Alphabeta Math
ExampleConstruction: AI-adaptedVerification: AI-generatedprecheck 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 n≥1 vertices. Then V(G) is (k/n)-sparse.

Facts & Assumptions

Given: A nonempty graph G on n≥1 vertices whose connected components are cliques of order at most k.

[L1]
[L2]

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

Verification

technique · direct
1.1L1

By [L1], every vertex of G lies in a clique component of size at most k, so it has at most k−1≤k neighbours in the whole vertex set.

2.1step 1.1L2algebra∎

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.

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