English

Support of Closed Walks and Second Eigenvalue Multiplicity of the Normalized Adjacency Matrix

Combinatorics 2023-06-19 v3 Discrete Mathematics Metric Geometry Probability Spectral Theory

Abstract

We show that the multiplicity of the second normalized adjacency matrix eigenvalue of any connected graph of maximum degree Δ\Delta is bounded by O(nΔ7/5/log1/5o(1)n)O(n \Delta^{7/5}/\log^{1/5-o(1)}n) for any Δ\Delta, and by O(nlog1/2d/log1/4o(1)n)O(n\log^{1/2}d/\log^{1/4-o(1)}n) for simple dd-regular graphs when dlog1/4nd\ge \log^{1/4}n. In fact, the same bounds hold for the number of eigenvalues in any interval of width λ2/logΔ1o(1)n\lambda_2/\log_\Delta^{1-o(1)}n containing the second eigenvalue λ2\lambda_2. The main ingredient in the proof is a polynomial (in kk) lower bound on the typical support of a closed random walk of length 2k2k in any connected graph, which in turn relies on new lower bounds for the entries of the Perron eigenvector of submatrices of the normalized adjacency matrix.

Keywords

Cite

@article{arxiv.2007.12819,
  title  = {Support of Closed Walks and Second Eigenvalue Multiplicity of the Normalized Adjacency Matrix},
  author = {Theo McKenzie and Peter M. R. Rasmussen and Nikhil Srivastava},
  journal= {arXiv preprint arXiv:2007.12819},
  year   = {2023}
}

Comments

A previous version of this paper proved the main result for d-regular graphs. The current version proves a more general result for the normalized adjacency matrix of bounded degree graphs. New version fixes an incorrect citation in the proof of Proposition 5.2. 24pp, 3 figures