Skip to main content Accessibility help
×
Hostname: page-component-8448b6f56d-c47g7 Total loading time: 0 Render date: 2024-04-19T22:20:59.085Z Has data issue: false hasContentIssue false

5 - Star complements

Published online by Cambridge University Press:  04 August 2010

Dragoš Cvetkovic
Affiliation:
Univerzitet u Beogradu, Yugoslavia
Peter Rowlinson
Affiliation:
University of Stirling
Slobodan Simic
Affiliation:
Univerzitet u Beogradu, Yugoslavia
Get access

Summary

Let G be a graph of order n with μ as an eigenvalue of multiplicity k. In Section 5.1, we define a star complement for μ in terms of the orthogonal projection of IRn onto the eigenspace ε(μ). We show that the star complements for μ in G are just the induced subgraphs of G of order nk that do not have μ as an eigenvalue, and we derive the properties of star complements required in this book. (For a survey of star complements, see [Row5].) In Section 5.2 we introduce the notion of a foundation for the root multigraph of a generalized line graph: it is used to characterize star complements for —2 in generalized line graphs, and at the same time to describe the eigenspace of —2. In Section 5.3, we show that a graph is exceptional if and only if it has an exceptional star complement for-2. By interlacing, such a star complement has least eigenvalue greater than —2 and hence is one of 573 known graphs (see Table A2 and Theorem 2.3.20). It follows that the exceptional graphs can be constructed, as extensions of star complements, without recourse to root systems. In Section 5.4 we show how certain graphs with least eigenvalue —2 can be characterized by star complements for-2. Finally, in Section 5.5 we discuss the role of switching in the construction of exceptional graphs from star complements.

Basic properties

Let G be a graph with vertex set V(G) = {1, …, n} and adjacency matrix A. Let {e1, …, en} be the standard orthonormal basis of IRn and P be the matrix which represents the orthogonal projection of IRn onto the eigenspace ε(μ) of A with respect to {e1, …, en}.

Type
Chapter
Information
Spectral Generalizations of Line Graphs
On Graphs with Least Eigenvalue -2
, pp. 112 - 138
Publisher: Cambridge University Press
Print publication year: 2004

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×