Alphabeta Math
LemmaStatement: AI-adaptedProof: AI-adaptedPipeline-generatedprecheck passjudge pass (gpt-5.6-terra)audited 2026-09-09
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.

Tree predecessors and compatibility

Statement

Each node t in a tree has exactly one predecessor of each height β<ht(t). If s,tTu, then s,t are comparable. Strict tree order strictly increases height, and every level is an antichain.

Facts & Assumptions

Given: A tree T with the strict and reflexive order conventions just defined.

[F1]

The strict predecessors Pt are well-ordered and ht(t) is their ordinal order type. Set-theoretic trees, heights, levels, branches and antichains

Proof

1.1

Let α=ht(t) and let e:αPt be its order isomorphism. For β<α, transitivity and order reflection give Pe(β)=e[β]. Thus ht(e(β))=β. Conversely every predecessor is e(γ) for exactly one γ<α and has height γ, proving existence and uniqueness.

F1
1.2

If s,tTu and either equals u, they are comparable. Otherwise both belong to the well-ordered set Pu, so its linear order compares them. This includes s=t.

F1given
2.1

If s<Tt, step 1.1 puts s=e(β) at some β<ht(t), so ht(s)<ht(t). Distinct nodes of one level therefore cannot be comparable; each level is an antichain. For a root the predecessor assertion has no indices, and empty levels satisfy the antichain assertion vacuously.

step 1.1

Depends on

Used by

Dependency tree · two levels

4 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