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.
Full and targeted foldovers of a resolution III fraction
Example
Use factors and the regular fraction generated by
Writing for the identity word, its defining relations are and , so and the initial resolution is III. A complete mirror foldover yields the regular fraction with : each subset remains paired with , so remains aliased with while and separate. Reversing only factor yields the regular fraction with : each remains paired with , so separates from but remains aliased with . The targeted follow-up therefore leaves resolution III and a specific coefficient ambiguity; this is an exact residual alias list, not a claim that all main effects are clear.
Facts & Assumptions
Given: The five factors and generator equations in the Example, the complete mirror foldover , the partial foldover , and the unrestricted fixed-design linear model with all factorial columns on the augmented runs.
Regular two-level fractions, signed defining relations, and resolution: signed words multiply by symmetric difference, and resolution is the shortest nonidentity defining-word length.
The defining subgroup gives the exact alias relations: is generated by the independent signed generators and gives all equal- or opposite-column alias relations.
Full and partial foldovers separate aliases by parity: after reversing factor set , the residual relation subgroup is .
Aliased factorial columns prevent separate coefficient identification: equal columns in an unrestricted fixed-design model contribute only through the sum of their coefficients, and the two coefficients are not separately identifiable.
Verification
The equations give and , so the defining words are and . Their product is because the repeated cancels in symmetric difference. The two incidence vectors are nonzero and distinct; over , two nonzero vectors are dependent only if equal, so these generators are independent. By [F2] these and the identity are exactly the four words in . Their nonidentity lengths are , hence the initial resolution is III.
For the complete mirror, [F3] changes the signs of the length-three relations ABD and CDE but preserves ABCE, giving . The two eight-run blocks are disjoint because ABD has opposite signs on them, and both lie in ; choosing freely determines , so and their union is exactly this regular fraction. Its aliases are precisely with , so remains paired with , while is absent and that pair separates. The shortest residual word has length .
For the partial foldover on , [F3] changes ABD and ABCE but preserves CDE, giving . The two eight-run blocks are disjoint because ABD has opposite signs on them, and both lie in ; choosing freely determines , so their union is all 16 runs in this regular fraction. The complete residual pairs are precisely and : this includes and excludes the original relation . The shortest residual word has length .
The retained columns in the partial design contribute as . By [F4], only this combination enters the fitted vector for this pair, so the partial follow-up does not separately identify and without a restriction or further runs.
Sources
Oehlert §§18.2, 18.4, and 18.7 support the generator, resolution, and full-foldover conventions. NIST/SEMATECH §§5.3.3.8.1–5.3.3.8.2 covers mirror and selected-factor follow-ups. All relation products and residual alias sets in this example are computed explicitly.
Depends on
Used by
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Sources
- Gary W. Oehlert, A First Course in Design and Analysis of Experiments, Chapter 18, §§18.2, 18.4, and 18.7 (standard reference, not scraped)
- NIST/SEMATECH e-Handbook of Statistical Methods, §§5.3.3.8.1–5.3.3.8.2 (standard reference, not scraped)