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 four-cycle is a cograph
Example
The four-cycle is a cograph.
Facts & Assumptions
Given: The cycle on vertices .
Any graph built from one-vertex graphs by repeated disjoint unions and complete connections is a cograph (Cographs by the singleton, disjoint-union, and complete-connection recursion).
In , the edges are exactly (Empty and complete graphs, complete bipartite graphs, and the convention that and have vertices).
The complete connection of two vertex-disjoint graphs is obtained by keeping all internal edges and adding every possible cross edge (The complete connection of two disjoint graphs).
Verification
Let and . By [L2], there is no edge inside and no edge inside , while every cross pair -, -, -, and - is an edge. Thus the induced graphs on and are two edgeless two-vertex graphs.
Each edgeless two-vertex graph is a cograph, because it is the disjoint union of two one-vertex graphs. Step 1.1 and [L3] show that is the complete connection of those two cographs. Therefore [L1] makes a cograph.
Hence the four-cycle is a cograph.
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
8 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
- Tero Harju, Lecture Notes on Combinatorial Structures in Graph Theory, Exercise 5.2 (standard reference, not scraped)