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.
A star graph has no fill in leaf-first order and a leaf clique in center-first order
Example
For an integer , let be the star with center and leaves . Let , where and is the adjacency matrix. In leaf-first order, elimination adds no fill. In center-first order, symbolic elimination adds every edge between leaves, and the actual Cholesky Schur complement has all those entries nonzero.
Facts & Assumptions
Given: An integer , the star graph , and the matrix specified above.
Structural graphs and ordered symmetric elimination: At each step the graph deletes the pivot and adds every edge between distinct later neighbors.
Verification
Write a vector as . The quadratic form is . Since , we have . Therefore It follows that for , so is positive definite.
In leaf-first order, each leaf has exactly one later neighbor, the center. By [F1] no pair of distinct remaining neighbors exists, so eliminating that leaf adds no edge. This holds for every leaf; eliminating the last center also adds no edge.
In center-first order, the center's later-neighbor set is all leaves. By [F1], the graph update inserts every pair of distinct leaves, so it has leaf-to-leaf fill edges not in the original star.
The pivot at the center is . Its Schur complement on the leaves is , whose off-diagonal entries are . Thus the symbolic fill edges from step 1.3 are also numerical nonzeros for this matrix, while step 1.2 gives no fill in the other order.
Steps 1.2 and 2.1 exhibit respectively and fill edges for two orderings of the same positive-definite sparse matrix.
Depends on
Used by
Nothing in the library uses this result yet.
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 4, §§4.1–4.3 (standard reference, not scraped)
- David Bindel, CS 5220, Lecture 16: Sparse Direct Solvers, slides 8–12 (standard reference, not scraped)