The strong spectral property for some families of unicyclic graphs
Sara Koljančić, Polona Oblak
TL;DR
The paper addresses the problem of classifying graphs whose symmetric off-diagonal patterns force the Strong Spectral Property (SSP) for all realizations, with implications for the inverse eigenvalue problem on graphs (IEP-$G$). It develops and utilizes the SSP verification matrix framework to analyze ${\mathcal{S}}(G)$ and related sets, enabling a structural, girth-based study of unicyclic graphs. The main contributions include a complete characterization of unicyclic graphs of girth $3$ in ${\mathcal{G}}^{\text{SSP}}$ and the demonstration that all tadpole graphs with girth up to $5$ belong to ${\mathcal{G}}^{\text{SSP}}$, while girth-$6$ tadpoles are not, along with detailed results for girth $4$ and $5$ and several explicit non-SSP examples to delimit the boundary. These results advance the sparse-graph classification of SSP graphs and clarify how cycle-bridge structures influence SSP, informing future investigations into higher girth cases and SSP-preserving operations.
Abstract
To find all the possible spectra of all real symmetric matrices whose off-diagonal pattern is prescribed by the adjacencies of a given graph $G$, the Strong Spectral Property turned out to be of crucial importance. In particular, we investigate the set ${\mathcal G}^{\text{SSP}}$ of all simple graphs $G$ with the property that each symmetric matrix of the pattern of $G$ has the Strong Spectral Property. In this paper, we completely characterize unicyclic graphs of girth three in ${\mathcal G}^{\text{SSP}}$. We prove that any tadpole graph of girth at most five is in ${\mathcal G}^{\text{SSP}}$ and we show that the same is not valid for girth six tadpole graphs.
