This book is the first comprehensive presentation of a central topic of stochastic geometry: random mosaics that are generated by Poisson processes of hyperplanes. It thus connects a basic notion from probability theory, Poisson processes, with a fundamental object of geometry. The independence properties of Poisson processes and the long-range influence of hyperplanes lead to a wide range of phenomena which are of interest from both a geometric and a probabilistic point of view. A Poisson hyperplane tessellation generates many random polytopes, also a much-studied object of stochastic geometry. The book offers a variety of different perspectives and covers in detail all aspects studied in the original literature. The work will be useful to graduate students (advanced students in a Master program, PhD students), and professional mathematicians. The book can also serve as a reference for researchers in fields of physics, computer science, economics or engineering.

The first comprehensive treatment of Poisson hyperplane tessellations Considers all aspects of a beautiful and accessible subject Proceeds from elementary foundations to most recent active research

Autorentext

Prof. Dr. Daniel Hug (1965-) obtained his Ph.D. in Mathematics (1994) and Habilitation (2000) at Univ. Freiburg. He was an assistant Professor at TU Vienna (2000), trained and acted as a High School Teacher (2005-2007), was Professor in Duisburg-Essen (2007), Associate Professor in Karlsruhe (2007-2011), and has been a Professor in Karlsruhe since 2011. Prof. Dr. Wolfgang Weil (1945-2018) obtained his Ph.D. in Mathematics at Univ. Frankfurt/Main in 1971 and his Habilitation in Freiburg (1976). He was an Assistant Professor in Berlin and Freiburg, Akad. Rat in Freiburg (1978-1980), and was a Professor in Karlsruhe from 1980. He was a Guest Professor in Norman, Oklahoma, USA (1985 and 1990).

Inhalt

• 1 Notation.- 2 Hyperplane and particle processes.- 3 Distribution-independent density relations.- 4 Poisson hyperplane processes.- 5 Auxiliary functionals and bodies.- 6 Zero cell and typical cell.- 7 Mixing and ergodicity.- 8 Observations inside a window.- 9 Central limit theorems.- 10 Palm distributions and related constructions.- 11 Typical faces and weighted faces.- 12 Large cells and faces.- 13 Cells with a given number of facets.- 14 Small cells.- 15 The K-cell under increasing intensities.- 16 Isotropic zero cells.- 17 Functionals of Poisson processes and applications.- 18 Appendix: Some auxiliary results.