A Linear Lower Bound for the Square Energy of Graphs
Saieed Akbari, Hitesh Kumar, Bojan Mohar, Shivaramakrishna Pragada

TL;DR
This paper establishes a linear lower bound for the square energy of graphs, proving that for any connected graph of order n, the square energy is at least three-quarters of n, advancing understanding of spectral graph properties.
Contribution
The paper proves a new linear lower bound for the square energy of graphs, specifically that s(G) ≥ 3n/4 for connected graphs of order n, which was previously unknown.
Findings
s(G) ≥ 3n/4 for all connected graphs of order n ≥ 4
s^+(G) and s^-(G) are additive over disjoint induced subgraphs
Confirms a conjecture that s(G) is linearly bounded in terms of n
Abstract
Let be a graph of order with eigenvalues . Let \[s^+(G)=\sum_{\lambda_i>0} \lambda_i^2, \qquad s^-(G)=\sum_{\lambda_i<0} \lambda_i^2.\] The smaller value, is called the \emph{square energy} of . In 2016, Elphick, Farber, Goldberg and Wocjan conjectured that for every connected graph of order , No linear bound for in terms of is known. Let be disjoint vertex-induced subgraphs of . In this note, we prove that \[s^+(G)\geq\sum_{i=1}^{k} s^+(H_i) \quad \text{ and } \quad s^-(G)\geq\sum_{i=1}^{k} s^-(H_i),\] which implies that for every connected graph of order .
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Taxonomy
TopicsGraph theory and applications · Graph Theory and Algorithms · Advanced Graph Theory Research
