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.
Recursive coordinate-separator ordering for two- and three-dimensional grids
Definition
Input an integer and dimension . The coordinate vertices are . Identify them with the zero-based matrix indices by the lexicographic bijection . The grid graph has an edge between two coordinate vertices exactly when they differ by in one coordinate and agree in all others. Use the graph and ordering conventions of Structural graphs and ordered symmetric elimination on these indices. Thus gives the five-point graph and the seven-point graph.
Order a rectangular coordinate subbox recursively as follows. For each coordinate whose side length is at least , choose its lower median coordinate, namely the coordinate with positions below it in a side of length . Let be the union of the coordinate hyperplanes at those selected medians. Delete , obtaining at most nonempty rectangular child boxes. Recursively order the child boxes in lexicographic order of their lower corners, then append the vertices of in lexicographic order. If no coordinate has side length at least , append the remaining vertex as a terminal separator. Apply this rule first to the whole grid. The resulting order is the coordinate nested-dissection ordering.
The recursion uses only the graph geometry. It makes no fill or complexity claim for arbitrary graphs.
Depends on
Used by
Dependency tree · two levels
3 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
- Jennifer Scott and Miroslav Tůma, Algorithms for Sparse Linear Systems, Chapter 8, §8.4 (standard reference, not scraped)
- David Bindel, CS 5220, Lecture 16: Sparse Direct Solvers, slides 7–17 (standard reference, not scraped)