Random coverage from within with variable radii, and Johnson-Mehl cover times

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Authors: Mathew D. Penrose, Frankie Higgs
Cited by: 0
References: 19

Abstract

Abstract Given a compact planar region A , let $$\varvec{\tau _{A}}$$ τ A be the (random) time it takes for the Johnson-Mehl tessellation of A to be complete, i.e. the time for A to be fully covered by a spatial birth-growth process in A with seeds arriving as a unit-intensity Poisson point process in $$\varvec{A \times [0,\infty )}$$ A × [ 0 , ∞ ) , where upon arrival each seed grows at unit rate in all directions. We show that if $$\varvec{\partial A}$$ ∂ A is smooth or polygonal then $$\mathbb {P}[\varvec{\pi \tau _{sA}^3 - 6 \log s - 4 \log \log s \le x}]$$ P [ π τ sA 3 - 6 log s - 4 log log s ≤ x ] tends to exp $$\varvec{(-(\frac{81}{4\pi })^{1/3} |A|e^{-x/3} - (\frac{9}{2\pi ^2})^{1/3} |\partial {\textbf {A}}| e^{-x/6})}$$ ( - ( 81 4 π ) 1 / 3 | A | e - x / 3 - ( 9 2 π 2 ) 1 / 3 | ∂ A | e - x / 6 ) in the large- s limit; the second term in the exponent is due to boundary effects, the importance of which was not recognized in earlier work on this model. We present similar results in higher dimensions (where boundary effects dominate). These results are derived using new results on the asymptotic probability of covering A with a high-intensity spherical Poisson Boolean model restricted to A with grains having iid small random radii, which generalize recent work of the first author that dealt only with grains of deterministic radius.

Fields of Study & Subjects

Computational Geometry and Mesh Generation

Publication details

Journal / source
Extremes
Publisher
Springer Science and Business Media LLC
Volume
29
Issue
3
Pages
445–494
Publication date
25 May 2026
Language
EN