Sharp thresholds, hitting times and the power of choice for random geometric graphs
Dawid Ignasiak, Lyuben Lichev

TL;DR
This paper investigates threshold phenomena and the power of choice in random geometric graphs, demonstrating faster attainment of connectivity properties with offline decision-making and analyzing limitations in online settings.
Contribution
It extends hitting time results from Erdős-Rényi graphs to geometric graphs and introduces a geometric power of choice model with new efficiency results.
Findings
Offline 2-choice can achieve connectivity twice as fast as 1-choice.
Properties like $k$-connectivity and Hamiltonicity are attainable with fewer points.
Online 2-choice does not significantly accelerate property attainment.
Abstract
We consider a random geometric graph process where random points are embedded consecutively in the -dimensional unit torus , and every two points at distance at most form an edge. As , we confirm that well-known hitting time results for -connectivity (with fixed) and Hamiltonicity in the Erd\H{o}s-R\'enyi graph process also hold for the considered geometric analogue. Moreover, we exhibit a sort of probabilistic monotonicity for each of these properties. We also study a geometric analogue of the power of choice where, at each step, an agent is given two random points sampled independently and uniformly from and must add exactly one of them to the already constructed point set. When the agent is allowed to make their choice with the knowledge of the entire sequence of random points (offline 2-choice), we show that…
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Taxonomy
TopicsTopological and Geometric Data Analysis · Computational Geometry and Mesh Generation · Stochastic processes and statistical mechanics
