Publication | Open Access
Weak laws of large numbers in geometric probability
177
Citations
25
References
2003
Year
EngineeringGraph TheoryRandom GraphProbabilistic Graph TheoryEntropyStructural Graph TheoryIntegrable ProbabilityProbability TheoryComputer ScienceDiscrete MathematicsPoint ProcessCombinatorial OptimizationCoupling ArgumentWeak LawsMetric Graph TheoryMarked Point ProcessesStochastic Geometry
Using a coupling argument, we establish a general weak law of large numbers for functionals of binomial point processes in d-dimensional space, with a limit that depends explicitly on the (possibly nonuniform) density of the point process. The general result is applied to the minimal spanning tree, the k-nearest neighbors graph, the Voronoi graph and the sphere of influence graph. Functionals of interest include total edge length with arbitrary weighting, number of vertices of specified degree and number of components. We also obtain weak laws of large numbers functionals of marked point processes, including statistics of Boolean models.
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