On the spectra and eigenspaces of the universal adjacency matrices of arbitrary lifts of graphs

dc.contributor.authorDalfó Simó, Cristina
dc.contributor.authorFiol Mora, Miquel Àngel
dc.contributor.authorPavlíková, Sona
dc.contributor.authorSiran, Josef
dc.contributor.groupUniversitat Politècnica de Catalunya. COMBGRAPH - Combinatòria, Teoria de Grafs i Aplicacions
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Matemàtiques
dc.date.accessioned2022-05-05T10:48:26Z
dc.date.available2023-02-19T01:27:39Z
dc.date.issued2022-02-19
dc.descriptionThis is an Accepted Manuscript of an article published by Taylor & Francis Group in Linear and multilinear algebra on 19 Febrer 2022, available online at: http://www.tandfonline.com/10.1080/03081087.2022.2042174.
dc.description.abstractThe universal adjacency matrix U of a graph G, with adjacency matrix A, is a linear combination of A, the diagonal matrix D of vertex degrees, the identity matrix I, and the all-1 matrix J with real coefficients, that is, U=c1A+c2D+c3I+c4J, with ci¿R and c1¿0. Thus, in particular cases, U may be the adjacency matrix, the Laplacian, the signless Laplacian, and the Seidel matrix. In this paper, we develop a method for determining the universal spectra and bases of all the corresponding eigenspaces of arbitrary lifts of graphs (regular or not). As an example, the method is applied to give an efficient algorithm to determine the characteristic polynomial of the Laplacian matrix of the symmetric squares of odd cycles, together with closed formulas for some of their eigenvalues.
dc.description.peerreviewedPeer Reviewed
dc.description.sponsorshipThe first author has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 734922.
dc.description.versionPostprint (author's final draft)
dc.identifier.citationDalfo, C. [et al.]. On the spectra and eigenspaces of the universal adjacency matrices of arbitrary lifts of graphs. "Linear and multilinear algebra", 2023, vol. 71, núm. 5, p. 693-710.
dc.identifier.doi10.1080/03081087.2022.2042174
dc.identifier.issn0308-1087
dc.identifier.urihttps://hdl.handle.net/2117/366862
dc.language.isoeng
dc.publisherTaylor & Francis
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/734922/EU/Combinatorics of Networks and Computation/CONNECT
dc.relation.publisherversionhttps://www.tandfonline.com/doi/abs/10.1080/03081087.2022.2042174?journalCode=glma20
dc.rights.accessOpen Access
dc.rights.licensenameAttribution-NonCommercial-NoDerivs 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Matemàtica discreta::Combinatòria
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Àlgebra::Àlgebra lineal i multilineal
dc.subject.amsClassificació AMS::05 Combinatorics::05C Graph theory
dc.subject.amsClassificació AMS::15 Linear and multilinear algebra; matrix theory
dc.subject.lcshGraph theory
dc.subject.lcshAlgebras, Linear
dc.subject.lemacGrafs, Teoria de
dc.subject.lemacÀlgebra lineal
dc.subject.otherGraph
dc.subject.otherLift
dc.subject.otherUniversal adjacency matrix
dc.subject.otherEigen
dc.subject.otherSpace
dc.subject.otherSymmetric square
dc.titleOn the spectra and eigenspaces of the universal adjacency matrices of arbitrary lifts of graphs
dc.typeArticle
dspace.entity.typePublication
local.citation.authorDalfo, C.; Fiol, M.; Pavlíková, S.; Siran, J.
local.citation.endingPage710
local.citation.number5
local.citation.publicationNameLinear and multilinear algebra
local.citation.startingPage693
local.citation.volume71
local.identifier.drac32824196

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