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arXiv 2601.01482math.CO
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不含(-1,1)特征值的次立方图

Subcubic graphs without eigenvalues in $(-1, 1)$

Nankai University(南开大学);Arizona State University(亚利桑那州立大学)

Shenwei Huang, Zilin Jiang

AI总结:

本文研究了不含(-1,1)特征值的连通次立方图,确定了两个无限族和七个孤立实例,并证明(-1,1)是连通次立方图的最大谱间隙集。

摘要:

Guo和Royle最近对连通立方图没有邻接矩阵特征值在开区间(-1,1)中进行了分类,并提出了扩展到最大度不超过3的图的问题。他们对次立方情况进行了初步研究,展示了无限族和孤立例子。本文完成此研究,确定所有非立方的连通次立方图没有(-1,1)特征值。证明恰好有两个无限族和七个孤立例子出现,且每个孤立图顶点数不超过18。作为结果,证明(-1,1)是连通次立方图的最大谱间隙集。Guo和Royle回答Kollár和Sanark的问题,证明了连通立方图的这一最大性。本文结果将此结论推广到次立方情形。

英文摘要:

Guo and Royle recently classified the connected cubic graphs without eigenvalues of their adjacency matrix in the open interval $(-1, 1)$, and raised the question of extending their classification to graphs of maximum degree at most $3$. Together with their cubic classification, our result fully answers this question by characterizing all connected subcubic graphs that are not cubic and have no eigenvalues in $(-1,1)$. We show that exactly two infinite families and seven sporadic examples occur, and that every sporadic graph has at most $18$ vertices. To obtain this complete classification, we build a bridge between spectral graph theory and structural graph theory for graphs whose adjacency matrices, after selected diagonal entries are changed to $-1$, have smallest eigenvalue at least $-2$. This generalizes the classical theorem of Cameron, Goethals, Seidel and Shult for graphs with smallest eigenvalue at least $-2$. As a consequence, we prove that $(-1,1)$ is a maximal spectral gap set for the class of connected subcubic graphs. Guo and Royle, answering a question of Kollár and Sarnak, established this maximality for connected cubic graphs. Our result generalizes their conclusion to the subcubic setting.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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