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June 2017 On the capacity functional of the infinite cluster of a Boolean model
Günter Last, Mathew D. Penrose, Sergei Zuyev
Ann. Appl. Probab. 27(3): 1678-1701 (June 2017). DOI: 10.1214/16-AAP1241


Consider a Boolean model in $\mathbb{R}^{d}$ with balls of random, bounded radii with distribution $F_{0}$, centered at the points of a Poisson process of intensity $t>0$. The capacity functional of the infinite cluster $Z_{\infty}$ is given by $\theta_{L}(t)=\mathbb{P}\{Z_{\infty}\cap L\ne\varnothing \}$, defined for each compact $L\subset\mathbb{R}^{d}$.

We prove for any fixed $L$ and $F_{0}$ that $\theta_{L}(t)$ is infinitely differentiable in $t$, except at the critical value $t_{c}$; we give a Margulis–Russo-type formula for the derivatives. More generally, allowing the distribution $F_{0}$ to vary and viewing $\theta_{L}$ as a function of the measure $F:=tF_{0}$, we show that it is infinitely differentiable in all directions with respect to the measure $F$ in the supercritical region of the cone of positive measures on a bounded interval.

We also prove that $\theta_{L}(\cdot)$ grows at least linearly at the critical value. This implies that the critical exponent known as $\beta$ is at most 1 (if it exists) for this model. Along the way, we extend a result of Tanemura [J. Appl. Probab. 30 (1993) 382–396], on regularity of the supercritical Boolean model in $d\geq3$ with fixed-radius balls, to the case with bounded random radii.


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Günter Last. Mathew D. Penrose. Sergei Zuyev. "On the capacity functional of the infinite cluster of a Boolean model." Ann. Appl. Probab. 27 (3) 1678 - 1701, June 2017.


Received: 1 January 2016; Revised: 1 July 2016; Published: June 2017
First available in Project Euclid: 19 July 2017

zbMATH: 1373.60160
MathSciNet: MR3678482
Digital Object Identifier: 10.1214/16-AAP1241

Primary: 60K35
Secondary: 60D05

Rights: Copyright © 2017 Institute of Mathematical Statistics


Vol.27 • No. 3 • June 2017
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