Alphabeta Math
LemmaStatement: AI-adaptedProof: 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.

A set is c-sparse exactly when the maximum degree of the graph it induces is at most c times its size

Statement

Let G be a finite simple graph, let c0, and let XV(G) be nonempty. Then X is c-sparse in G if and only if every vertex of the induced subgraph G[X] has degree at most cX. In particular, if XWV(G), then X is c-sparse in G if and only if it is c-sparse in G[W].

Facts & Assumptions

Given: A finite simple graph G, a real c0, and a nonempty set XV(G).

[L1]

The set X is c-sparse when NG(x)XcX for every xX (c-sparse, c-dense and c-restricted vertex sets).

[L2]

In the induced subgraph G[X], the neighbours of a vertex xX are exactly the vertices of NG(x)X (Subgraphs, induced subgraphs and spanning subgraphs, Adjacency, incidence, open and closed neighbourhoods, vertex degree, minimum degree and maximum degree).

Proof

technique · direct
1.1

By [L2], for each xX the degree of x in G[X] is exactly NG(x)X.

L2
2.1

Therefore the inequalities in [L1] are exactly the degree bounds in the induced subgraph.

step 1.1L1
3.1

The same identity of neighbourhoods holds in any larger induced subgraph G[W] containing X, so the ambient graph is irrelevant once the vertex set X is fixed.

step 1.1

Depends on

Used by

Dependency tree · two levels

6 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