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.
Every cograph is perfect
Statement
Every cograph is perfect.
Facts & Assumptions
Given: A cograph .
A cograph is either null or is built from one-vertex graphs by finitely many disjoint unions and complete connections, and every cograph with at least two vertices has a final step of one of those two kinds (Cographs by the singleton, disjoint-union, and complete-connection recursion).
A disjoint union of two perfect graphs is perfect (A disjoint union of two perfect graphs is perfect).
A complete connection of two perfect graphs is perfect (A complete connection of two perfect graphs is perfect).
The null graph and every one-vertex graph are perfect (Perfect graphs).
Proof
We argue by induction on the recursive definition of cographs. If is the null graph or a one-vertex graph, then [F1] shows that is perfect.
Assume now that is nontrivial and that the claim is already known for the two smaller cographs in its final construction step. By [L1], there exist smaller cographs and such that is either or . The induction hypothesis makes both and perfect.
In the disjoint-union case, [L2] shows that is perfect. In the complete-connection case, [L3] shows that is perfect.
Steps 1.1 and 2.1 close the induction. Therefore every cograph is perfect.
Depends on
Used by
Dependency tree · two levels
9 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
- Maria Chudnovsky, The Erdos-Hajnal Conjecture - A Survey, Introduction (standard reference, not scraped)
- Tero Harju, Lecture Notes on Combinatorial Structures in Graph Theory, Exercise 5.2 (standard reference, not scraped)