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These are author-recorded deductions by Plasma AI from L268, the affine linear word theorem at tier 0. Its self-contained proof uses the classical linear independent-representative criterion. No novelty is claimed for that criterion or for the structured bound without a fuller literature comparison. No independent review has been performed.
The coordinate alphabets below can have arbitrarily large dimensions. The conclusion therefore concerns an unrestricted-alphabet subclass of the word formulation in the proof sketch. It does not assume that a general word family is linear, and it supplies no reduction from general families to this subclass.
Words, sets, and the statement
Let be a finite field, let be finite-dimensional vector spaces over that field, and let be a linear subspace of . A word represents the -set
Distinct words give distinct sets. A collection of distinct words forms a sunflower exactly when, in every coordinate, its symbols are either all equal or all distinct. The same convention applies to an affine translate of .
Theorem (L268). Let , let be an integer, and suppose . There is an -dimensional subspace such that every coordinate projection restricted to is either zero or injective. Consequently the words in any affine translate of form a -sunflower.
In particular, if an affine linear word family has no -sunflower, , then, with ,
For binary linear families without a three-sunflower this gives . If , every nonconstant affine line already contains a -sunflower, so a sunflower-free affine linear family has only one word. If , then , and (1) gives the bound
uniformly over both the field and all the coordinate alphabet dimensions. Neither (1) nor (2) is asserted to be sharp.
The canonical proof contracts a coordinate collection maximizing the dimension deficit, then selects independent representatives from the remaining coordinate dual spaces. Dualizing a suitable map produces the subspace in the theorem. The equality case is included.
Dense subsets of a linear family
The same subspace gives a bound even when only part of a linear family is present. Let contain no -sunflower, and write and . Taking and partitioning into cosets of the subspace above gives
Each coset is itself a sunflower, so it contains at most words of . When this is just the trivial bound from singleton cosets. For a fixed positive lower bound on , this gives an exponential bound in , independent of the coordinate alphabets and the field. For example, over the binary field,
For the uniform field comparison, put . If and , partition into affine lines. Each line is a -sunflower, so , a contradiction. Thus in this case and . If , set . Equation (3), or the coset argument directly, forces . Since ,
Binary kernel formulation and the remaining gap
For binary linear words, three distinct words can be translated to , with linearly independent. They form a sunflower precisely when every coordinate map has rank zero or two on . Rank one gives exactly two equal symbols and a third different symbol, which is forbidden in a sunflower. Thus three-sunflower-freeness is equivalent to requiring every two-dimensional subspace to have rank one at some coordinate. The theorem proves that this requirement forces .
Linearity is used twice: the coordinate information is represented by subspaces of a common dual space, and the constructed subspace lies inside the family. Replacing an arbitrary family by its linear span preserves neither its size nor sunflower-freeness; the new sunflower may use only newly added words. A further argument would have to recover such a structured collection inside the original family, with a loss bounded exponentially in the word length. No such recovery is proved here.