Realization of Extremal Spectral Data by Pentadiagonal Matrices

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dc.contributor.authorH. Pickmann-Soto
dc.contributor.authorSilvia Finol Pérez
dc.contributor.authorCharlie Lozano
dc.contributor.authorHans Nina
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T14:28:27Z
dc.date.available2026-03-22T14:28:27Z
dc.date.issued2024
dc.descriptionCitaciones: 1
dc.description.abstractIn this paper, we address the extremal inverse eigenvalue problem for pentadiagonal matrices. We provide sufficient conditions for their existence and realizability through new constructions that consider spectral data of its leading principal submatrices. Finally, we present some examples generated from the algorithmic procedures derived from our results.
dc.identifier.doi10.3390/math12142198
dc.identifier.urihttps://doi.org/10.3390/math12142198
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/46720
dc.language.isoen
dc.publisherMultidisciplinary Digital Publishing Institute
dc.relation.ispartofMathematics
dc.sourceUniversity of Tarapacá
dc.subjectRealizability
dc.subjectRealization (probability)
dc.subjectEigenvalues and eigenvectors
dc.subjectMathematics
dc.subjectInverse
dc.subjectPrincipal (computer security)
dc.subjectBlock matrix
dc.subjectAlgebra over a field
dc.subjectTridiagonal matrix
dc.subjectApplied mathematics
dc.titleRealization of Extremal Spectral Data by Pentadiagonal Matrices
dc.typearticle

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