Alphabeta Math
TheoremStatement: AI-adaptedProof: AI-adaptedPipeline-generatedaudited 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.

Well-ordered language completeness with a size bound

Statement

In ZFC, if κ is an infinite cardinal and a finite-arity set signature L has size at most κ, every consistent L-sentence theory has a nonempty model of size at most κ. If every finite subset of a sentence theory has a model, it likewise has a model of size at most κ. This is an explicitly choice-assuming size theorem.

Facts & Assumptions

Given: AC, an infinite cardinal κ, a signature Lκ and a sentence theory T.

[F1]

Fresh witness axioms preserve consistency. (Adding one fresh witness preserves consistency)

[F2]

A consistent theory can decide one sentence, choosing the positive side if consistent. (A consistent theory can decide one sentence)

[F3]

Finite support, proof composition and increasing consistent unions are valid. (Finite support, weakening, and composition of derivations)

[F4]

Any complete consistent deductively closed Henkin theory has its closed-term quotient as a model. (Truth lemma for the term quotient)

[F5]

Definable transfinite recursion along a well-order gives a unique sequence of sets. (Transfinite recursion)

[F6]

Under AC every set can be well ordered. (The well-ordering theorem)

[F8]

Pure constant expansions are conservative. (Fresh constants may be eliminated from a finite proof)

[F9]

A theory with a model is consistent. (Soundness for arbitrary set signatures)

[A1]

The Axiom of Choice is assumed. (The Axiom of Choice)

Proof

1.1

Use A1 and F6 to fix a well-order of the original alphabet and enough coding bijections. An alphabet of size at most κ has at most κ finite words: for each positive finite r, iterate κκ=κ from F7 to bound words of length r, include the one empty word, then use ωκ=κ from F7 for their union. One can fix one pairing bijection of κ2 with κ and iterate it, with a length tag, so all these bounds are uniform. The countable variables and finite punctuation are absorbed as well. Reserve constants c and cn,α for n<ω, α<κ. Their total set has size at most κ by F7 and is disjoint from L.

F6F7A1
2.1

Begin with the seed expansion and T0=T. For round n, let Ln contain L, the seed and the earlier constant layers. Use the fixed word codes to enumerate its sentences in a κ-sequence: at a code that is not a sentence use the fixed sentence x(x=x). Every sentence occurs. In Ln+1 start with U0=Tn; at each α<κ decide the enumerated σα by F2, then, if it is existential, add its implication witness axiom with cn,α. The constant is absent from the current assumptions: all decisions are in Ln and earlier witness axioms use only earlier indices. F1 and F8 preserve consistency in the full Ln+1. At each nonzero limit λκ take the union of the earlier theories; F3 gives consistency. Set Tn+1=Uκ.

F1F2F3F8step 1.1
3.1

Each successor decision is determined by the predicate of syntactic consistency on a set of proof codes, and each limit is a specified union. F5 therefore supplies the inner κ-recursion, and then the outer ω-recursion. These are definable operations; extend them arbitrarily on invalid histories to make a total recursion rule. Every language and theory is a set of words in the fixed potential alphabet of step 1.1, so the required set bounds hold. No regularity of κ is required: a finite proof at any limit draws its support from one earlier stage of that increasing chain.

F3F5step 1.1step 2.1
4.1

Let U=nTn in L=nLn. By F8 each earlier theory is consistent in this final constant expansion; F3 therefore gives consistency of U. Every final sentence lies in some Ln, since it uses finitely many constant layers, and is decided in that round. Every final existential sentence likewise has its witness axiom there. Take all sentence consequences of U as H. If H proved bottom, F3 would replace the finitely many used sentence consequences by their U-proofs, contradicting consistency. The same argument proves deductive closure. Thus H has all the hypotheses of F4, and its quotient satisfies H and hence, on reduct, T.

F3F4F8step 3.1
5.1

All closed terms inject into the word-code set of size κ. Assign each quotient class its least ordinal term code; this is defined for every nonempty class and is injective, just as equal least codes identify the same term. Thus the model has size at most κ and is nonempty by the seed. Finally, finite satisfiability rules out a finite-support proof of bottom by F9; hence it gives consistency and the preceding construction applies. AC was assumed in step 1.1 to fix well-orders/coding data, and is retained as an explicit hypothesis of the theorem; this does not assert an arbitrary-language compactness theorem over ZF alone.

F3F9step 1.1step 4.1

Depends on

Used by

Dependency tree · two levels

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Sources