A characterization of the smallest eigenvalue of a graph

  • Authors:
  • Madhav Desai;Vasant Rao

  • Affiliations:
  • Coordinated Science Laboratory and the Department of Electrical Engineering University of Illinois at Urbana—Champaign Urbana, Illinois;Coordinated Science Laboratory and the Department of Electrical Engineering University of Illinois at Urbana—Champaign Urbana, Illinois

  • Venue:
  • Journal of Graph Theory
  • Year:
  • 1994

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Abstract

It is well known that the smallest eigenvalue of the adjacency matrix of a connected d-regular graph is at least − d and is strictly greater than − d if the graph is not bipartite. More generally, for any connected graph G = (V, E), consider the matrix Q = D + A where D is the diagonal matrix of degrees in the graph G and A is the adjacency matrix of G. Then Q is positive semidefinite, and the smallest eigenvalue of Q is 0 if and only if G is bipartite. We will study the separation of this eigenvalue from 0 in terms of the following measure of nonbipartiteness of G. For any S ⊆ V, we denote by emin(S) the minimum number of edges that need to be removed from the induced subgraph on S to make it bipartite. Also, we denote by cut(S) the set of edges with one end in S and the other in V − S. We define the parameter Ψ as ***image*** The parameter Ψ is a measure of the nonbipartiteness of the graph G. We will show that the smallest eigenvalue of Q is bounded above and below by functions of Ψ. For d-regular graphs, this characterizes the separation of the smallest eigenvalue of the adjacency matrix from −d. These results can be easily extended to weighted graphs. © 1994 Wiley Periodicals, Inc.