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Infinite Random Geometric Graphs from the Hexagonal Metric
Author(s) -
Anthony Bonato,
Jeannette Janssen
Publication year - 2012
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
DOI - 10.1007/978-3-642-35926-2_2
Subject(s) - combinatorics , mathematics , metric (unit) , metric dimension , metric space , isomorphism (crystallography) , random graph , discrete mathematics , vertex (graph theory) , chordal graph , graph , operations management , chemistry , 1 planar graph , crystal structure , economics , crystallography
We consider countably infinite random geometric graphs, whose vertices are points in ℝ n , and edges are added independently with probability p ∈ (0,1) if the metric distance between the vertices is below a given threshold. Assume that the vertex set is randomly chosen and dense in ℝ n . We address the basic question: for what metrics is there a unique isomorphism type for graphs resulting from this random process? It was shown in [7] that a unique isomorphism type occurs for the L ∞ -metric for all n ≥ 1. The hexagonal metric is a convex polyhedral distance function on ℝ2, which has the property that its unit balls tile the plane, as in the case of the L ∞ -metric. We may view the hexagonal metric as an approximation of the Euclidean metric, and it arises in computational geometry. We show that the random process with the hexagonal metric does not lead to a unique isomorphism type.

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