Robustness in the Poisson Boolean model with convex grains
We study the Poisson Boolean model where the grains are random convex bodies with a rotation-invariant distribution. We say that a grain distribution is dense if the union of the grains covers the entire space and robust if the union of the grains has an unbounded connected component irrespective of...
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Zusammenfassung: | We study the Poisson Boolean model where the grains are random convex bodies
with a rotation-invariant distribution. We say that a grain distribution is
dense if the union of the grains covers the entire space and robust if the
union of the grains has an unbounded connected component irrespective of the
intensity of the underlying Poisson process. If the grains are balls of random
radius, then density and robustness are equivalent, but in general this is not
the case. We show that in any dimension $d\ge2$ there are grain distributions
that are robust but not dense, and give general criteria for density,
robustness and non-robustness of a grain distribution. We give examples which
show that our criteria are sharp in many instances. |
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DOI: | 10.48550/arxiv.2410.13366 |