The scaling limit of random cubic planar graphs
Year: 2024
Type: article
Abstract: We study the random cubic planar graph with an even number of vertices. We show that the Brownian map arises as Gromov–Hausdorff–Prokhorov scaling limit of as tends to infinity, after rescaling distances by for a specific constant . This is the first time a model of random graphs that are not embedded into the plane is shown to converge to the Brownian map. Our approach features a new method that allows us to relate distances on random graphs to first‐passage percolation distances on their 3‐connected core.
DOI: 10.1112/jlms.70018
Author: Benedikt Stufler
Institution: TU Wien
Language: English
Subfield: Mathematical Physics
Field: Mathematics
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,780
Funder: Austrian Science Fund
Award: Limits of random networks
OpenAlex ID: W4404076680
