EOM: 66 Eigenspaces of Graphs (Encyclopedia of Mathematics and its Applications, Series Number 66)

Cvetkovic, Dragos

ISBN 10: 0521057183 / ISBN 13: 9780521057189

Published by Cambridge University Press, 2008

About this Item

This book describes the spectral theory of finite graphs. Series: Encyclopedia of Mathematics and Its Applications. Num Pages: 276 pages, 77 b/w illus. 4 tables. BIC Classification: PBV. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 15. Weight in Grams: 390. . 2008. Reissue. paperback. . . . . Books ship from the US and Ireland.

Seller Inventory # V9780521057189

Bibliographic Details

• Title: EOM: 66 Eigenspaces of Graphs (Encyclopedia of Mathematics and its Applications, Series Number 66)
• Publisher: Cambridge University Press
• Publication Date: 2008
• Language: English
• ISBN 10: 0521057183
• ISBN 13: 9780521057189
• Binding: Soft cover
• Condition: New

About this title

Synopsis

Graph theory is an important branch of contemporary combinatorial mathematics. By describing recent results in algebraic graph theory and demonstrating how linear algebra can be used to tackle graph-theoretical problems, the authors provide new techniques for specialists in graph theory. The book explains how the spectral theory of finite graphs can be strengthened by exploiting properties of the eigenspaces of adjacency matrices associated with a graph. The extension of spectral techniques proceeds at three levels: using eigenvectors associated with an arbitrary labeling of graph vertices, using geometrical invariants of eigenspaces such as graph angles and main angles, and introducing certain kinds of canonical eigenvectors by means of star partitions and star bases. Current research on these topics is part of a wider effort to forge closer links between algebra and combinatorics. Problems of graph reconstruction and identification are used to illustrate the importance of graph angles and star partitions in relation to graph structure. Specialists in graph theory will welcome this treatment of important new research.

From the Back Cover

This book describes how the spectral theory of finite graphs can be strengthened by exploiting properties of the eigenspaces of adjacency matrices associated with a graph. The extension of spectral techniques proceeds at three levels: using eigenvectors associated with an arbitrary labelling of graph vertices, using geometrical invariants of eigenspaces such as graph angles and main angles, and introducing certain kinds of canonical eigenvectors by means of star partitions and star bases. Current research on these topics may be seen as part of a wider effort to forge closer links between algebra and combinatorics (in particular between linear algebra and graph theory).