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 sparse -free graph yields deeper sparsification or a complete blockade or a large anticomplete set
Statement
There exists a constant such that, for every and every -sparse -free graph , at least one of the following holds:
- there is a set with such that is -sparse;
- there is a complete in ; or
- there are disjoint sets such that and is anticomplete to .
Facts & Assumptions
Given: A parameter and a -sparse -free graph .
Lemma 7.1 of Nguyen, Scott, and Seymour's cited paper states the displayed trichotomy, with the same constant and the same exponents and blockade parameters.
In the proof of that lemma, Claim 7.1.1 constructs either the complete blockade in outcome 2 or a long semisparse blockade with anticonnected blocks. Claim 7.1.2 shows that a vertex mixed on many of those blocks yields outcome 1; otherwise averaging over the blocks gives a block anticomplete to a set of size at least , which is outcome 3.
Proof
Apply [F1] to the graph in the Given. Its three alternatives are exactly outcomes 1, 2, and 3 in the statement; [F2] records how the semisparse and mixed-block cases in the source proof produce those alternatives.
Therefore the present trichotomy holds.
Depends on
Used by
Dependency tree · two levels
16 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
- Tung Nguyen, Alex Scott, and Paul Seymour, Induced subgraph density. VII. The five-vertex path, Lemma 7.1 (standard reference, not scraped)