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.
The five-vertex path is perfect but not a cograph
Example
The path is perfect but not a cograph.
Facts & Assumptions
Given: The path on vertices .
A graph is perfect when every induced subgraph satisfies (Perfect graphs).
The path has edges exactly , so its first four vertices induce (Empty and complete graphs, complete bipartite graphs, and the convention that and have vertices).
A graph is a cograph if and only if it is -free (The cographs are exactly the P_4-free graphs).
Every induced subgraph of a path is a disjoint union of shorter paths, obtained by deleting vertices and keeping the remaining consecutive segments.
Verification
Let be an induced subgraph of . By [F1], each connected component of is a path. Colour each component alternately along the path. This gives a proper colouring with colours when is empty, with colour when is nonempty and edgeless, and with colours when has an edge.
By [L2], the vertices induce . Therefore is not -free, and [L3] shows that is not a cograph.
The same trichotomy gives the clique number of : it is when is empty, when is nonempty and edgeless, and when has an edge, because no path contains a triangle and disjoint union adds no new edges. Hence for every induced subgraph , so [L1] shows that is perfect.
Therefore is perfect but not a cograph.
Depends on
Used by
Dependency tree · two levels
21 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 5.3 (standard reference, not scraped)