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.
Fractional factorial aliases and foldover
1 · Prerequisites
2 · Summary
Regular two-level fractions are selected from the coded run cube by independent generator equations. Their signed defining subgroup records all exact and opposite-column relations; resolution is the shortest nonidentity defining word. The proofs establish the run count and show that an equal-column alias gives only a combined coefficient in an unrestricted linear model.
A complete mirror foldover reverses every factor sign, so a word of order changes by . It separates opposite-parity aliases while same-parity relations may remain. Reversing a selected set retains exactly the original defining words with even intersection with ; this formula lists residual aliases for partial follow-ups. Resolution and aliasing are design-matrix properties. Sparsity or hierarchy assumptions used to interpret a combined effect are additional modeling assumptions, not consequences of the design.
3 · Logical flowchart
4 · Definitions, theorems and proofs
Regular two-level fractions, signed defining relations, and resolution
Definition
Fix integers and , and put . Let with addition and multiplication modulo . For a factor subset , its incidence vector has coordinate at exactly when . Choose subsets whose incidence vectors are linearly independent over , and choose signs . Using the run space and product columns of Two-level full factorial designs and coded effects, define the regular fraction
The corresponding design is called a regular fractional factorial; The defining subgroup gives the exact alias relations ↗ proves that has exactly runs, including the case with one run. The choices are alternate fractions and are part of the definition.
A signed word is a pair with and . It evaluates at as and multiplies by
The identity word is . The signed generator evaluates to on . The defining subgroup is generated by ; the alias theorem proves it is exactly the subgroup of signed words that evaluate to on every run in .
For , their restricted sign columns are equal-column aliases when for every . They are signed aliases with sign when on every run; sign is the equal-column case and sign records opposite columns. The alias theorem gives the exact criterion for each sign.
The word length of is , the number of factor letters, independent of . The resolution is the minimum among nonidentity words ; it is written as a Roman numeral. Since and the generators are independent, has a nonidentity word of nonzero length.
Remarks
- Equal or opposite design columns make the corresponding unrestricted linear-model coefficients nonseparable; see Aliased factorial columns prevent separate coefficient identification. A hierarchy or sparsity premise is an additional modeling assumption, not a consequence of the fraction.
- The resolution records only the shortest defining word. It does not describe the complete alias structure; that is given by the whole subgroup .
Sources
Oehlert §§18.2 and 18.4 and NIST/SEMATECH §§5.3.3.4.2–5.3.3.4.4 support the generator, signed-relation, and resolution conventions. The run count and exact subgroup characterization are proved locally in the justified-by theorem.
The defining subgroup gives the exact alias relations
Statement
Let be the regular fraction determined by independent generator equations on the full sign design, and let be its signed defining subgroup. Then , , and consists of all signed words for which on every run in . For all factor subsets and signs ,
In particular, the columns agree exactly when ; a relation with sign means the columns are opposites.
Facts & Assumptions
Given: Integers and , subsets with linearly independent incidence vectors over , signs , the resulting regular fraction , and its signed defining subgroup .
Regular two-level fractions, signed defining relations, and resolution: independent factor subsets and signs specify the fraction by the equations .
Regular two-level fractions, signed defining relations, and resolution: the signed generators are , , and signed-word multiplication uses symmetric difference of factor subsets.
The incidence vectors are linearly independent; this is part of the stated generator hypothesis.
Proof
Write each run coordinate as and each generator sign as , with and . Let have rows . The equations for become . By [A1], has rank ; row reduction gives pivot coordinates and free coordinates, and every assignment of the free coordinates determines exactly one pivot assignment. Therefore .
Row-reduce to , where is invertible, and let be the pivot coordinates; write for row of . For a subset , put ; on a solution , . Substitution of the pivot equations gives , where . This exponent is constant over all free coordinates exactly when every displayed free-coordinate coefficient is zero. Since the pivot columns of are the identity, those equations say precisely that , so lies in the row space of .
If is outside the row space of , step 2.1 shows that is nonconstant on , so neither sign makes on every run. If is in the row space, then for a unique , and on we have . Exactly one sign makes on all of the nonempty set , and . Conversely, every such product evaluates to . Independence makes the choices of distinct, proving that is precisely the set of constant- signed words and .
For any , cancellation of repeated factors gives . Therefore on exactly when there. By step 3.1 and the definition of in [F2], this is equivalent to . The case is equality of columns, and is opposition.
Sources
Oehlert §18.2 and NIST/SEMATECH §§5.3.3.4.2–5.3.3.4.4 present signed generators, defining relations, and alias multiplication. The exact row-space characterization and both directions of the column criterion are proved here.
