Penrose–Ong conjecture on central limit theorems for the on-line nearest-neighbour graph

From papers

Let \d835𝒪~d,\d835α(\d835𝒰n)\tilde{\d835𝒪}^{d,\d835α}(\d835𝒰_n) and \d835𝒪~d,\d835α(\d835𝒫λ)\tilde{\d835𝒪}^{d,\d835α}(\d835𝒫_λ) denote the centered total power-weighted edge lengths of the on-line nearest-neighbour graph on, respectively, nn uniform points and a Poisson point process of intensity λλ in the unit cube. For \d835\dN\d835\d\in\mathbb{N} and \d835α(0,d/4)\d835α\in(0,d/4), let \d835σd,α2\d835σ_{d,α}^2 and \d835δd,α2\d835δ_{d,α}^2 be the constants in the variance limits and central limit theorems of Proposition 3.1.

Penrose–Ong conjecture. Suppose dNd\in\mathbb{N}. The limit theorems for \d835α(0,d/4)\d835α\in(0,d/4), namely the variance limits and the corresponding Gaussian convergence for the binomial and Poisson models, are also valid for

α[d/4,d/2).α\in[d/4,d/2).

This extends the known central limit theorem range from \d835α(0,d/4)\d835α\in(0,d/4) to the full predicted Gaussian regime \d835α(0,d/2)\d835α\in(0,d/2). The cited results establish the theorem below d/4d/4 and non-Gaussian limiting behavior above dd, while the intermediate range remains open in the supplied text.

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Sources & referencesView supporting material

Primary source

Andrew R. Wade, “Asymptotic theory for the multidimensional random on-line nearest-neighbour graph”, arXiv:math/0702414 (2008).

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