Alphabeta Math
LemmaStatement: Literature-sourcedProof: AI-adaptedPipeline-generatedjudge pass (gpt-5.6-terra)audited 2026-09-14
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  • 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.

Concatenation and limit control for minimal-walk traces

Statement

Fix the locally finite C-sequence of C-sequences and the upper and lower traces of minimal walks on omega-one.

  1. If α<β<γ<ω1 and L(β,γ)<L(α,β), then Tr(α,γ)=Tr(β,γ)Tr(α,β) and L(α,γ)=L(β,γ)L(α,β). The unions occur in the displayed walk order: first the segment from γ to β, then the segment from β to α. The same identities hold trivially when α=β or β=γ after the corresponding empty trace is removed.
  2. If δ<ω1 is a nonzero limit ordinal, then limξδminL(ξ,δ)=δ. Explicitly, for every η<δ there is ξ0<δ such that ξ0<ξ<δ implies η<minL(ξ,δ)<δ.

The second assertion has the limit ordinal as the upper endpoint. It does not assert the generally false fixed-β limit minL(ξ,β)α when α<β.

Facts & Assumptions

Given: The fixed normalized C-sequence and the trace conventions in the statement.

[F1]

C-sequences and the upper and lower traces of minimal walks on omega-one defines the walk by least points of Cζ at or above the target, and defines the lower trace by the successive running maxima of the finite sets Cζα.

Proof

technique · direct
1.1

If α=β or β=γ, one upper and lower trace is empty by [F1], so both concatenation identities reduce to equality with the other trace. Hence suppose α<β<γ and L(β,γ)<L(α,β).

F1given
1.2

Let δ be a nonzero limit and 0<ξ<δ. The first lower-trace value for the walk from δ to ξ is max(Cδξ), and all later values are running maxima containing that first intersection. Hence minL(ξ,δ)=max(Cδξ). The same equality is harmless at ξ=0 under the explicit zero convention, although limits only concern a final tail.

F1given
2.1

Every member of L(α,β) is below α, so the separation hypothesis puts every member of L(β,γ) below α. If ζ is a node of Tr(β,γ), the running maximum that records Cζβ occurs in L(β,γ) or is bounded by a later recorded maximum. Thus Cζβα, and therefore Cζα=Cζβ. In particular Cζ has no point in [α,β), so min(Cζα)=min(Cζβ).

F1step 1.1
2.2

Given η<δ, cofinality of Cδ gives cCδ with η<c<δ. Since δ is a limit, ξ0=c+1<δ. Whenever ξ0<ξ<δ, one has cCδξ, and step 1.2 gives η<cminL(ξ,δ)<δ. This is exactly the ordinal-limit assertion in clause 2.

F1step 1.2
3.1

Step 2.1 says that the walk aimed at α makes exactly the same choices as the walk aimed at β until it reaches β. From that node onward its recursion is the walk from β to α. This proves the asserted upper-trace concatenation, with no repeated β because the first trace excludes its terminal point and the second includes its starting point.

F1step 2.1
4.1

Along the first segment, step 2.1 identifies every initial intersection and hence every running maximum with the corresponding value in L(β,γ). All those values are below every value of L(α,β). Consequently, after the walk reaches β, taking running maxima for the continued walk produces exactly the values of L(α,β); no earlier value suppresses or changes one. The lower trace is therefore the ordered union L(β,γ)L(α,β).

F1step 2.1step 3.1
5.1

Steps 3.1 and 4.1 prove the two concatenation identities, including the endpoint reductions in step 1.1, and step 2.2 proves the exact limit-target control from step 1.2.

step 1.1step 1.2step 2.2step 3.1step 4.1

Depends on

Used by

Dependency tree · two levels

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Sources