Spectral Graph Theory of the Hypercube

Abstract

In Graph Theory, every graph can be expressed in terms of certain real, symmetric matrices derived from the graph, most notably the adjacency or Laplacian matrices. Spectral Graph Theory focuses on the set of eigenvalues and eigenvectors, called the spectrum, of these matrices and provides several interesting areas of study. One of these is the inverse eigenvalue problem of a graph, which tries to determine information about the possible eigenvalues of the real symmetric matrices whose pattern of nonzero entries is described by a given graph. A second area is the energy of a graph, defined to be the sum of the absolute values of the eigenvalues of the adjacency matrix of that graph.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2008
Accession Number
ADA493796

Entities

People

  • Stanley F. Florkowski Iii

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algebra
  • Applied Mathematics
  • Computer Science
  • Eigenvalues
  • Eigenvectors
  • Equations
  • Graph Theory
  • Identities
  • Linear Algebra
  • Mathematics
  • Matrix Theory
  • New York
  • Numbers
  • Schools
  • Spectra
  • United States
  • United States Military Academy

Fields of Study

  • Mathematics

Readers

  • Graph Algorithms and Convex Optimization.
  • Linear Algebra