English

Nonpositive Eigenvalues of the Adjacency Matrix and Lower Bounds for Laplacian Eigenvalues

Combinatorics 2012-05-29 v3

Abstract

Let NPO(k)NPO(k) be the smallest number nn such that the adjacency matrix of any undirected graph with nn vertices or more has at least kk nonpositive eigenvalues. We show that NPO(k)NPO(k) is well-defined and prove that the values of NPO(k)NPO(k) for k=1,2,3,4,5k=1,2,3,4,5 are 1,3,6,10,161,3,6,10,16 respectively. In addition, we prove that for all k5k \geq 5, R(k,k+1)NPO(k)>TkR(k,k+1) \ge NPO(k) > T_k, in which R(k,k+1)R(k,k+1) is the Ramsey number for kk and k+1k+1, and TkT_k is the kthk^{th} triangular number. This implies new lower bounds for eigenvalues of Laplacian matrices: the kk-th largest eigenvalue is bounded from below by the NPO(k)NPO(k)-th largest degree, which generalizes some prior results.

Keywords

Cite

@article{arxiv.1108.4810,
  title  = {Nonpositive Eigenvalues of the Adjacency Matrix and Lower Bounds for Laplacian Eigenvalues},
  author = {Zachary B. Charles and Miriam Farber and Charles R. Johnson and Lee Kennedy-Shaffer},
  journal= {arXiv preprint arXiv:1108.4810},
  year   = {2012}
}

Comments

23 pages, 12 figures