Alphabeta Math
DefinitionDefinition: AI-adaptedProof: Not applicablePipeline-generatedjudge pass (gpt-5.6-terra)audited 2026-09-14
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.

The omega_2 bookkeeping iteration for MA

Definition

Assume ground-model GCH. At each stage choose, as part of the recursion, a coherent dense coded suborder DαPα of size at most 2 using Size bound for finite-support ccc iterations. Fix a well-order of H(3) and a bookkeeping map on ω2 that repeats every relevant canonical nice code over an earlier Dα cofinally often. The ω2 MA iteration is the finite-support iteration Pα,Q˙α,1˙α:α<ω2 in which bookkeeping selects a coded candidate name for an order on a subset of 1. Choose a maximal antichain deciding whether that candidate is a ccc order of the required size. On each positive branch, use its top-adjoined version as in Martin's Axiom reduces to small ccc orders; on each negative branch, use the one-point order. Mix those branch names into the single name Q˙α, including a branchwise name t˙α for its largest condition. Thus Pα forces that the iterand is nonempty, ccc, and has t˙α as a largest condition. A candidate already forced ccc is used, with its adjoined top, on every branch. Cohen forcing, with a top adjoined, is selected at cofinally many stages.

The local mixed top name t˙α need not lie in the prescribed set-sized carrier Rα. Apply the AC/maximal-antichain mixing clause of Two-step forcing iterations at 1Pα to choose 1˙αRα forced equal to t˙α. Recursively choose these representatives as part of the set-indexed stage data, so the all-top condition and literal top padding required by Finite-support forcing iterations are defined at every stage.

The bookkeeping enumerates canonical codes, not arbitrary raw Pα-names. Given a name which a condition forces to be a ccc order of size at most 1, first use ambient AC to name an isomorphic presentation on a subset of 1. Encode its domain and order relation as a subset of the fixed ground set 1×1. Below a coded Dα-condition, apply Nice-name reduction and the ccc counting bound using countable deciding antichains from the dense ccc suborder Dα; this gives an equivalent nice code over Dα. By GCH there are at most (20)1=2 such codes at each stage. The coherent coding and schedule revisit each earlier canonical code later, while the raw presentation may have unboundedly many forced-equal names. AC chooses the master well-order, deciding antichains, carrier representatives, and scheduling map. The branch mixture makes “Q˙α is ccc” forced by Pα rather than merely decided by some conditions; it never discards a positive branch merely because the top condition did not decide it.

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Sources