Area and Perimeter Full Distribution Functions for Planar Poisson Line Processes and Voronoi Diagrams

Alexei Kanel-Belov, Mehdi Golafshan, Sergey Malev, Roman Yavich

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The challenges of examining random partitions of space are a significant class of problems in the theory of geometric transformations. Richard Miles calculated moments of areas and perimeters of any order (including expectation) of the random division of space in 1972. In the paper we calculate whole distribution function of random divisions of plane by Poisson line process. Our idea is to interpret a random polygon as the evolution of a segment along a moving straight line. In the plane example, the issue connected with an infinite number of parameters is overcome by considering a secant line. We shall take into account the following tasks: 1. On the plane, a random set of straight lines is provided, all shifts are equally likely, and the distribution law is of the form F(φ). What is the area distribution of the partition’s components? 2. On the plane, a random set of points is marked. Each point A has an associated area of attraction, which is the collection of points in the plane to which the point A is the nearest of the designated ones. In the first problem, the density of moved sections adjacent to the line allows for the expression of the balancing ratio in kinetic form. Similarly, one can write the perimeters’ kinetic equations. We will demonstrate how to reduce these equations to the Riccati equation using the Laplace transformation in this paper. In fact, we formulate the distribution function of area and perimeter and the joint distribution of them with a Poisson line process based on differential equations. Also, for Voronoi diagrams. These are the main search results (see Theorems 1, 2, 3).

Original languageEnglish
Title of host publicationNew Trends in the Applications of Differential Equations in Sciences - NTADES 2023
EditorsAngela Slavova
PublisherSpringer
Pages161-167
Number of pages7
ISBN (Print)9783031532115
DOIs
StatePublished - 2024
Externally publishedYes
Event10th International Conference on New Trends in the Applications of Differential Equations in Sciences, NTADES 2023 - Saints Constantine and Helena, Bulgaria
Duration: 17 Jul 202320 Jul 2023

Publication series

NameSpringer Proceedings in Mathematics and Statistics
Volume449
ISSN (Print)2194-1009
ISSN (Electronic)2194-1017

Conference

Conference10th International Conference on New Trends in the Applications of Differential Equations in Sciences, NTADES 2023
Country/TerritoryBulgaria
CitySaints Constantine and Helena
Period17/07/2320/07/23

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Keywords

  • Distribution theory
  • Integral geometry
  • ODE
  • PDE
  • Statistical geometry
  • Stochastic process

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