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Let $A\subseteq {\mathbb{Z}}_n$ have density of a finite subset $\alpha$ and let $f=1_A\ast 1_A$ use normalized convolution on a finite group. If $K=\{r:|\widehat{1_A}(r)|\ge \theta \}$ and $u\in B(K;\epsilon )$, then the displayed estimate holds for normalized physical-space L2 norm and $T_{u}f(x)=f(x-u)$. The Bohr set controls the translation factors on the large spectrum; the fourth Fourier moment bound for an indicator function controls their total weight. Outside $K$, use $|1-e^{2\pi iru/n}|\le 2$ and Parseval identity on a finite group.

For a scalar function on a finite abelian group, its coefficient at an additive character $\chi$ is the displayed uniform expectation. On ${\mathbb{F}}_3^d$, write ${\chi }_{\xi }(x)=e^{2\pi i\xi \cdot x/3}$. The coefficient at the constant character is the mean of $f$, and the Parseval identity on a finite group becomes ${\sum }_{\chi }|\hat{f}(\chi ){|}^2=\mathbb{E}|f{|}^2$ after relabelling characters to match the transform convention.

For a scalar function on a finite group, one normalized transform convention assigns the matrix ${\mathbb{E}}_{x}f(x)\rho (x)$ to each chosen unitary irreducible representation. This map is a weighted Hilbert space isomorphism by the Parseval identity on a finite group. Another common convention uses $\rho (x{)}^{\ast }$; the corresponding convolution theorem on a finite group then reverses the matrix product order for $(f\ast g)(x)={\mathbb{E}}_{y}f(y)g(y^{-1}x)$.

For a subset $A$ of a finite abelian group of density of a finite subset $\alpha$, take normalized Fourier coefficients on a finite abelian group and an unnormalized sum over frequencies. The bound follows from $|\widehat{1_A}(\chi )|\le \alpha$ and the Parseval identity on a finite group ${\sum }_{\chi }|\widehat{1_A}(\chi ){|}^2=\alpha$. It bounds the energy of the normalized convolution on a finite group $1_A\ast 1_A$.

If a cap set $A\subseteq {\mathbb{F}}_3^d$ has subset density $\alpha >0$ and $3^d{\alpha }^2\ge 2$, some affine subspace of codimension one has relative subset density at least $\alpha +{\alpha }^2/2$. The zero-sum count and the Parseval identity on a finite group give a nonzero finite abelian Fourier coefficient of magnitude at least ${\alpha }^2/2$. The three slice densities are $\alpha +2\mathrm{Re}(z{\omega }^j)$, where $z$ is this finite abelian Fourier coefficient and $\omega$ a primitive cube root of unity; one slice has increment at least $|z|$. Translation preserves the zero-sum condition because the characteristic is three.

For the physical-space L2 norm use $\Vert h{\Vert }_2^2={\mathbb{E}}_x|h(x){|}^2$. By part (i) and the Parseval identity on a finite group,Split this sum into the large spectrum $K$ and its complement. Because $u$ belongs to the Bohr set in the question, for $r\in K$,Consequently the contribution from $K$ is at most ${\epsilon }^2{\sum }_r|\hat{a}(r){|}^4\le {\epsilon }^2{\alpha }^3$ by part (ii). Outside $K$, $|\hat{a}(r)|<\theta$, and $|1-{\omega }^{-ru}|\le 2$. Thus that contribution is at mostAdding the estimates provesThe argument also covers empty $A$ or empty $K$. As usual the radius and threshold are nonnegative; a negative radius makes the premise empty whenever $K$ is nonempty. The estimate expresses Bohr-set almost periodicity of a convolution: a translation of a function by an element of the Bohr set barely changes the large Fourier coefficients on a finite abelian group, while the small ones have little total energy.

Since $a$ is an indicator function of density of a finite subset $\alpha$, the triangle inequality gives $|\hat{a}(r)|\le {\mathbb{E}}_{x}a(x)=\alpha$ for every frequency. Also, character orthogonality and the Parseval identity on a finite group giveFor completeness, the character orthogonality used here iswhich follows by summing a finite geometric series. Expanding the squared Fourier coefficients on a finite abelian group and using this identity proves the displayed Parseval identity on a finite group directly.

Combining the uniform bound with that identity gives the fourth-moment boundIn particular, the Lp norm on the frequency side here is a sum, not a normalized average. This is the fourth Fourier moment bound for an indicator function.

A sufficient absolute constant is $\boxed{C=16}$. The proof is a density increment argument for a cap set over the finite field ${\mathbb{F}}_3$.

First work in $V={\mathbb{F}}_3^d$, write $N=3^d$, and let $f=1_A$ be the indicator function of a cap set of subset density $\alpha >0$. All expectations below are uniform. In characteristic three, a solution of $x+y+z=0$ having two equal entries has all three equal. Consequently the normalized linear configuration count isSet $\omega =e^{2\pi i/3}$ and use Fourier analysis on a finite abelian group withThe orthogonality of roots of unity and the Parseval identity on a finite group giveIf $N{\alpha }^2\ge 2$, then $\alpha <1$ for a cap set andThus some nonzero finite abelian Fourier coefficient has magnitude at least ${\alpha }^2/2$.

