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.
Eliminating the middle vertex creates structural fill
Example
Work over , which is a field, and take
with vertices and elimination order . The initial structural graph is the path . Eliminating its middle vertex creates the edge , and the first Schur complement has a nonzero entry in that position. The pivots in the full order are nonzero, so the ordered elimination is defined throughout.
Facts & Assumptions
Given: The displayed symmetric matrix over , the vertex labels, and the elimination order .
Structural graphs and ordered symmetric elimination: a pivot's remaining neighbors are joined pairwise when that pivot is eliminated.
The rationals form a field: the rational numbers with their standard operations form a field.
Use the Schur-update convention : at stage , set and, if , define for the remaining vertices . Each update is defined after its current pivot has been checked.
The filled graph contains every off-diagonal Schur-complement nonzero: for a symmetric matrix over a field and a fixed ordering, if every pivot in the Schur updates is nonzero, every nonzero off-diagonal entry of each Schur complement is an edge of the corresponding filled graph.
Verification
The off-diagonal nonzero entries of are exactly and , so the initial structural graph is the path with edges and . The first pivot is , so [A1] defines on the remaining labels . Now , so the next update is defined and gives . Hence , and its update leaves the empty matrix. Thus all three pivots are nonzero and every stage is defined.
The first eliminated vertex is , whose later-neighbor set is . By [L1] its elimination adds the previously absent edge ; the computed is nonzero. Since is symmetric over the field and step 1.1 verifies all pivots, [L4] applies to these Schur complements. After the first elimination only two vertices remain, so later eliminations cannot join a new pair. Thus this ordering creates exactly one fill edge, realized by a numerical nonzero.
This ordering creates one structural fill edge. The computation gives a finite example only and supplies no general fill bound.
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
11 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)