The Matching Process and Independent Process in Random Regular Graphs and Hypergraphs
Deepak Bal, Patrick Bennett

TL;DR
This paper analyzes two processes on sparse random graphs and hypergraphs with fixed degree sequences, simplifying the differential equations approach to determine the size of matchings and independent sets.
Contribution
It introduces a simplified differential equations framework for analyzing matching and independent processes in sparse random graphs and hypergraphs.
Findings
Reduced the systems of differential equations needed for analysis
Simplified the expression for the final size of matchings and independent sets
Applied Warnke's theorem to streamline the analysis
Abstract
In this note, we analyze two random greedy processes on sparse random graphs and hypergraphs with a given degree sequence. First we analyze the matching process, which builds a set of disjoint edges one edge at a time; then we analyze the independent process, which builds an independent set of vertices one vertex at a time. We use the differential equations method and apply a general theorem of Warnke. Our main contribution is to significantly reduce the associated systems of differential equations and simplify the expression for the final size of the matching or independent set.
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Taxonomy
TopicsComplex Network Analysis Techniques · Graph theory and applications · Opinion Dynamics and Social Influence
