Penrose–Ong conjecture on central limit theorems for the on-line nearest-neighbour graph
Penrose–Ong conjecture on central limit theorems for the on-line nearest-neighbour graph
Let and denote the centered total power-weighted edge lengths of the on-line nearest-neighbour graph on, respectively, uniform points and a Poisson point process of intensity in the unit cube. For and , let and be the constants in the variance limits and central limit theorems of Proposition 3.1.
Penrose–Ong conjecture. Suppose . The limit theorems for , namely the variance limits and the corresponding Gaussian convergence for the binomial and Poisson models, are also valid for
This extends the known central limit theorem range from to the full predicted Gaussian regime . The cited results establish the theorem below and non-Gaussian limiting behavior above , while the intermediate range remains open in the supplied text.
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Primary source
Andrew R. Wade, “Asymptotic theory for the multidimensional random on-line nearest-neighbour graph”, arXiv:math/0702414 (2008).
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