Alphabeta Math
DefinitionDefinition: AI-adaptedProof: Not applicablePipeline-generatedjudge 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.

Finite products of pruned trees and dense matrices

Definition

A tree here has height ω, a unique root, finitely many immediate successors at each node, and no terminal nodes. Heights, tree order and levels are as in Set-theoretic trees, heights, levels, branches and antichains. For AT, say that A dominates t if tTa for some aA. For h,k<ω, A is (h,k)-dense if some xTh has every node of Th+k above x dominated by A. It is k-dense if it is (0,k)-dense, and infinity-dense if it is k-dense for every k<ω.

The unique root is below every node: the first predecessor of a positive-height node is a root, and uniqueness identifies it; the height-zero case is the root itself. Hence the height-k cone above the root is exactly Tk. Therefore A is k-dense iff it dominates every node on level k, in both directions by this equality. Every node has some finite height, so infinity-density implies it is dominated by applying this equivalence at its height. Conversely if every node is dominated, then every level is dominated and the same equivalence gives k-density for each k. These prove both density characterizations directly.

For a positive finite family (T1,,Td) of such trees, an (h,k)-matrix is a product i=1dAi where each AiTi is (h,k)-dense; the same h,k are used in every factor. A k-matrix means a (0,k)-matrix. Matrices are subsets of the full product iTi. The level product, in contrast, is n<ωi(Ti)n, consisting only of equal-height tuples. The density definition does not require a matrix to be in the level product.

For k=0, (h,0)-density means that some node of level h is dominated; for h=k=0, it is equivalent to A. No terminal nodes ensures every height-h node has an extension at height h+k, by finitely many successor choices; therefore an empty set is never (h,k)-dense. At d=1 a matrix is just the indicated dense set, up to the one-tuple identification; d=0 is excluded.

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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