Alphabeta Math
Session-authored (Fable 5 assisted)
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.

2 results · all verified · 0 also independently AI-judged
Every result on this page is machine-checked by a proof checker and read in full and owner-audited; the judge is an additional, independent cross-model AI review of the proofs. The 2 not AI-judged were verified by owner audit (typically over a confirmed judge false positive), not failures.

Graph Colouring — Examples

1 · Prerequisites

2 · Summary

3 · Logical flowchart

4 · Definitions, theorems and proofs

None yet.

5 · Examples, counterexamples and false statements

ExampleConstruction: Literature-sourcedVerification: AI-adaptedprecheck passaudited 2026-08-03Open item page →

The complete graph KnK_n has chromatic number nn

Example

For every nNn\in\mathbb N, including n=0n=0, the complete graph KnK_n satisfies

χ(Kn)=n.\chi(K_n)=n.

Facts & Assumptions

Given: The complete graph KnK_n on the vertex set nn.

[L2]

A proper colouring gives different colours to adjacent vertices, and χ\chi is the least size of an available colour set (Proper vertex colourings and chromatic number).

Verification

technique · direct
1.1

In a proper colouring of KnK_n, [L1] and [L2] force all vertices to receive distinct colours, so at least nn colours are required; this is also true at n=0n=0, where the assertion is vacuous.

L1L2
1.2

The identity function nnn\to n is a proper nn-colouring because distinct vertices receive distinct values.

L1L2
2.1

The lower bound in step 1.1 and the colouring in step 1.2 give χ(Kn)=n\chi(K_n)=n.

step 1.1step 1.2L2
CounterexampleConstruction: AI-generatedVerification: AI-generatedprecheck passaudited 2026-08-03Open item page →

A vertex order on P4P_4 makes greedy colouring use three colours although χ(P4)=2\chi(P_4)=2

Counterexample

Let P4P_4 have vertices 0,1,2,30,1,2,3 and consecutive edges. In the order

0,3,1,2,0,3,1,2,

the least-available-colour greedy rule uses three colours, although χ(P4)=2\chi(P_4)=2.

Facts & Assumptions

Given: The path graph P4P_4 with edges {0,1}\{0,1\}, {1,2}\{1,2\} and {2,3}\{2,3\}.

[L2]

The greedy rule assigns the least colour absent from the earlier neighbours (The greedy colouring bound χ(G)Δ(G)+1\chi(G)\leq\Delta(G)+1 for every nonnull finite graph).

[L3]

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

technique · direct
1.1

In the displayed order, vertices 00 and 33 are nonadjacent and both receive colour 00; vertex 11 is adjacent to 00 and receives colour 11; vertex 22 is adjacent to 33 of colour 00 and to 11 of colour 11, so it receives colour 22. Thus greedy uses three colours.

L1L2
1.2

The assignment 0,200,2\mapsto0 and 1,311,3\mapsto1 is a proper 22-colouring, while the edge {0,1}\{0,1\} rules out a 11-colouring. Hence χ(P4)=2\chi(P_4)=2.

L1L3
2.1

In the order 0,1,2,30,1,2,3, greedy assigns colours 0,1,0,10,1,0,1 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.

step 1.1step 1.2L1L2

Sources

Standard references

Recommended treatments; not extraction sources.