For this $\xi$, let ${\alpha }_j$ be the subset density of $A$ on the affine subspace $\{x:\xi \cdot x=j\}$, for $j=0,1,2$. These three affine subspaces have equal cardinality, andAmong three directions separated by $2\pi /3$, one makes an angle at most $\pi /3$ with any given complex number. Hence ${\max }_j({\alpha }_j-\alpha )\ge |\hat{f}(\xi )|$. Restricting to that hyperplane gives the hyperplane density increment for cap setsTranslate the affine subspace to its underlying vector space. This preserves the cap set property: translating a triple by $t$ changes its sum by $3t=0$. The same argument can therefore be iterated.

For completeness, the density increment iteration gives an explicit uniform bound. If $n<16$, the hypothesis $\alpha \ge 16/n$ is impossible. Suppose $n\ge 16$ and a cap set has ${\alpha }_0\ge 16/n$. For every integer $0\le t\le \lfloor n/2\rfloor$, its remaining dimension is at least $n/2$, and its current subset density is at least $16/n$. ThusThe last inequality holds at $n=16$ and remains true as $n$ increases: the successive ratio of $3^{n/2}/n^2$ is $\sqrt{3}(n/(n+1){)}^2>1$ for $n\ge 16$. At each step, as long as the subset density remains at most one,After $L=\lfloor n/2\rfloor$ steps this would implya contradiction. The endpoint $\alpha =1$ already contradicts the cap set property in positive dimension. This proves the claimed existence of three distinct points and the Meshulam bound for cap sets.

Use the following normalization for Fourier analysis on a finite group. Choose one unitary irreducible representation $\rho :G\to U(d_{\rho })$ from each equivalence class, including the trivial representation. For a scalar function $f:G\to \mathbb{C}$, putThis convention uses $\rho (x)$, rather than $\rho (x{)}^{\ast }$, in the Fourier transform on a finite group; it makes the normalized convolution on a finite group preserve multiplication order.

The needed representation theory consists of Maschke's theorem and unitarization of a finite-group representation, together with the Schur orthogonality relations:The regular representation contains $d_{\rho }$ copies of each $\rho$, so ${\sum }_{\rho }{d}_{\rho }^2=|G|$. Thus the scaled matrix coefficients $\sqrt{d_{\rho }}\rho (x{)}_{ij}$, and also their complex conjugates, form an orthonormal basis of all scalar functions on $G$. These facts imply Fourier inversion on a finite group and the Parseval identity on a finite group in the formsand henceIn particular, the transform is an isomorphism onto the direct sum of the matrix algebras $M_{d_{\rho }}(\mathbb{C})$, with the displayed weighted Hilbert-Schmidt inner product.

Define the normalized convolution on a finite group bySubstituting $x=yz$ and using the group representation identity yields the convolution theorem on a finite groupUnlike normalized convolution on a finite group on an abelian group, this product need not commute. If $\tilde{f}(x)=\overline{f(x^{-1})}$, then $\hat{\tilde{f}}(\rho )=\hat{f}(\rho {)}^{\ast }$. For left translation of a group function and right translation of a group function $L_{a}f(x)=f(a^{-1}x)$ and $R_{a}f(x)=f(xa)$,For an abelian group, every irreducible representation is one-dimensional; this reduces to Fourier analysis on a finite abelian group with characters relabelled by their inverses. These formulas establish the basic scalar theory, with all normalizations and multiplication orders fixed.

Now suppose every nontrivial irreducible representation has $d_{\rho }\ge m$. If $f$ is a mean-zero function, its component at the trivial representation is zero. The Parseval identity on a finite group gives, for each other $\rho$,Using the convolution theorem on a finite group, the Hilbert-Schmidt norm inequality $\Vert AB{\Vert }_{\mathrm{HS}}\le \Vert A{\Vert }_{\mathrm{op}}\Vert B{\Vert }_{\mathrm{HS}}$, and the Parseval identity on a finite group once more gives the product mixing in a quasirandom group estimateWrite $a,b,c$ for the subset density values of $A,B,C$, respectively, and let $f=1_A-a$, $g=1_B-b$ be balanced subset indicators. Since both are mean-zero functions, $1_A\ast 1_B=ab+f\ast g$. Their squared norms are $a(1-a)$ and $b(1-b)$. Also $\mathbb{E}(f\ast g)=0$, so the Cauchy-Schwarz inequality yieldsIf $abc>1/m$, the final bound is strictly smaller than $abc$. Thus the normalized number of pairs $(x,y)\in A\times B$ with $xy\in C$ is positive. Equivalently,This is the desired conclusion for a quasirandom group; the strict inequality ensures positivity rather than merely a nonnegative lower bound.