Speed of Convergence and Moderate Deviations of FPP on Random Geometric Graphs
Lucas R. de Lima, Daniel Valesin

TL;DR
This paper analyzes the speed of convergence and moderate deviations in first-passage percolation on random geometric graphs, focusing on properties like geodesic paths, fluctuations, and spanning trees in the supercritical regime.
Contribution
It provides a quantitative shape theorem and characterizes fluctuations and properties of spanning trees in first-passage percolation on random geometric graphs.
Findings
Established a shape theorem for FPP on random geometric graphs.
Characterized fluctuations and moderate deviations of geodesic paths.
Analyzed properties of spanning trees and semi-infinite paths.
Abstract
This study delves into first-passage percolation on random geometric graphs in the supercritical regime, where the graphs exhibit a unique infinite connected component. We investigate properties such as geodesic paths, moderate deviations, and fluctuations, aiming to establish a quantitative shape theorem. Furthermore, we examine fluctuations in geodesic paths and characterize the properties of spanning trees and their semi-infinite paths.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGraph Theory and Algorithms · Data Management and Algorithms · Advanced Graph Theory Research
