Spectral properties of cographs and $P_5$-free graphs
Ebrahim Ghorbani

TL;DR
This paper characterizes the spectral properties of cographs and $P_5$-free graphs, establishing eigenvalue interval restrictions and exploring eigenvalue multiplicities related to graph structure.
Contribution
It provides a characterization of cographs via eigenvalue intervals, introduces a new partial order to study eigenvalue multiplicities, and proves spectral bounds for bipartite $P_5$-free graphs.
Findings
A graph is a cograph iff no induced subgraph has eigenvalues in (-1,0).
Eigenvalue multiplicities in cographs are bounded by those of 0 and -1.
Bipartite $P_5$-free graphs have no eigenvalues in (-1/2,0) and (0,1/2).
Abstract
A cograph is a simple graph which contains no path on 4 vertices as an induced subgraph. We consider the eigenvalues of adjacency matrices of cographs and prove that a graph is a cograph if and only if no induced subgraph of has an eigenvalue in the interval . It is also shown that the multiplicity of any eigenvalue of a cograph does not exceed the sum of multiplicities of and as eigenvalues of . We introduce a partial order on the vertex set of graphs in terms of inclusions among the open and closed neighborhoods of vertices, and conjecture that the multiplicity of any eigenvalue of a cograph except for does not exceed the maximum size of an antichain with respect to that partial order. In two extreme cases (in particular for threshold graphs), the conjecture is shown to be true. Finally, we give a simple proof for the result that…
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Taxonomy
TopicsGraph theory and applications · Finite Group Theory Research · Matrix Theory and Algorithms
