DefinitionDefinition: Literature-sourcedProof: Not applicableSession-authored (Fable 5 assisted)judge pass (gpt-5.6-terra)audited 2026-08-27
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.
Complete, anticomplete, pure, weakly sparse, and -sparse blockades
Definition
Let be a blockade in a graph and let .
- is complete when every pair with is complete in the sense of Edges between disjoint vertex sets; complete, anticomplete, pure and mixed pairs.
- It is anticomplete when every pair with is anticomplete.
- It is pure when every pair with is pure.
- It is weakly -sparse when every pair with is weakly -sparse in the sense of Sparsity of one vertex set to another, and weak sparsity of a pair.
- It is -sparse when is -sparse to for every .
The last condition depends on the order of the blocks, while the first four do not.
Depends on
Used by
- Sparse orientations of a blockade Definition
- The pattern graph of a pure blockade Definition
- A pure blockade that is neither complete nor anticomplete Example
- FALSE: every pure blockade is either complete or anticomplete False statement
- FALSE: reversing the order of the blocks never changes x-sparsity False statement
- A maximal pure blockade with large total a-mass must already have at least ε⁻² blocks Lemma
- Complete or anticomplete blockade hypotheses force an ε-restricted induced subgraph Theorem
Dependency tree · two levels
7 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 (standard reference, not scraped)
- Shenwei Huang, Yiao Ju, and Yidong Zhou, Erdős-Hajnal beyond the five-vertex path (standard reference, not scraped)