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.
Graph Colouring — Examples
1 · Prerequisites
2 · Summary
3 · Logical flowchart
4 · Definitions, theorems and proofs
None yet.
5 · Examples, counterexamples and false statements
The complete graph has chromatic number
Example
For every , including , the complete graph satisfies
Facts & Assumptions
Given: The complete graph on the vertex set .
Every two distinct vertices of are adjacent (Empty and complete graphs, complete bipartite graphs, and the convention that and have vertices).
A proper colouring gives different colours to adjacent vertices, and is the least size of an available colour set (Proper vertex colourings and chromatic number).
Verification
In a proper colouring of , [L1] and [L2] force all vertices to receive distinct colours, so at least colours are required; this is also true at , where the assertion is vacuous.
The identity function is a proper -colouring because distinct vertices receive distinct values.
The lower bound in step 1.1 and the colouring in step 1.2 give .
A vertex order on makes greedy colouring use three colours although
Counterexample
Let have vertices and consecutive edges. In the order
the least-available-colour greedy rule uses three colours, although .
Facts & Assumptions
Given: The path graph with edges , and .
The path-graph convention gives exactly these vertices and edges (Empty and complete graphs, complete bipartite graphs, and the convention that and have vertices).
The greedy rule assigns the least colour absent from the earlier neighbours (The greedy colouring bound for every nonnull finite graph).
A proper colouring assigns different colours to adjacent vertices, and the chromatic number is the least number of colours in a proper colouring (Proper vertex colourings and chromatic number).
Verification
In the displayed order, vertices and are nonadjacent and both receive colour ; vertex is adjacent to and receives colour ; vertex is adjacent to of colour and to of colour , so it receives colour . Thus greedy uses three colours.
The assignment and is a proper -colouring, while the edge rules out a -colouring. Hence .
In the order , greedy assigns colours and uses only two colours. Together with step 1.1 and step 1.2, this shows that the number used by greedy colouring depends on the vertex order and can exceed the chromatic number.
Sources
Standard references
Recommended treatments; not extraction sources.