A note about cospectral graphs for the adjacency and normalized Laplacian matrices

From MaRDI portal
Publication:3564201

DOI10.1080/03081080902722741zbMath1187.05046OpenAlexW2009878382MaRDI QIDQ3564201

Steve Butler

Publication date: 2 June 2010

Published in: Linear and Multilinear Algebra (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03081080902722741




Related Items (21)

Graphs whose characteristic and permanental polynomials have coefficients of the same magnitudeOn the construction of cospectral graphs for the adjacency and the normalized Laplacian matricesThe normalized Laplacians, degree-Kirchhoff index and the spanning trees of linear hexagonal chainsA graph theoretical approach to states and unitary operationsOn the construction of cospectral nonisomorphic bipartite graphsThe normalized Laplacians on both \(k\)-triangle graph and \(k\)-quadrilateral graph with their applicationsThe spectrum and metric dimension of Indu–Bala product of graphsGraphs determined by their generalized characteristic polynomialsA geometric construction of isospectral magnetic graphsDifferentiate data by higher-order structuresSpectra of partitioned matrices and the \(\mathcal{M}\)-join of graphsOn the normalized Laplacians with some classical parameters involving graph transformationsOn the Laplacian, signless Laplacian and normalized Laplacian characteristic polynomials of a graphThe characteristic polynomial of a generalized join graphGraphs whose normalized Laplacian has three eigenvaluesComparing large-scale graphs based on quantum probability theoryThe normalized Laplacian polynomial of rooted product of graphsCalculating the normalized Laplacian spectrum and the number of spanning trees of linear pentagonal chainsA generalization of Fiedler's lemma and the spectra of \(H\)-join of graphsDomination and Spectral Graph TheoryConstructing cospectral bipartite graphs




Cites Work




This page was built for publication: A note about cospectral graphs for the adjacency and normalized Laplacian matrices