Estimating the critical threshold for stretched-out hyperbolic random connection models
Matthew Dickson

TL;DR
This paper investigates the asymptotic behavior of the critical threshold in stretched-out hyperbolic random connection models, using lace expansion techniques and analyzing spectral radii, with applications to Boolean disc and heat kernel RCMs.
Contribution
It introduces a model-dependent analysis of the critical threshold in hyperbolic RCMs, highlighting qualitative differences from Euclidean cases and applying the results to specific models.
Findings
Critical threshold behavior analyzed for hyperbolic RCMs
Lace expansion used to evaluate spectral radii
Applications to Boolean disc and heat kernel RCMs
Abstract
This paper examines the model-dependent asymptotic behaviour of the critical threshold intensity for stretched-out random connection models (RCMs) on hyperbolic spaces. The proof uses lace expansion arguments, but has notable qualitative differences to the Euclidean case in how it evaluates spectral radii. The result is applied to the Boolean disc RCM and a heat kernel RCM.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Geometry and complex manifolds · Theoretical and Computational Physics
