Graph limits of random unlabelled $k$-trees
Emma Yu Jin, Benedikt Stufler

TL;DR
This paper investigates the asymptotic geometric shapes of large random unlabelled $k$-trees using advanced combinatorial and probabilistic methods, providing insights into their global and local limits.
Contribution
It introduces a novel combination of colouring and cycle pointing techniques to analyze the limits of unlabelled $k$-trees, extending previous methods.
Findings
Identification of Gromov-Hausdorff-Prokhorov limits
Description of Benjamini-Schramm local limits
New combinatorial approach for unlabelled $k$-trees
Abstract
We study random unlabelled -dimensional trees by combining the colouring approach by Gainer-Dewar and Gessel (2014) with the cycle pointing method by Bodirsky, Fusy, Kang and Vigerske (2011). Our main applications are Gromov-Hausdorff-Prokhorov and Benjamini-Schramm limits, that describe their asymptotic geometric shape on a global and local scale as the number of hedra tends to infinity.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Topological and Geometric Data Analysis · Mathematical Dynamics and Fractals
