Welcome to hypercone.com on July 6 2009.
This is an internet experiment running to monitor browsing habbits of individuals through wikipedia contents.

Spectral graph theory

From Wikipedia, the free encyclopedia

Jump to: navigation, search

In mathematics, spectral graph theory is the study of properties of a graph in relationship to the characteristic polynomial, eigenvalues, and eigenvectors of its adjacency matrix or Laplacian matrix.

An undirected graph has a symmetric adjacency matrix and therefore has real eigenvalues (the multiset of which is called the graph's spectrum) and a complete set of orthonormal eigenvectors.

While the adjacency matrix depends on the vertex labeling, its spectrum is a graph invariant.

Two graphs are called isospectral or cospectral if the adjacency matrices of the graphs have equal multisets of eigenvalues.

Isospectral graphs need not be isomorphic, but isomorphic graphs are always isospectral. The smallest pair of nonisomorphic cospectral undirected graphs is {K1,4, C4 + K1}, comprising the 5-vertex star and the graph union of the 4-vertex cycle and the single-vertex graph, as reported by Collatz and Sinogowitz[1][2] in 1957.

Contents

[edit] History outline

Spectral graph theory emerged in the 1950s and 1960s. Besides graph theoretic research on the relationship between structural and spectral properties of graphs, another major source was research in quantum chemistry, but the connections between these two lines of work were not discovered until much later.[3] The 1980 monograph Spectra of Graphs[4] by Cvetkovic, Doob, and Sachs summarised nearly all research to date in the area. In 1988 it was updated by the survey Recent Results in the Theory of Graph Spectra[5] The 3rd edition of Spectra of Graphs (1995) contains a summary of the further recent contributions to the subject.[3]

[edit] Facts

Almost all trees are cospectral, i.e., the share of cospectral trees on n vertices tends to 1 as n grows. [6]

[edit] See also

[edit] References

  1. ^ Collatz, L. and Sinogowitz, U. "Spektren endlicher Grafen." Abh. Math. Sem. Univ. Hamburg 21, 63-77, 1957.
  2. ^ Weistein, Eric W., "Cospectral Graphs" from MathWorld.
  3. ^ a b Eigenspaces of Graphs, by Dragoš Cvetković, Peter Rowlinson, Slobodan Simić (1997) ISBN 0521573521
  4. ^ Dragoš M. Cvetković, Michael Doob, Horst Sachs, Spectra of Graphs (1980)
  5. ^ Dragoš M. Cvetković, Michael Doob, Horst Sachs, A. Torgasev, Recent Results in the Theory of Graph Spectra (Annals of Disrete mathematics series, North-Holland) (1988) ISBN 0444703616
  6. ^ Schwenk, A. J. "Almost All Trees are Cospectral" In: New Directions in the Theory of Graphs (F. Harary, Ed.), Academic Press, New York, 1973, pp. 275-307.

[edit] External links

Personal tools
Languages

Visit joltnews for the latest headlines
Visit bloit.com for company information
Geed Media does computer consulting on long island.
This page viewed times. See Logs