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.

Soundness of the three word rules and density-preserving finite thinning

Statement

Let Qi=1dTi, where d>0 and the Ti are finitistic trees. Under the matrix/node interpretation below, formulas are monotone when a coordinate set bound by xi is shrunk. Moreover, if WdW, then

npΦ(W,n,p)npΦ(W,n,p).

Thus Rule 3 is sound for this quantified scheme, although it need not preserve a pointwise interpretation with the same density parameter.

Facts & Assumptions

Given: The displayed d,Ti,Q, words W,WLd, and a derivation WdW.

[F1]

The preceding definition supplies domination, finite levels, no terminal nodes, and (h,k)-density. Finitistic trees, level products, density, and matrices

[F2]

The only generating steps of d are the three stated rule classes. The finite word calculus for the Halpern–Läuchli argument

Proof

1.1

For BiTi and ni<ω, put Ci(ni,Bi)={Bi{u:tTiu}:tTi(ni)}. Interpret a word from left to right: Ai means “there is AiBi that is ni-dense”; xi ranges over Ai; ai ranges over Ci(ni,Bi); and xi ranges over ai. At the empty word assert (x1,,xd)Q. Let W(n,B) be the resulting sentence, and let Φ(W,n,p) say that W(n,B) holds whenever every Bi is p-dense.

F1F2givenconstruct
2.1

If a subformula has Ai only through a quantifier xiAi, replacing Ai by AiAi preserves its truth, because fewer values of xi must be checked. Repeating this argument proves simultaneous monotonicity in every such coordinate.

step 1.1
2.2

Rule 1 preserves the scheme: like quantifiers commute, and a witness for αβ is independent of β and therefore witnesses βα. The side condition that the result lies in Ld ensures that all variable domains in step 1.1 are already defined when used.

F2step 1.1
2.3

Rule 2 is pointwise valid. If aiCi(ni,Bi) there is xiai satisfying the tail, choose one witness from each member of this one finite cone family and collect the witnesses as Ai; it lies in Bi, meets every height-ni cone, hence is ni-dense, and the tail holds for all its members. Conversely, an ni-dense AiBi meets every cone in Ci(ni,Bi), so a member of the intersection supplies the matched existential. Finite induction supplies the finitely many witnesses and uses no choice axiom.

F1F2step 1.1choose
2.4

Consider Rule 3 with 1r<d, after relabelling its permutation: W=(ai)i=1r(Ai)i=r+1dV and W=(Ai)i=r+1d(ai)i=1rV. Assume kpΦ(W,k,p). Because a p-dense set is p-dense when pp, let F(k) be the least witness exceeding every ki. For fixed n, define G(0)=maxi>rni and G(j+1)=F(n1,,nr,G(j),,G(j)). This uses least natural witnesses and recursion on ω, not a choice function.

F1F2step 1.1assume-hypconstruct
3.1

Put m=i=1rTi(ni) and pj=G(mj) for 0jm. Given p0-dense Bi, enumerate the m tuples of height-ni roots in the first r trees; their associated cone tuples may repeat. Before any tuple is processed, take Ai0=Bi for i>r. These sets are p0-dense and the preservation requirement for the empty list is vacuous.

F1step 2.4base
4.1

Suppose j<m cone tuples have been processed and AijBi is pj-dense for every i>r, with the tail V true for all earlier tuples. Apply Φ(W,(n1,,nr,pj+1,,pj+1),pj) to the next cone tuple and to B1,,Br,Ar+1j,,Adj. It yields Aij+1Aij that are pj+1-dense and make V true for the new tuple. Step 2.1 preserves all earlier instances. Finite induction gives final sets Aim working for all cone tuples.

F1step 2.1step 2.4step 3.1ihchoose
5.1

Since pm=G(0)ni for i>r, each Aim is ni-dense: extend any height-ni node to height pm and use pm-density. Hence the Aim witness the leading existential block of W, and the universal block holds because step 4.1 processed every root tuple. Therefore Φ(W,n,p0) holds. The vector n was arbitrary, proving Rule 3 preserves the quantified scheme.

F1step 2.4step 4.1discharge-induction
6.1

A derivation is finite. Apply steps 2.2, 2.3, or 5.1 successively to its rule steps; transitivity gives the displayed implication for WdW.

F2step 2.2step 2.3step 5.1

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