Strengthened upper bound on the third eigenvalue of graphs

TL;DR

This paper proves a strengthened upper bound on the third eigenvalue of a graph's adjacency matrix, using a novel graph operation and eigenvector analysis to confirm a conjectured inequality.

Contribution

It provides the first complete proof of a conjectured eigenvalue bound for k=3, introducing a new graph operation and structural analysis techniques.

Findings

Confirmed the upper bound for the third eigenvalue with a rigorous proof.

Introduced a new graph operation that aids in eigenvalue analysis.

Showed that certain extremal graphs cannot exist under the given bounds.

Abstract

Let $G$ be a graph on $n \ge 3$ vertices, whose adjacency matrix has eigenvalues $\lambda_1 \ge \lambda_2 \ge \dots \ge \lambda_n$. The problem of bounding $\lambda_k$ in terms of $n$ was first proposed by Hong and was studied by Nikiforov, who demonstrated strong upper and lower bounds for arbitrary $k$. Nikiforov also claimed a strengthened upper bound for $k \ge 3$, namely that $\frac{\lambda_k}{n} < \frac{1}{2\sqrt{k-1}} - \varepsilon_k$ for some positive $\varepsilon_k$, but omitted the proof due to its length. In this paper, we give a proof of this bound for $k = 3$. We achieve this by instead looking at $\lambda_{n-1} + \lambda_n$ and introducing a new graph operation which provides structure to minimising graphs, including $\omega \le 3$ and $\chi \le 4$. Then we reduce the hypothetical worst case to a graph that is $n/2$-regular and invariant under said operation. By considering a series of inequalities on the restricted eigenvector components, we prove that a sequence of graphs with $\frac{\lambda_{n-1} + \lambda_n}{n}$ converging to $-\frac{\sqrt{2}}{2}$ cannot exist.