Extremal eigenvalues of graphs embedded on surfaces
Mingqing Zhai, Longfei Fang, Huiqiu Lin

TL;DR
This paper establishes tight bounds for the spectral radius of graphs embedded on surfaces with a given Euler genus, characterizes extremal graphs, and confirms a long-standing conjecture for planar graphs.
Contribution
It provides improved bounds on spectral radius for surface-embedded graphs and characterizes extremal graphs, advancing spectral graph theory on topological surfaces.
Findings
Tight bounds for spectral radius depending on surface genus
Characterization of extremal graphs as joins of specific graphs
Confirmation of a conjecture for planar extremal graphs
Abstract
Graph theory on surfaces extends classical graph structures to topological surfaces, providing a theoretical foundation for characterizing the embedding properties of complex networks in constrained spaces. The study of bounding the spectral radius of graphs on surfaces has a rich history that dates back to the 1990s. In this paper, we establish tight bounds for graphs of order that are embeddable on a surface with Euler genus . Specifically, if graph achieves the maximum spectral radius, then \begin{equation*} \begin{array}{ll} \frac32\!+\!\sqrt{2n\!-\!\frac{15}4}\!+\!\frac{3\gamma\!-\!1}{n}<\rho(G)<\frac32\!+\!\sqrt{2n\!-\!\frac{15}4}\!+\!\frac{3\gamma\!-\!0.95}{n}, \end{array} \end{equation*} which improves upon the earlier bound by Ellingham and Zha [JCTB, 2000]. Furthermore, we prove that any extremal graph is obtained…
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Taxonomy
TopicsGraph theory and applications · Complex Network Analysis Techniques · Advanced Graph Neural Networks
