Spectral gap and embedded trees for the Laplacian of the Erd\H{o}s-R\'enyi graph
Raphael Ducatez, Renaud Rivier

TL;DR
This paper analyzes the spectral properties of Erdős-Rényi graphs, revealing that the smallest non-zero Laplacian eigenvalue is determined by embedded line subgraphs of size t, with high probability.
Contribution
It provides a precise asymptotic description of the smallest non-zero Laplacian eigenvalue in Erdős-Rényi graphs based on embedded line structures.
Findings
Smallest non-zero eigenvalue converges to a specific value related to line subgraphs.
Eigenvalue linked to a line of size t connected by a single edge.
Results hold with high probability for specified degree ranges.
Abstract
For the Erd\H{o}s-R\'enyi graph of size with mean degree where , with high probability the smallest non zero eigenvalue of the Laplacian is equal to . This eigenvalue arises from a small subgraph isomorphic to a line of size linked to the giant connected component by only one edge.
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Taxonomy
TopicsSpectral Theory in Mathematical Physics · advanced mathematical theories · Graph theory and applications
