How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Planar triangulations, Delaunay structures, and Voronoi cells
Definition
Use the unweighted deduplicated coordinate set of Finite indexed geometric site sets and duplicate handling. If its affine dimension is zero, its output is its single site. If its affine dimension is one, sort by the first varying coordinate (use if it varies, otherwise ) and take the chain joining consecutive sites; this is the lower-dimensional output and contains no triangles.
For affine dimension two, a triangulation of the sites is a finite family of nondegenerate closed triangles whose vertices are sites, whose union is the convex hull, and whose pairwise intersections are common faces. Its 1-skeleton is the graph with these sites as vertices and all triangle sides as edges; it is connected. The bounded faces of this plane graph are exactly the chosen triangles, and its one unbounded face is the exterior of the convex hull. The boundary edges of the convex hull are subdivided at every site on that boundary. A triangle is weakly empty-circle when no site lies strictly inside its circumdisk; other sites may lie on its boundary.
For each site , its closed Voronoi cell is A tie belongs to every minimizing cell. The Delaunay graph has one vertex for each site and an edge exactly when contains a nontrivial line segment. A Voronoi vertex is a point belonging to at least three distinct cells. It is dual to the convex polygon of the nearest sites; A Voronoi vertex has a common empty circle of nearest sites proves that those sites are vertices on one empty circle centered at that point. A Delaunay triangulation is a triangulation refining these polygonal Delaunay faces and having weakly empty circumdisks. In a cocircular face the triangulation need not be unique; the chosen algorithmic refinement is the fixed-universe convention of Stable-id lexicographic lift perturbation for cocircular and power ties.
The convex-hull boundary is the boundary of the union of the triangles. An unbounded Voronoi cell corresponds to a site on that boundary. No minimum-angle or other mesh-quality condition is part of these definitions.
Depends on
Used by
- Delaunay-seeded curved uniform NVB refinement Algorithm
- Incremental planar Delaunay insertion with exact edge flips Algorithm
- Randomized planar point location by a history DAG Algorithm
- Barycentric point location, affine interpolation, and nearest-site queries Definition
- A cocircular four-site tie selects the stable-id diagonal Example
- A scattered affine interpolant on one Delaunay cell Example
- Collinear and duplicate sites return a canonical chain Example
- A dyadic supertriangle contains the sites and excludes every input circumcircle Lemma
- An illegal planar Delaunay flip strictly decreases lifted interpolation volume Lemma
- Euler counting for a finite planar triangulation Lemma
- A planar triangulation has linearly many triangles and edges Theorem
- Barycentric interpolation and nearest-site queries are correct Theorem
- Exact planar insertion terminates with a weak empty-circle triangulation Theorem
Dependency tree · two levels
4 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Mark de Berg et al., Computational Geometry: Algorithms and Applications, 3rd ed., Chapter 9 (standard reference, not scraped)
- David M. Mount, CMSC 754 Computational Geometry, Lectures 11–13 (standard reference, not scraped)