5 Finite field model
If \(A_1,A_2,S\subseteq \mathbb {F}_q^n\) are such that \(A_1\) and \(A_2\) both have density at least \(\alpha \) then there is a subspace \(V\) of codimension
such that
(In this proof we write \(G=\mathbb {F}_q^n\).) Let \(k=\lceil \mathcal{L}{(}\epsilon \alpha /4)\rceil \). Note that \(\lvert A_1+G\rvert =\lvert G\rvert \leq \alpha ^{-1}\lvert A\rvert \). Furthermore, \(\lvert A_2\rvert /\lvert S\rvert \geq \alpha \). Therefore by Theorem 1.8 there exists some \(T\subseteq G\) with
such that
Let \(\Delta =\Delta _{1/2}(\mu _T)\) and
Note that
and
Therefore
In particular it suffices to show that, for any \(v\in V\),
By the triangle inequality and construction of \(T\), it suffices to show that
By the Fourier transform we have, for any \(x\in G\),
Therefore the left-hand side of the desired inequality is, by the triangle inequality, at most
By choice of \(v\in V\) the summand vanishes when \(\gamma \in \Delta \). When \(\gamma \not\in \Delta \) the summand is bounded above by
Therefore the left-hand side of the desired inequality is at most
using the trivial bound \(\lvert \widehat{1_{S}}\rvert \leq \left\lvert S\right\rvert \). By the Cauchy-Schwarz inequality the sum on the right is at most
By Parseval’s identity this is at most \(\alpha ^{-1}\). Therefore the desired inequality follows from
It remains to check the codimension of \(V\). For this, let \(\Delta '\subseteq \Delta \) be as provided by Chang’s lemma, Lemma 2.12, so that
Let
It follows that \(W\leq V\), so it suffices to bound the codimension of \(W\). This we can bound trivially using the bound from Chang’s lemma and the fact that \(\mathcal{L}{(}\delta )=\log (e^2/\delta )\leq 2+\log (1/\delta )\leq 4\log (1/\delta )\), provided \(\log (1/\delta )\geq 1\), so
where
so
and now use \(\mathcal{L}{(}\epsilon \alpha /4)\leq 2\mathcal{L}{(}\epsilon \alpha )\), say.
For any function \(f:G\to \mathbb {C}\) and integer \(k\geq 1\)
To finish, similar trick to unbalancing.
For any function \(f\) with \(\sum f(x)=1\)
Expand everything out.
For any function \(f\) with \(\sum f(x)=1\)
Expand everything out.
Let \(\epsilon {\gt}0\) and \(\mu \equiv 1/N\). If \(A,C\subseteq G\), where \(C\) has density at least \(\gamma \), and
then, if \(f=(\mu _A-1/N)\), \(\lVert f\circ f\rVert _{p(\mu )} \geq \epsilon /2N\) for \(p=2\lceil \mathcal{L}{(}\gamma )\rceil \).
By Hölder’s inequality, for any \(p\geq 1\)
In particular if we choose \(p=2\lceil \mathcal{L}{(}\gamma )\rceil \) then \(\gamma ^{-1/p}\leq e^{1/2}\leq 2\) and so we deduce that, by Lemma 5.3,
It remains to use Lemmas 5.3 and 5.4 and apply Lemma 5.2, and note that we can pass from the \(L^p\) norm to the \(L^p(\mu )\) norm losing a factor of \(N^{1/p}\).
Let \(\epsilon \in (0,1)\). If \(A,C\subseteq \mathbb {F}_q^n\), where \(C\) has density at least \(\gamma \), and
then there is a subspace \(V\) of codimension
such that \(\lVert 1_{A}\ast \mu _V\rVert _\infty \geq (1+\epsilon /32)\alpha \).
By Lemma 5.5, if \(f=\mu _A-1/N\),
where \(p=2\lceil \mathcal{L}{(}\gamma )\rceil \leq 4\mathcal{L}{(}\gamma )\). By Lemma 3.2 there exists some \(p'\) such that
such that
By Lemma 5.4 \(f\circ f+1/N=\mu _A\circ \mu _A\).
Let \(q=2\lceil p'+2^8\epsilon ^{-2}\log (64/\epsilon )\rceil \). By Corollary 4.3, there are \(A_1,A_2\), both of density \(\geq \alpha ^{2q}\) such that
where
Since
we know
By Theorem 5.1 (applied with \(\epsilon \) replaced by \(\epsilon /32\)) there is a subspace \(V\) of codimension
such that
Using \(\mathcal{L}{(}xy)\leq x^{-1}\mathcal{L}{(}y)\) we have
and we also use \(\mathcal{L}{(}x^y)\leq y\mathcal{L}{(}x)\) to simplify the codimension bound to
We further note that (using \(\log x\leq x\) say)
Therefore the desired codimension bound follows. Finally, by definition of \(S'\), it follows that
and the proof is complete.
If \(A\subseteq G\) has no non-trivial three-term arithmetic progressions and \(G\) has odd order then
Expand out using definitions.
Let \(q\) be an odd prime power. If \(A\subseteq \mathbb {F}_q^n\) with \(\alpha =\left\lvert A\right\rvert /q^n\) has no non-trivial three-term arithmetic progressions then
Let \(t\geq 0\) be maximal such that there is a sequence of subspaces \(\mathbb {F}_q^n=V_0\geq \cdots \geq V_t\) and associated \(A_i\subseteq V_i\) with \(A_0=A\) such that
for \(0\leq i\leq t\) there exists \(x_i\) such that \(A_i\subseteq A-x_i\),
with \(\alpha _i=\left\lvert A_i\right\rvert /\left\lvert V_i\right\rvert \) we have
\[ \alpha _{i+1}\geq \frac{65}{64}\alpha _i \]for \(0\leq i{\lt}t\), and
- \[ \mathrm{codim} (V_{i+1}) \leq \mathrm{codim}(V_i)+O(\mathcal{L}{(}\alpha )^8) \]
for \(0\leq i{\lt}t\). (here the second summand should be replaced with whatever explicit codimension bound we get from the above).
Note this is well-defined since \(t=0\) meets the requirements, and this process is finite and \(t \ll \mathcal{L}{(}\alpha )\), since \(\alpha _i\leq 1\) for all \(i\). Therefore
Suppose first that
In this case we now apply Proposition 5.6 to \(A_t\subseteq V_t\) with \(\epsilon =1/2\) (note that \(N=\lvert V_t\rvert \) and all inner product, \(\mu \) etc, are relative to the ambient group \(V_t\) now). Therefore there is a subspace \(V\leq V_t\) of codimension (relative to \(V_t\)) \(\ll \mathcal{L}{(}\alpha )^8\) such that there exists some \(x\in V_t\) with
which contradicts the maximality of \(t\), letting \(V_{t+1}=V\) and \(A_{t+1}=(A_t-x)\cap V_t\).
Therefore
By Lemma 5.7 the left-hand side is equal to \(\lvert V_t\rvert /\lvert A_t\rvert ^2\), and therefore
By the codimension bound the right-hand side is at most
If \(\alpha ^2 \leq 2q^{-n/2}\) we are done, otherwise we deduce that \(\mathcal{L}{(}\alpha )^9 \gg n\) as required.