On the capacity functional of the infinite cluster of a Boolean model
G\"unter Last, Mathew D. Penrose, Sergei Zuyev

TL;DR
This paper proves the infinite differentiability of the capacity functional of the infinite cluster in a Boolean model with random radii, except at the critical point, and explores its behavior near criticality.
Contribution
It establishes the differentiability of the capacity functional with respect to the intensity and radius distribution, extending previous results to models with random radii.
Findings
Capacity functional is infinitely differentiable in supercritical region.
Growth at critical point is at least linear.
Critical exponent β is at most 1.
Abstract
The original 2017 version of this paper, published in Ann. Appl. Probab., 27, 1678--1801, contains a major gap in the proofs. In the subsequent publication in Ann. Appl. Probab., 34, 3370--3374, 2024, we indicated how to fix this. For convenience of the reader, we here update the original paper to incorporate the suggested fix. Consider a Boolean model in with balls of random, bounded radii with distribution , centered at the points of a Poisson process of intensity . The capacity functional of the infinite cluster is given by , defined for each compact . We prove for any fixed and that is infinitely differentiable in , except at the critical value ; we give a Margulis-Russo type formula for the derivatives. More generally, allowing the distribution to vary…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Mathematical Dynamics and Fractals · Random Matrices and Applications
