Math 2.0

Convex and discrete geometry Definition

Voronoi cell

Builds on Euclidean distanceLattice (group)

Definition

Let S⊂ℝnS \subset \R^n be a nonempty set with no accumulation point, and let ∣x−y∣\abs{x - y} denote the Euclidean distance. The Voronoi cell of a point p∈Sp \in S is V(p)={x∈ℝn:∣x−p∣≤∣x−q∣ for all q∈S}.V(p) = \set{x \in \R^n : \abs{x - p} \le \abs{x - q} \text{ for all } q \in S}. If Λ\Lambda is a lattice in ℝn\R^n, the Voronoi cell of Λ\Lambda is the cell V(0)V(0) of the origin in S=ΛS = \Lambda.

Remarks

Each condition ∣x−p∣≤∣x−q∣\abs{x - p} \le \abs{x - q} defines a closed half-space, so V(p)V(p) is a closed convex set. Example: for Λ=ℤ2\Lambda = \Z^2, the cell is V(0)=[−12,12]2V(0) = [-\tfrac12, \tfrac12]^2. Indeed, ∣x∣≤∣x−q∣\abs{x} \le \abs{x - q} for q=(±1,0)q = (\pm 1, 0) and q=(0,±1)q = (0, \pm 1) gives ∣x1∣≤12\abs{x_1} \le \tfrac12 and ∣x2∣≤12\abs{x_2} \le \tfrac12, and these four conditions imply the others. Non-example: the closed square [0,1]2[0, 1]^2 is not the Voronoi cell of 00 in ℤ2\Z^2, because its point (1,1)(1, 1) is at distance 00 from q=(1,1)q = (1, 1) and at distance 2\sqrt 2 from 00. For a lattice Λ\Lambda, the cell V(0)V(0) is a convex polytope, symmetric about 00, its translates V(0)+vV(0) + v with v∈Λv \in \Lambda cover ℝn\R^n with disjoint interiors, and its volume equals det⁡Λ\det \Lambda. The cells of all points of SS form the Voronoi diagram of SS.

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  1. Euclidean distance concept
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Further reading

  1. Web https://en.wikipedia.org/wiki/Voronoi_diagram
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Kinddefinition
WritingW0 stub
MSC52C07, 11H06, 52C22
DefinesVoronoi cell
UsesEuclidean distance, Lattice (group)

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