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.
Subreciprocal function and ell divisibility
Definition
A function is subreciprocal when it is nonincreasing and satisfies throughout its domain.
A nonempty finite graph is -divisive if there are witnesses and such that for every and every nonempty finite graph , the inequality implies a QID block sequence of length at least , width at least , uniformly -sparse in one of .
Counts use Induced copy density and homogeneous restriction parameter, and empty blocks have the convention of Qid restricted blockade with empty blocks. Floors mean Integer part: for every real there is exactly one integer with . Logarithmic functions used here have base two, in the sense of The logarithm to a positive base other than one. The witnesses are fixed for , independently of .
Source notes
Proof/convention locator: Bucic, Nguyen, Scott and Seymour, Induced subgraph density I, Section 5 before 5.1.
Depends on
Used by
- Checking the subreciprocal condition for the loglog bound Example
- Checking the subreciprocal condition for the quadratic log bound Example
- Admissible parameters for the density recursion Lemma
- Ell divisibility amplifies through a blockade Lemma
- Qid logarithmic and constant divisibility Lemma
- Quantitative density theorem for ell divisive graphs Theorem
Dependency tree · two levels
29 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
- Bucic, Nguyen, Scott and Seymour, Induced subgraph density I (standard reference, not scraped)