are families of orthogonal polynomials that arise as solutions of Sturm-Liouville eigenvalue problems. They generalize the classical families of Hermite, Laguerre, and Jacobi polynomials by allowing for polynomial sequences that miss a finite number of "exceptional" degrees. In this paper we introduce a new construction of multi-parameter exceptional Legendre polynomials by considering the isospectral deformation of the classical Legendre operator. Using confluent Darboux transformations and a technique from inverse scattering theory, we obtain a fully explicit description of the operators and polynomials in question. The main novelty of the paper is the novel construction that allows for exceptional polynomial families with an arbitrary number of real parameters.es_ES
dc.description.sponsorshipMAGF would like to thank the Max-Planck-Institute for Mathematics in the Sciences, Leipzig (Germany), where some of her work took place. DGU acknowledges support from the Spanish MICINN under grants PGC2018-096504-B-C33 and RTI2018-100754-B-I00 and the European Union under the 2014-2020 ERDF Operational Programme and by the Department of Economy, Knowledge, Business and University of the Regional Government of Andalusia (project FEDER-UCA18-108393).es_ES
dc.formatapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherNATL ACAD SCI UKRAINEes_ES
dc.sourceSIGMA 17 (2021), 016, 19 pages_ES
dc.subjectexceptional orthogonal polynomialses_ES
dc.subjectDarboux transformationses_ES
dc.subjectisospectral deformationses_ES
dc.titleExceptional Legendre Polynomials and Confluent Darboux Transformationses_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.3842/SIGMA.2021.016
dc.relation.projectIDMinisterio de Ciencia e Innovación. Gobierno de España [PGC2018-096504-B-C33]es_ES
dc.relation.projectIDMinisterio de Ciencia e Innovación. Gobierno de España [RTI2018-100754-B-I00]es_ES
dc.relation.projectIDConsejería de Economía, Conocimiento, Empresas y Universidad.Junta de Andalucía [FEDER-UCA18-108393]es_ES


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