A sharp upper bound on the third adjacency eigenvalue of a graph

A sharp upper bound on the third adjacency eigenvalue of a graph
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For a graph $G$ of order $n$, let $$ λ_1(G)\ge \cdots \ge λ_n(G) $$ be the eigenvalues of its adjacency matrix. We prove that every graph $G$ on $n\ge 3$ vertices satisfies $$ λ_3(G)\le \frac{n}{3}-1, $$ thereby solving a problem of Nikiforov. The bound is best possible whenever $3\mid n$. Our proof is derived from a more general matrix result: if $A=(a_{ij})$ is a real symmetric matrix of order $n$ with $0\le a_{ij}\le 1$ for all off-diagonal entries and $a_{ii}\ge 0$ for all $i$, then $$ λ_{n-1}(A)+λ_n(A)\ge -\frac{2n}{3}. $$ This in particular confirms a conjecture of Leonida and Li.


💡 Research Summary

The paper resolves a long‑standing open problem concerning the third adjacency eigenvalue of a simple graph. For any graph $G$ on $n\ge 3$ vertices, the authors prove the sharp bound
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