Some Classical Problems in Random Geometry
| Autor: | Pierre Calka |
|---|---|
| Přispěvatelé: | Laboratoire de Mathématiques Raphaël Salem (LMRS), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU)-Centre National de la Recherche Scientifique (CNRS), David Coupier |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Computer science
Geometric probability 010102 general mathematics Polytope Mathematical proof 01 natural sciences MSC 60D05 (60-01 60-02 60K35) Integral geometry Domain (software engineering) Recreational mathematics [MATH.MATH-PR]Mathematics [math]/Probability [math.PR] 010104 statistics & probability Calculus Point (geometry) 0101 mathematics Stochastic geometry |
| Zdroj: | Stochastic geometry Stochastic geometry, 2237, pp.1-43, 2019, Lecture Notes in Mathematics, 978-3-030-13546-1. ⟨10.1007/978-3-030-13547-8_1⟩ Stochastic Geometry ISBN: 9783030135461 |
| DOI: | 10.1007/978-3-030-13547-8_1⟩ |
| Popis: | International audience; This chapter is intended as a first introduction to selected topics in random geometry. It aims at showing how classical questions from recreational mathematics can lead to the modern theory of a mathematical domain at the interface of probability and geometry. Indeed, in each of the four sections, the starting point is a historical practical problem from geometric probability. We show that the solution of the problem, if any, and the underlying discussion are the gateway to the very rich and active domain of integral and stochastic geometry, which we describe at a basic level. In particular, we explain how to connect Buffon’s needle problem to integral geometry, Bertrand’s paradox to random tessellations, Sylvester’s four-point problem to random polytopes and Jeffrey’s bicycle wheel problem to random coverings. The results and proofs selected here have been especially chosen for non-specialist readers. They do not require much prerequisite knowledge on stochastic geometry but nevertheless comprise many of the main results on these models. |
| Databáze: | OpenAIRE |
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