Abstract
We study the asymptotic behavior of the maximum interpoint distance of random points in a d-dimensional set with a unique diameter and a smooth boundary at the poles. Instead of investigating only a fixed number of n points as n tends to infinity, we consider the much more general setting in which the random points are the supports of appropriately defined Poisson processes. The main result covers the case of uniformly distributed points within a d-dimensional ellipsoid with a unique major axis. Moreover, two generalizations of the main result are established, for example a limit law for the maximum interpoint distance of random points from a Pearson type II distribution.
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Acknowledgements
This paper is based on the author’s doctoral dissertation written under the guidance of Prof. Dr. Norbert Henze. The author wishes to thank Norbert Henze for bringing this problem to his attention and for helpful discussions. Thanks go to the referees for carefully reading the manuscript and for many helpful comments and suggestions.
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Appendix
Appendix
Proof of Lemma 1
We only consider i = ℓ.It is clear that Hℓissymmetric, since sℓis a twice continuously differentiable function. From Condition 1 we know that
Writing \(O_{t} := \left \{ \widetilde z \in \mathbb {R}^{d-1}: |\widetilde z|<2a \right \}\) and defining the mapping \(t: O_{t} \to \mathbb {R}, \widetilde z \mapsto a - \sqrt {4a^{2} - {z_{2}^{2}}- \ldots -{z_{d}^{2}}}\), the boundary of B2a((a, 0))in {z1 < a}can be parameterized as a hypersurface via
For j, k ∈ {2,…, d}, we obtain
Hence, ∇t(0) = 0, and the Hessian of t at 0 is given by \(H_{t} := \frac {1}{2a}\mathrm {I}_{d-1} \). So, the second-order Taylor series expansion of t at this point has the form
where \(R_{t} (\widetilde z) = o\left (|\widetilde z|^{2} \right )\). Furthermore, we have
where \(R_{\ell } (\widetilde z) = o\left (|\widetilde z|^{2} \right )\). In view of Eq. 28 and Condition 2, we have \(t(\widetilde z) <-a + s^{\ell }(\widetilde z)\) for each \(\widetilde z \in O_{\ell } \backslash \left \{ \mathbf {0} \right \}\) (observe that Eq. 28 ensures Oℓ ⊂ Ot). Using Eqs. 29 and 30, this inequality can be rewritten as
and hence
for each \(\widetilde z \in O_{\ell }\backslash \left \{ \mathbf {0} \right \}\). Since \(R_{\ell } (\widetilde z)-R_{t} (\widetilde z) = o\left (|\widetilde z|^{2} \right )\), this inequality shows ∇sℓ(0) = 0 and that the matrix Hℓ − Ht is positive definite. Remembering \(H_{t} = \frac {1}{2a}\mathrm {I}_{d-1} \), Hℓ has to be positive definite, too, and all eigenvalues of Hℓ have to be larger than 1/2a. □
The following lemma shows that inequality (5) is sufficient for Condition 3:
Lemma 8
If Eq. 5 holds true, then Condition3 is fulfilled.
Proof
Inequality (5) ensures the existence of an η∗ ∈ (0, 1) with
Applying (9) (with Hℓ and Hr replaced with the matrices Dℓ and Dr, respectively), using (31) and some obvious transformations yield
Consequently, Condition 3 holds with η = η∗, see Eq. 8. □
As mentioned before, Eq. 5 is only sufficient for the unique diameter close to the poles, not necessary. See Example 3.13 in Schrempp (2017) for an illustration of a set with unique diameter between (−a, 0) and (a, 0) for which inequality (5) is not fulfilled.
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Schrempp, M. Limit laws for the diameter of a set of random points from a distribution supported by a smoothly bounded set. Extremes 22, 167–191 (2019). https://doi.org/10.1007/s10687-018-0309-9
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DOI: https://doi.org/10.1007/s10687-018-0309-9
Keywords
- Maximum interpoint distance
- Geometric extreme value theory
- Poisson process
- Uniform distribution in an ellipsoid
- Pearson type II distribution