Corrections to and improvements on results from "The Laplacian spectrum of large graphs sampled from graphons"
Federica Garin, Paolo Frasca, Renato Vizuete

TL;DR
This paper corrects and enhances previous results on the Laplacian spectrum of large graphs sampled from graphons, providing improved bounds and extending applicability to more general graphon models.
Contribution
It corrects a key proof in prior work and introduces a new concentration lemma that broadens the scope of spectral results for sampled graphs.
Findings
Corrected proof of Proposition 4.
Extended results to graphs with deterministic latent variables.
Improved bounds on Laplacian eigenvalues.
Abstract
In this note we correct the proof of Proposition 4 in our paper "The Laplacian Spectrum of Large Graphs Sampled from Graphons" (arXiv:2004.09177) and we improve several results therein. To this end, we prove a new concentration lemma about degrees and Laplacian eigenvalues. This lemma allows us to improve several bounds and to dispense from assuming that the graphon is bounded away from zero in several results. This extension leads, in particular, to correct the proof of Proposition 4. Additionally, we extend Proposition 4 to graphs that are sampled from graphons by using deterministic latent variables.
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Taxonomy
TopicsGraph theory and applications · Complex Network Analysis Techniques · Spectral Theory in Mathematical Physics
