On Hyperbolic Sombor index of graphs
Kinkar Chandra Das, Sultan Ahmad
TL;DR
The paper addresses inaccuracies in the initial development of the Hyperbolic Sombor index $HSO(G)$ and provides corrected equality conditions and proofs, extending the analysis to trees, unicyclic, and bicyclic graphs. It establishes tight extremal bounds for unicyclic and bicyclic graphs, identifies exact extremal graphs such as $C_n$, $S'_n$, $C'_n$, $C''_n$, $S''_n$, and develops general edge-based bounds linking $HSO(G)$ to the Sombor index $SO(G)$ via $1/\Delta$ and $1/\delta$. Additionally, it derives universal bounds in terms of $m$, $\Delta$, and $\delta$, and proposes open problems and a conjecture regarding the maximality of $HSO$ for certain graph classes. These results deepen the theoretical understanding of $HSO$ and provide precise tools for evaluating degree-based hyperbolic descriptors in chemical and network graphs. $HSO(G)$ remains a promising descriptor for structural analysis, with corrected foundations enabling robust applications and further research.
Abstract
The Hyperbolic Sombor index $HSO(G)$ of a graph $G$ is defined as \begin{align*} HSO(G) = \sum_{v_iv_j \in E(G)} \frac{\sqrt{d_i^{2}+d_j^{2}}}{\min\{d_i,d_j\}}, \end{align*} where $d_i$ and $d_j$ denote the degrees of the vertices $v_i$ and $v_j$, respectively. This index was recently introduced by Barman et al. [Geometric approach to degree-based topological index: Hyperbolic Sombor index, MATCH Commun. Math. Comput. Chem. 95 (2026) 63-94], who explored some of its mathematical properties and applications. However, their work contains several inaccuracies that require correction. In this paper, we first identify and rectify the errors found in the earlier study. We then extend the investigation by establishing new mathematical results for the Hyperbolic Sombor index across various classes of graphs, including trees, unicyclic graphs, and bicyclic graphs. In addition, we derive some lower and upper bounds for $HSO(G)$ in terms of the number of edges, maximum degree and minimum degree, and we characterize the graphs that attain these bounds. Finally, we conclude the paper by outlining potential directions for future research in this emerging area.
