Locating Eigenvalues of Perturbed Laplacian Matrices of Trees

Autores

DOI:

https://doi.org/10.5540/tema.2017.018.03.479

Palavras-chave:

Perturbed Laplacian matrix, eigenvalue location, trees

Resumo

We give a linear time algorithm to compute the number of eigenvalues of any perturbedLaplacian matrix of a tree in a given real interval. The algorithm can be applied to weightedor unweighted trees. Using our method we characterize the trees that have up to $5$ distincteigenvalues with respect to a family of perturbed Laplacian matrices that includes the adjacencyand normalized Laplacian matrices as special cases, among others.

Biografia do Autor

Rodrigo Orsini Braga, Universidade do Vale do Rio dos Sinos

Doutor em Matemática Aplicada (UFRGS, 2015)

Referências

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R.O. Braga, R.R. Del-Vecchio, V.M. Rodrigues, V. Trevisan, Trees with 4 or 5 distinct normalized Laplacian eigenvalues, {em Linear Algebra and its Applications}, {bf 471} (2015), 615--635.

F.R.K. Chung, ``Spectral Graph Theory'', American Math. Soc., Providence, 1997.

E. Fritscher, C. Hoppen, I. Rocha, V. Trevisan, On the sum of the Laplacian eigenvalues of a tree, {em Linear Algebra and its Applications}, {bf 435} (2011), 371--399.

R. Horn, C.R. Johnson, ``Matrix Analysis'', Cambridge University Press, 1985.

D.P. Jacobs, V. Trevisan, Locating the eigenvalues of trees, {em Linear Algebra and its Applications}, {bf 434} (2011), 81--88.

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Publicado

2018-01-10

Como Citar

Braga, R. O., & Rodrigues, V. M. (2018). Locating Eigenvalues of Perturbed Laplacian Matrices of Trees. Trends in Computational and Applied Mathematics, 18(3), 479. https://doi.org/10.5540/tema.2017.018.03.479

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