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Poisson-Delaunay approximation

Matthias Reitzner, Anna Strotmann

Abstract

For a Borel set $A$ and a stationary Poisson point process $η_t$ in $\mathbb R^d$ of intensity $t>0$, the Poisson-Delaunay approximation $ A_{η_t}$ of $A$ is the union of all Delaunay cells generated by $η_t$ with center in $A$. It is shown that $λ_d(A_{η_t})$ is an unbiased estimator for $λ_d(A)$, variance bounds and a quantitative central limit theorem are given. The asymptotic behaviour of the symmetric difference $λ_d(AΔA_{η_t})$ is derived as $t \to\infty$.

Poisson-Delaunay approximation

Abstract

For a Borel set and a stationary Poisson point process in of intensity , the Poisson-Delaunay approximation of is the union of all Delaunay cells generated by with center in . It is shown that is an unbiased estimator for , variance bounds and a quantitative central limit theorem are given. The asymptotic behaviour of the symmetric difference is derived as .

Paper Structure

This paper contains 13 sections, 9 theorems, 92 equations, 2 figures.

Key Result

Theorem 2.1

Let $A$ be a Borel set. Then

Figures (2)

  • Figure 1: Poisson-Delaunay approximation of an ellipse.
  • Figure 2: Symmetric difference of the Poisson-Delaunay approximation.

Theorems & Definitions (11)

  • Theorem 2.1
  • Theorem 2.2
  • Theorem 2.3
  • Theorem 2.4
  • Theorem 3.1
  • Lemma 3.2
  • proof
  • Lemma 3.3
  • proof
  • Theorem 3.4
  • ...and 1 more