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Probabilidades sobre cuerpos convexos y cilindros

Authors: Santaló, Lluís;

Probabilidades sobre cuerpos convexos y cilindros

Abstract

H. GIGER and H. HADWIGER [1968] and R.E. MILES have recently considered different questions related to lattices of figures (convex bodies, r-flats or convex cylinders) in En . These lattices are assumed generated by N independent figures which intersect a fixed sphere S of radius R as R and N tends to -- in such a way that N/R tends to a positive constant, called the density of the lattice. In this paper we prove: a) The result does not change if instead of the sphere S we consider a convex body of arbitrary shape, which expands to the whole space En; this is a consequence of our Lemma 2. b) This result is applied to Theorem 1 (distribution function of the number of cylinders of a lattice which are intersected by a convex body K0 placed at random in space), which is essentially due to MILES with different proof. c) Theorem 2 refers to lattices of convex cylinders ir. E3 crossed by an arbitrary convex cylinder and we find the Distribution function of the number of intersected cylinders

Country
Spain
Related Organizations
Keywords

519, Probabilities, Cossos convexos, Probabilitats, Convex sets

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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