Critical logarithmic central limit conjecture for the on-line nearest-neighbour graph
Critical logarithmic central limit conjecture for the on-line nearest-neighbour graph
Let be the total power-weighted edge length of the on-line nearest-neighbour graph on uniform points in the unit cube, and let denote the normal distribution with mean zero and variance . Write for convergence in distribution.
Critical logarithmic CLT conjecture. Let . There exists a constant such that
The conjecture concerns the critical exponent , which the surrounding results identify as exceptional. In particular, it predicts Gaussian fluctuations with logarithmic rather than polynomial normalization; the supplied text gives no resolution.
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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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