Alphabeta Math
LemmaStatement: AI-adaptedProof: AI-generatedprecheck passjudge pass (deepseek-v4-pro + gpt-5.6-terra)audited 2026-08-26
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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.
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An induced copy of H2 inside the extension set of an induced embedding of H1−v yields an induced copy of H1 with H2 substituted for v

Statement

Let H1 be a finite simple graph, v∈V(H1), and let H2 be a finite simple graph for which H:=H1[v→H2] is defined. Let G be a finite simple graph, let φ be an induced embedding of H1−v into G with extension set Xφ (The induced copies of H1 in G are counted by summing, over the induced embeddings of H1−v, the number of vertices that extend them at v), and let ψ be an induced embedding of H2 into G whose image is contained in Xφ. Then the map θ:V(H)→V(G) that agrees with φ on V(H1)∖{v} and with ψ on V(H2) is an induced embedding of H into G. In particular G is not H-free.

Facts & Assumptions

Given: Graphs H1, H2, G as in the Statement, with U=V(H1)∖{v}, the substitution H=H1[v→H2], the induced embedding φ of H1−v into G, and the induced embedding ψ of H2 into G with ψ[V(H2)]⊆Xφ.

[F1]

The vertex set of H1[v→H2] is U∪V(H2), a disjoint union; two vertices of U are adjacent there exactly when they are adjacent in H1, two vertices of V(H2) exactly when they are adjacent in H2, and x∈U is adjacent to y∈V(H2) exactly when x is adjacent to v in H1 (Substituting one graph for a vertex of another).

[F2]

An induced embedding of J in G is an injection θ:V(J)→V(G) such that, for all distinct x,y∈V(J), xy∈E(J) if and only if θ(x)θ(y)∈E(G) (Induced embeddings and induced copies of a graph). A graph is J-free exactly when it has no induced copy of J (H-free and F-free graphs under the induced-subgraph convention).

[L1]

The extension set Xφ consists of the vertices u∈V(G)∖φ[U] for which the map extending φ by v↦u is an induced embedding of H1 into G (The induced copies of H1 in G are counted by summing, over the induced embeddings of H1−v, the number of vertices that extend them at v).

[F3]

H1−v=H1[U], so two vertices of U are adjacent in H1−v exactly when they are adjacent in H1 (Subgraphs, induced subgraphs and spanning subgraphs).

[F4]

A map is injective when equal values force equal arguments (Injection, surjection, bijection).

Proof

technique · cases
1.1F1F2F4L1given

The vertex set of H is the disjoint union U∪V(H2), so θ is a well-defined map on V(H). It is injective: φ and ψ are injective, and their images are disjoint, because ψ[V(H2)]⊆Xφ and every member of Xφ lies outside φ[U].

1.2assume-case hostF1F2F3

First case: distinct x,y∈U. Then xy∈E(H) exactly when xy∈E(H1), which is exactly when xy∈E(H1−v), which because φ is an induced embedding of H1−v is exactly when φ(x)φ(y)∈E(G).

1.3assume-case insertedF1F2

Second case: distinct x,y∈V(H2). Then xy∈E(H) exactly when xy∈E(H2), which because ψ is an induced embedding of H2 is exactly when ψ(x)ψ(y)∈E(G).

1.4assume-case crossF1F2L1given

Third case: x∈U and y∈V(H2). The vertex ψ(y) lies in Xφ, so extending φ by v↦ψ(y) is an induced embedding of H1; applied to the pair x,v of H1 this gives that xv∈E(H1) exactly when φ(x)ψ(y)∈E(G). And xy∈E(H) exactly when xv∈E(H1).

2.1step 1.2step 1.3step 1.4F1cases-exhaustive

Every pair of distinct vertices of H falls under exactly one of the three cases, because U and V(H2) are disjoint and cover V(H); so in every case xy∈E(H) holds exactly when θ(x)θ(y)∈E(G).

3.1step 1.1step 2.1F2∎

With the injectivity of step 1.1, the map θ is therefore an induced embedding of H into G, so G has an induced copy of H and is not H-free.

Depends on

Used by

Dependency tree · two levels

18 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