Bound for the energy of graphs in terms of degrees and leaves
Octavio Arizmendi, Samuel Gurrola-Viramontes
TL;DR
This paper addresses the problem of bounding graph energy by exploiting local structural features—vertex degrees and leaves. It introduces a novel upper bound $\mathcal{E}(G) \le 2 e_{11} + \sum_{v \in V'} \sqrt{3 l(v) + d(v)}$ derived from a weighted-star decomposition and Ky-Fan's inequality, with a global version and comparisons to known bounds. The authors apply the bound to Barabasi–Albert trees and sparse Erdős–Rényi graphs, obtaining sharp asymptotic energy limits: for BA trees, $\limsup_{n\to\infty} \mathcal{E}(T_n)/n \le 0.95999$, and for ER graphs, $\limsup_{n\to\infty} \mathcal{E}(G_n)/n \le f(\lambda)$ with an explicit $f(\lambda)$, yielding hypoenergeticity when $\lambda \le 4/3$. These results provide tighter, structurally grounded energy estimates in sparse random graph regimes and illustrate the practical impact of leaf-degree features on spectral bounds.
Abstract
We provide a new upper bound for the energy of graphs in terms of degrees and number of leaves. We apply this formula to study the energy of Erdös-Rényi graphs and Barabasi-Albert trees.
