Poisson hyperplane tessellation: Asymptotic probabilities of the zero and typical cells

Bitte benutzen Sie diese Kennung, um auf die Ressource zu verweisen: https://repositorium.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-2017021715545
Titel: Poisson hyperplane tessellation: Asymptotic probabilities of the zero and typical cells
Autor(en): Bonnet, Gilles
Erstgutachter: Prof. Dr. Matthias Reitzner
Zweitgutachter: Prof. Dr. Ilya Molchanov
Zusammenfassung: We consider the distribution of the zero and typical cells of a (homogeneous) Poisson hyperplane tessellation. We give a direct proof adapted to our setting of the well known Complementary Theorem. We provide sharp bounds for the tail distribution of the number of facets. We also improve existing bounds for the tail distribution of size measurements of the cells, such as the volume or the mean width. We improve known results about the generalised D.G. Kendall's problem, which asks about the shape of large cells. We also show that cells with many facets cannot be close to a lower dimensional convex body. We tacle the much less study problem of the number of facets and the shape of small cells. In order to obtain the results above we also develop some purely geometric tools, in particular we give new results concerning the polytopal approximation of an elongated convex body.
URL: https://repositorium.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-2017021715545
Schlagworte: Stochastic Geometry; Convex Geometry; tessellation; mosaic; random tessellation; Poisson hyperplane tessellation; Zero cell; Typical cell; Asymptotic probabilities; D.G. Kendall's problem; Complementary theorem; polytopal approximation; delta-net; elongated convex bodies; geometric integral transformation formulae; facets; Phi-Content; center; shape; tail distribution; small cells
Erscheinungsdatum: 17-Feb-2017
Enthalten in den Sammlungen:FB06 - E-Dissertationen

Dateien zu dieser Ressource:
Datei Beschreibung GrößeFormat 
thesis_bonnet.pdfPräsentationsformat853,28 kBAdobe PDFMiniaturbild
Öffnen/Anzeigen


Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons Creative Commons