Aliased factorial columns prevent separate coefficient identification
Statement
Let be the columns for distinct factorial effects in a regular fraction, and suppose for a fixed . Consider the unrestricted fixed-design linear model , where these columns occur in and the distribution of the error vector does not depend on . A coefficient combination is identifiable if it has the same value for all parameter vectors giving the same distribution of . The contribution of these two columns depends only on ; neither coefficient is separately identifiable while the parameter space remains unrestricted. For equal columns (), the relevant combination is the sum; for opposite columns (), it is the difference. Additional runs can remove the ambiguity only if they break the column relation, and hierarchy or sparsity restrictions are extra modeling assumptions.
Facts & Assumptions
Given: A regular fraction with distinct effects , design columns satisfying , and the fixed-design model and error-law condition in the Statement.
Regular two-level fractions, signed defining relations, and resolution: signed-alias columns satisfy on every run in the fraction; sign is equality and sign is opposition.
Proof
The two terms in the fitted vector combine as . Thus the fitted vector depends on this pair only through , with all other coefficients fixed.
For any , replace by and by . Then , so the combination in step 1.1 and therefore are unchanged. Because the error law is independent of , the resulting response distributions are identical. Taking changes both coefficients, proving that neither is separately identifiable in the unrestricted model.
Sources
Oehlert §18.6 and NIST/SEMATECH §5.3.3.4.3 explain the ambiguity left by aliased effects and the extra role of sparsity assumptions. The parameter nonidentifiability argument is given explicitly above.
Full and partial foldovers separate aliases by parity
Statement
Let be a regular fraction with signed defining subgroup . For a specified set of factors , define by for and for . The partial foldover on is the run table formed by stacking the original runs with one transformed copy ; the complete mirror foldover is the case . Its residual signed defining subgroup is exactly
Thus an originally signed-aliased pair remains signed-aliased on the augmented table exactly when is even; if it is odd, the pair is separated. For a complete mirror foldover, a word of order changes sign by . Therefore aliases between effects of opposite order parity separate, while same-parity relations remain. The displayed formula gives the full residual alias set for every partial foldover; a selected-factor follow-up need not remove other aliases.
Facts & Assumptions
Given: , a regular fraction , its signed defining subgroup , a factor subset , and the stacked run table containing both and .
Regular two-level fractions, signed defining relations, and resolution: a signed word evaluates as , and is the defining subgroup of the original fraction.
The defining subgroup gives the exact alias relations: and are signed aliases with sign exactly when .
Proof
For a signed word and an original run , multiplication of its factors gives . In particular, for the multiplier is .
Every word in evaluates to on all original rows. By step 1.1 it evaluates to on every appended row. Since both blocks are present, it is a constant- relation on the stacked table exactly when is even. Any relation on the stacked table must also hold on its original rows and hence belong to ; therefore the residual subgroup is exactly .
For any two effects, on a run table exactly when the signed word evaluates to on every row. By step 2.1, an originally signed-aliased pair retains that relation on the stacked table precisely when is even; if it is odd, the relation changes sign between blocks and no constant signed alias remains. A pair not signed-aliased on the original fraction cannot become one because the original rows remain in the augmented table. When , , so exactly opposite-parity pairs separate among the original aliases, and even-word relations remain.
Sources
Oehlert §18.7 develops mirror foldover by reversing every sign. NIST/SEMATECH §§5.3.3.8.1–5.3.3.8.2 covers both mirror and selected-factor follow-ups. The subgroup formula and exact residual condition for arbitrary are proved here.
5 · Examples, counterexamples and false statements
None yet.
Sources
- Gary W. Oehlert, A First Course in Design and Analysis of Experiments, Chapter 18, §§18.2 and 18.4
- NIST/SEMATECH e-Handbook of Statistical Methods, §§5.3.3.4.2–5.3.3.4.4
- Gary W. Oehlert, A First Course in Design and Analysis of Experiments, Chapter 18, §18.2
- Gary W. Oehlert, A First Course in Design and Analysis of Experiments, Chapter 18, §18.6
- NIST/SEMATECH e-Handbook of Statistical Methods, §5.3.3.4.3, Confounding (also called aliasing)
- Gary W. Oehlert, A First Course in Design and Analysis of Experiments, Chapter 18, §18.7
- NIST/SEMATECH e-Handbook of Statistical Methods, §§5.3.3.8.1–5.3.3.8.2, Mirror-Image and Alternative Foldover Designs