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.
Structural graphs and ordered symmetric elimination
Definition
Let be a field, let (including ), and let satisfy for every (that is, is symmetric). Its structural graph is the simple undirected graph with vertex set and edge set
An elimination ordering is a listing in which every vertex of occurs exactly once. Define the current vertex set by , starting with the structural graph . At step , the later neighbors of are
The filled graph is obtained by deleting and its incident edges, retaining all edges between remaining vertices, and adding every edge between two distinct vertices of . An edge added at step that was not already in is a fill edge. Repeating this rule defines the symbolic elimination pattern for the ordering; it is defined from the initial graph and ordering alone, without numerical pivot values.
If is nonempty, the parent of is the later neighbor with least position in the ordering. If is empty, is a root. Each non-root has a unique parent, and positions strictly increase along parent edges, so there is no directed cycle. If the underlying undirected graph had a cycle with vertices, orient its edges from child to parent. Each vertex has at most one outgoing parent edge, so these edges force every cycle vertex to have one outgoing edge along the cycle; following them gives a directed cycle, contradicting strict increase. Thus the parent relation is an elimination forest.
Depends on
Used by
- Recursive coordinate-separator ordering for two- and three-dimensional grids Algorithm
- Scalar multifrontal Cholesky and solves on the elimination forest Algorithm
- Sparse symmetric-indefinite block LDL* with threshold tests and failure status Algorithm
- Elimination-tree column patterns and reach Definition
- Undirected structural graph of a Hermitian matrix Definition
- A star graph has no fill in leaf-first order and a leaf clique in center-first order Example
- Eliminating the middle vertex creates structural fill Example
- Numerical cancellation can zero an entry while the filled graph retains its edge Example
- Every later filled neighbor lies on the elimination-tree parent path Lemma
- Filled edges are witnessed by paths through earlier eliminated vertices Lemma
- Hermitian Schur-complement support stays inside the symmetric filled graph Lemma
- Nested-dissection grid fronts are bounded by a box separator and its exterior boundary Lemma
- The filled graph contains every off-diagonal Schur-complement nonzero Theorem
Dependency tree · two levels
6 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
- Yousef Saad, Iterative Methods for Sparse Linear Systems, 2nd ed., Chapter 3 §§3.2.1, 3.3.2 and 3.6, printed pp. 77–83 and 96–98 (standard reference, not scraped)
- Prabhakar Poupart and Jingjing Wan, CS475/CS675 Lecture 4: Sparse Gaussian Elimination, Graph Representation, slides 6–10, University of Waterloo, May 12, 2016 (standard reference, not scraped)