Cubic graphs with no eigenvalues in the interval (−1,1)

We give a complete characterization of the cubic graphs with no eigenvalues in the open interval ( − 1 , 1 ) . We first classify the connected cubic graphs with no eigenvalues in ( − 1 , 1 ) showing that there are two infinite families: one due to Guo and Mohar (2014) [7] and the other due to Kollár and Sarnak (2021) [12] , and 13 “sporadic” graphs on at most 32 vertices. Then a not necessarily connected cubic graph has no eigenvalues in ( − 1 , 1 ) if and only if the same is true for every connected component. This classification allows us to show that ( − 1 , 1 ) is a maximal spectral gap set for cubic graphs, thereby answering a question of Kollár and Sarnak (2021) [12] . The techniques used include examination of the small subgraphs that can appear in such a graph and an application of the classification of generalized line graphs.

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Publication Details

Journal
Journal of Combinatorial Theory Series B
Published
2025-11-05
DOI
https://doi.org/10.1016/j.jctb.2025.10.008
Primary Topic
Graph theory and applications
Type
article
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article

Cubic graphs with no eigenvalues in the interval (−1,1)

Gordon Royle, Krystal Guo
Journal of Combinatorial Theory Series B
Graph theory and applications
article

Cubic graphs with no eigenvalues in the interval (−1,1)

Gordon Royle, Krystal Guo
article en

Abstract

We give a complete characterization of the cubic graphs with no eigenvalues in the open interval ( − 1 , 1 ) . We first classify the connected cubic graphs with no eigenvalues in ( − 1 , 1 ) showing that there are two infinite families: one due to Guo and Mohar (2014) [7] and the other due to Kollár and Sarnak (2021) [12] , and 13 “sporadic” graphs on at most 32 vertices. Then a not necessarily connected cubic graph has no eigenvalues in ( − 1 , 1 ) if and only if the same is true for every connected component. This classification allows us to show that ( − 1 , 1 ) is a maximal spectral gap set for cubic graphs, thereby answering a question of Kollár and Sarnak (2021) [12] . The techniques used include examination of the small subgraphs that can appear in such a graph and an application of the classification of generalized line graphs.

Journal of Combinatorial Theory Series BVol. 176
The University of Western Australia (AU), University of Amsterdam (NL)
Openalex Percentile: Top 61%
Graph theory and applications
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