Maximum spectral gaps of graphs

The spread of a graph G is the difference λ 1 − λ n between the largest and smallest eigenvalues of its adjacency matrix. Breen, Riasanovsky, Tait and Urschel recently determined the graph on n vertices with maximum spread for sufficiently large n . In this paper, we study a related question of maximizing the difference λ i + 1 − λ n − j for a given pair ( i , j ) over all graphs on n vertices. We give upper bounds for all pairs ( i , j ) , exhibit an infinite family of pairs where the bound is tight, and show that for the pair ( 1 , 0 ) the extremal example is unique. These results contribute to a line of inquiry pioneered by Nikiforov aiming to maximize different linear combinations of eigenvalues over all graphs on n vertices.

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Publication Details

Journal
Linear Algebra and its Applications
Published
2025-10-24
DOI
https://doi.org/10.1016/j.laa.2025.10.024
Primary Topic
Graph theory and applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Maximum spectral gaps of graphs

Linyuan Lü, William Linz, George Brooks
Linear Algebra and its Applications
Graph theory and applications
article

Maximum spectral gaps of graphs

Linyuan Lü, William Linz, George Brooks
article en

Abstract

The spread of a graph G is the difference λ 1 − λ n between the largest and smallest eigenvalues of its adjacency matrix. Breen, Riasanovsky, Tait and Urschel recently determined the graph on n vertices with maximum spread for sufficiently large n . In this paper, we study a related question of maximizing the difference λ i + 1 − λ n − j for a given pair ( i , j ) over all graphs on n vertices. We give upper bounds for all pairs ( i , j ) , exhibit an infinite family of pairs where the bound is tight, and show that for the pair ( 1 , 0 ) the extremal example is unique. These results contribute to a line of inquiry pioneered by Nikiforov aiming to maximize different linear combinations of eigenvalues over all graphs on n vertices.

Linear Algebra and its ApplicationsVol. 730
University of South Carolina (US)
Openalex Percentile: Top 63%
Graph theory and applications
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