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Journal ArticleDOI

Spectral ordering of trees with small index

TLDR
In this article, the authors consider trees with index in the real interval (2, 2 + 5 ) and their ordering with respect to the index, and obtain the first 8 trees of even order with largest index.
About
This article is published in Linear Algebra and its Applications.The article was published on 2019-08-15. It has received 9 citations till now. The article focuses on the topics: Adjacency matrix & Spectral graph theory.

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Citations
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Journal ArticleDOI

Most Laplacian eigenvalues of a tree are small

TL;DR: It is shown that the number of Laplacian eigenvalues greater than the average degree of a tree having $n$ vertices is at most $\lfloor\frac{n}{2} \rfloor$.
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Most Laplacian eigenvalues of a tree are small

TL;DR: In this article, it was shown that the number of Laplacian eigenvalues greater than the average degree of a tree having n vertices is at most Ω(n 1/2 )
Journal ArticleDOI

Applications of rational difference equations to spectral graph theory

TL;DR: In this article, a general class of recurrence relations appeared in the application of matrix diagonalization procedure and they were studied in several problems involving eigenvalues of graphs, and the results of these relations were applied to several graph problems.
Journal ArticleDOI

Applications of rational difference equations to spectral graph theory

TL;DR: In this article, a general class of recurrence relations that appear in the application of a matrix diagonalization procedure are studied and a general closed formula and analytical properties of these relations are determined.
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Spectral ordering and 2-switch transformations

TL;DR: In this article, the problem of ordering trees with the same degree sequence by their spectral radii is addressed, and the main contribution is to determine a total ordering of a particular family by their indices according to a given parameter related to sizes in the tree.
References
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Book

Spectra of graphs : theory and application

TL;DR: The Spectrum and the Group of Automorphisms as discussed by the authors have been used extensively in Graph Spectra Techniques in Graph Theory and Combinatory Applications in Chemistry an Physics. But they have not yet been applied to Graph Spectral Biblgraphy.
Book

Eigenspaces of graphs

TL;DR: In this paper, the background in graph spectra is described as a background of a graph, and the graph angles and angles of graphs are modeled as Eigenvectors of graphs.
Journal ArticleDOI

The largest eigenvalue of a graph: A survey

TL;DR: A survey of results concerning the largest eigenvalue (or index) of a graph can be found in this paper, where inequalities of the index, graphs with bounded index, ordering graphs by their indices, graph operations and modifications, random graphs, and applications.
Book

Spectral Radius of Graphs

TL;DR: Graphs are naturally associated with matrices, as matrices provide a simple way of representing graphs in computer memory, and entries of the principal eigenvector of adjacency matrices have been used in the study of complex networks.
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