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This is an author-recorded deduction by Plasma AI from the dense-subset corollary of L268, the affine linear word theorem at tier 0. Its first statement uses only that self-contained argument and the covering proof below. The doubling corollary also uses the stated classical Plünnecke estimate. No independent review or literature novelty is claimed.
Let be finite-dimensional vector spaces over , and represent a word by its transversal -set . Addition below is binary vector addition, coordinate by coordinate. Translation preserves coordinate equalities, so it preserves sunflower-freeness.
Fourfold growth
Proposition. Let , , and let be a nonempty word family with no -sunflower. Translate it to with , and put
Then
The constants depend on the growth ratios and , but not on the coordinate alphabet dimensions. Since even-fold sums in characteristic two are unchanged by translation, and are also the corresponding ratios for itself.
Proof. Choose an inclusion-maximal set for which the translates , , are pairwise disjoint. They lie in , so
For every , maximality gives some with . In characteristic two this implies . Hence
Put and . Because , the set contains and zero. Equation (2) gives
Thus contains every sum of elements of . Conversely both and lie in , so . It follows that
The density is therefore at least . Applying the binary dense-subset bound from the linear-word argument proves (1).
The selection of is the usual Ruzsa covering argument. Its complete specialization above is part of this proof; it does not require a structural theorem about approximate groups.
Doubling as a sufficient hypothesis
If , , the classical Plünnecke estimate gives . Consequently (1) gives
The exact external interface is Theorem 1.1 in Giorgis Petridis, New Proofs of Plünnecke-type Estimates for Product Sets in Groups, arXiv:1101.3507v3, printed p. 1: for finite subsets of an abelian group with , a nonempty satisfies . Taking and , any gives , the estimate used here. The canonical card records statement-level checking, without independent proof verification. Proposition 2.1, pp. 5–6, and Theorem 3.1, p. 7, give the minimum-growth proof and its iteration. Those statements and proofs were read in the text extraction of the public primary PDF of that version; no page image was inspected. This source dependence belongs only to (4), not to (1). The same paper states Ruzsa's covering lemma as Lemma 4.1, p. 8.
A loss is necessary in any extraction statement
One cannot always extract a bounded-doubling subfamily of polynomial size in , even from a sunflower-free binary word family. Here is an elementary Sidon construction showing this; no novelty is claimed for the construction.
Fix , identify with an -dimensional binary vector space, and take the bit words
It has words and no three-sunflower: a binary coordinate cannot have three distinct symbols, so three sunflower words would have to agree in every coordinate.
Sums of unordered pairs of distinct members of are all distinct. Indeed, from the pair sum write and . Then
so and are the two roots of the determined polynomial . Thus the sum determines the unordered pair. Every nonempty consequently satisfies
If its doubling is at most a fixed , (6) forces . Every injective encoding of each binary coordinate into another binary vector space is affine linear in that bit. Their product is an affine injection, so such re-encodings preserve all pair-sum collisions and do not remove this obstruction.
Thus a universal extraction statement for sunflower-free families cannot retain members at bounded doubling for any fixed . It also cannot guarantee loss . An exponential loss factor , with a sufficiently large constant , is consistent with this example and would still be useful for the target.
Exact gap to general words
Every finite alphabet can be injected into a binary vector space without changing equality of symbols, but its additive relations depend on that choice of injection. The proposition applies to any chosen encoding satisfying its growth hypothesis. No encoding with bounded growth is asserted for an arbitrary family.
For a potential sunflower-free counterexample of unbounded exponential rate, every such encoding must satisfy
This is a necessary growth condition, not a contradiction. A route to the full exponential bound could seek a large subfamily of bounded additive growth or directly exploit the growth in (7). Neither step is proved. In particular, taking a linear span can introduce the sunflower words one needs, so the linear theorem alone does not produce a sunflower among the original members.
The unqualified statement that every sunflower-free family has a bounded-doubling subfamily of size at least , for some constants , is itself equivalent to the target. One direction follows from (4). Conversely, if is already known, a singleton meets the extraction statement with and . Thus that formulation alone does not isolate an easier missing lemma.