Asymptotic geometry of high-density smooth-grained Boolean models in bounded domains

The purpose of the paper is to study the asymptotic geometry of a smooth-grained Boolean model ( X [ t ] ) t ≥0 restricted to a bounded domain as the intensity parameter t goes to ∞. Our approach is based on investigating the asymptotic properties as t → ∞ of the random sets X [ t ; β ] , β ≥0, defi...

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Veröffentlicht in:Advances in applied probability 2003-12, Vol.35 (4), p.913-936
1. Verfasser: Schreiber, Tomasz
Format: Artikel
Sprache:eng
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Zusammenfassung:The purpose of the paper is to study the asymptotic geometry of a smooth-grained Boolean model ( X [ t ] ) t ≥0 restricted to a bounded domain as the intensity parameter t goes to ∞. Our approach is based on investigating the asymptotic properties as t → ∞ of the random sets X [ t ; β ] , β ≥0, defined as the Gibbsian modifications of X [ t ] with the Hamiltonian given by βtμ (·), where μ is a certain normalized measure on the setting space. We show that our model exhibits a phase transition at a certain critical value of the inverse temperature β and we prove that at higher temperatures the behaviour of X [ t;β ] is qualitatively very similar to that of X [ t ] but it becomes essentially different in the low-temperature region. From these facts we derive information about the asymptotic properties of the original process X [ t ] . The results obtained include large- and moderate-deviation principles. We conclude the paper with an example application of our methods to analyse the asymptotic moderate-deviation properties of convex hulls of large uniform samples on a multidimensional ball. To translate the above problem to the Boolean model setting considered we use an appropriate representation of convex sets in terms of their support functions.
ISSN:0001-8678
1475-6064
DOI:10.1017/S0001867800012660