TY - GEN
T1 - Area and Perimeter Full Distribution Functions for Planar Poisson Line Processes and Voronoi Diagrams
AU - Kanel-Belov, Alexei
AU - Golafshan, Mehdi
AU - Malev, Sergey
AU - Yavich, Roman
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - 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).
AB - 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).
KW - Distribution theory
KW - Integral geometry
KW - ODE
KW - PDE
KW - Statistical geometry
KW - Stochastic process
UR - http://www.scopus.com/inward/record.url?scp=85198435236&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-53212-2_14
DO - 10.1007/978-3-031-53212-2_14
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AN - SCOPUS:85198435236
SN - 9783031532115
T3 - Springer Proceedings in Mathematics and Statistics
SP - 161
EP - 167
BT - New Trends in the Applications of Differential Equations in Sciences - NTADES 2023
A2 - Slavova, Angela
T2 - 10th International Conference on New Trends in the Applications of Differential Equations in Sciences, NTADES 2023
Y2 - 17 July 2023 through 20 July 2023
ER -