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 |
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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. |
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ISSN: | 0001-8678 1475-6064 |
DOI: | 10.1017/S0001867800012660 |