Alphabeta Math
ExampleConstruction: AI-adaptedVerification: AI-generatedSession-authored (Fable 5 assisted)precheck passjudge pass (deepseek-v4-pro + gpt-5.6-terra)audited 2026-08-26
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.

In a disjoint union of cliques of order k the whole vertex set is (k/n)-sparse

Example

Let G be a nonempty disjoint union of cliques, each of order at most k, on a total of n1 vertices. Then V(G) is (k/n)-sparse.

Facts & Assumptions

Given: A nonempty graph G on n1 vertices whose connected components are cliques of order at most k.

[L1]
[L2]

A set is c-sparse when every vertex has at most cX neighbours inside it (c-sparse, c-dense and c-restricted vertex sets).

Verification

technique · direct
1.1

By [L1], every vertex of G lies in a clique component of size at most k, so it has at most k1k neighbours in the whole vertex set.

L1
2.1

Since the whole set has size n, the bound of step 1.1 reads NG(v)(k/n)n for every vertex v. Therefore [L2] makes V(G) (k/n)-sparse.

step 1.1L2algebra

Depends on

Used by

Dependency tree · two levels

17 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