paper

Subcubic graphs without eigenvalues in

arXiv:2601.01482

Abstract

Guo and Royle recently classified the connected cubic graphs without eigenvalues of their adjacency matrix in the open interval , and raised the question of extending their classification to graphs of maximum degree at most . 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 . We show that exactly two infinite families and seven sporadic examples occur, and that every sporadic graph has at most 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 , have smallest eigenvalue at least . This generalizes the classical theorem of Cameron, Goethals, Seidel and Shult for graphs with smallest eigenvalue at least . As a consequence, we prove that 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.

arXiv comment34 pages, 8 figures and 54 diagrams; revised version gives purely structural formulations of the classification theorems and adds ancillary Lean formalization