Alphabeta Math
LemmaStatement: Literature-sourcedProof: AI-generatedSession-authored (Fable 5 assisted)precheck passjudge pass (gpt-5.6-terra)audited 2026-08-26
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.

k-transitivity implies k-homogeneity and lower transitivity

Statement

Let 1jk, and let G act on a set Ω with at least k distinct points. If the action is k-transitive, then it is k-homogeneous and also j-transitive.

Facts & Assumptions

Given: Integers 1jk, a G-action on a set Ω with at least k distinct points, and the action is k-transitive.

[L1]

For k1, a k-transitive action sends any ordered k-tuple of distinct points to any other, and a k-homogeneous action sends any k-element subset to any other (k-transitive and k-homogeneous actions).

Proof

technique · direct
1.1

To prove k-homogeneity, let A,BΩ be k-element subsets. Choose orderings A={α1,,αk} and B={β1,,βk}. By [L1], some gG sends each αi to βi, so gA=B.

L1choose
1.2

To prove j-transitivity, start with ordered j-tuples of distinct points (α1,,αj) and (β1,,βj). Because Ω has at least k distinct points, extend them to ordered k-tuples of distinct points (α1,,αk) and (β1,,βk). Then [L1] gives gG with gαi=βi for all 1ik, in particular for 1ij.

L1choose
2.1

Step 1.1 gives k-homogeneity and step 1.2 gives j-transitivity.

step 1.1step 1.2

Depends on

Used by

Dependency tree · two levels

2 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