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Approximately symmetric forms far from being exactly symmetric

Published online by Cambridge University Press:  18 October 2022

Luka Milićević*
Affiliation:
Mathematical Institute of the Serbian Academy of Sciences and Arts, Belgrade, Serbia
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Abstract

Let $V$ be a finite-dimensional vector space over $\mathbb{F}_p$ . We say that a multilinear form $\alpha \colon V^k \to \mathbb{F}_p$ in $k$ variables is $d$ -approximately symmetric if the partition rank of difference $\alpha (x_1, \ldots, x_k) - \alpha (x_{\pi (1)}, \ldots, x_{\pi (k)})$ is at most $d$ for every permutation $\pi \in \textrm{Sym}_k$ . In a work concerning the inverse theorem for the Gowers uniformity $\|\!\cdot\! \|_{\mathsf{U}^4}$ norm in the case of low characteristic, Tidor conjectured that any $d$ -approximately symmetric multilinear form $\alpha \colon V^k \to \mathbb{F}_p$ differs from a symmetric multilinear form by a multilinear form of partition rank at most $O_{p,k,d}(1)$ and proved this conjecture in the case of trilinear forms. In this paper, somewhat surprisingly, we show that this conjecture is false. In fact, we show that approximately symmetric forms can be quite far from the symmetric ones, by constructing a multilinear form $\alpha \colon \mathbb{F}_2^n \times \mathbb{F}_2^n \times \mathbb{F}_2^n \times \mathbb{F}_2^n \to \mathbb{F}_2$ which is 3-approximately symmetric, while the difference between $\alpha$ and any symmetric multilinear form is of partition rank at least $\Omega (\sqrt [3]{n})$ .

Type
Paper
Copyright
© The Author(s), 2022. Published by Cambridge University Press

1. Introduction

For a function $f \colon G \to \mathbb{C}$ on a finite abelian group $G$ , the Gowers uniformity norms $\|\!\cdot\! \|_{\mathsf{U}^k}$ , introduced by Gowers in [Reference Gowers6] are given by the formula

\begin{align*} \|f\|_{\mathsf{U}^k}^{2^k} = \def \mbl{\mathop{\mathbb{E}}\limits }\mbl _{a_1, \ldots, a_k, x \in G} \Delta \kern -7.5pt\mbox{$\huge \kern0.9pt\raise 0.2ex\hbox{.}$}_{\,\,a_1} \ldots \Delta \kern -7.5pt\mbox{$\huge \kern0.9pt\raise 0.2ex\hbox{.}$}_{\,\,a_k}f(x), \end{align*}

where $\Delta \kern -7.5pt\mbox{$\huge \kern0.9pt\raise 0.2ex\hbox{.}$}_{\,\,a}$ stands for the discrete multiplicative derivative operator defined by $\Delta \kern -7.5pt\mbox{$\huge \kern0.9pt\raise 0.2ex\hbox{.}$}_{\,\,a} f(x) = f(x + a) \overline{f(x)}$ . Gowers introduced these norms in order to obtain a quantitative proof of Szemerédi’s theorem on arithmetic progressions, and they serve as a measure of the higher order quasirandomness of functions defined on finite abelian groups. A basic illustration of this phenomenon is given by the following fact: whenever $A \subset \mathbb{Z}/N \mathbb{Z}$ is a set of size $\delta N$ such that $\|{\mathbb{1}}_A - \delta \|_{\mathsf{U}^k} = o(1)$ , then $A$ has $(1 + o(1)) \delta ^{k+1}N^2$ arithmetic progressions of length $k + 1$ . This motivates the study of functions which have large uniformity norms. The results which describe such functions $f \colon G \to \mathbb{D} = \{z \in \mathbb{C} \colon |z| \leq 1\}$ are referred to as the inverse theorems for uniformity norms and typically have the following form: given the group $G$ and order $k$ , there is some algebraically structured family of functions $\mathcal{Q}$ , depending on $G$ and $k$ , such that whenever $f \colon G \to \mathbb{D}$ is a function with the norm bound $\|f\|_{\mathsf{U}^k} \geq c$ , then one may find an obstruction function $q \in \mathcal{Q}$ such that $\Big |{\mathop{\mathbb{E}}}_{x \in G} f(x) \overline{q(x)}\Big |\geq \Omega _{c,k}(1)$ . One also requires that $\mathcal{Q}$ is roughly minimal in the sense that an approximate version of a converse holds; namely whenever $\Big |{\mathop{\mathbb{E}}}_{x \in G} f(x) \overline{q(x)}\Big |\geq c$ holds for a function $f \colon G \to \mathbb{D}$ and obstruction $q \in \mathcal{Q}$ , then we also have the norm bound $\|f\|_{\mathsf{U}^k} \geq \Omega _{c, k}(1)$ .

The family of obstruction functions can be taken to be nilsequences (which we will not define here) when $G = \mathbb{Z}/N\mathbb{Z}$ , as shown by Green, Tao and Ziegler [Reference Green, Tao and Ziegler5], and phases of non-classical polynomials (which we shall define later) when $G= \mathbb{F}_p^n$ , which follows from results of Bergelson, Tao and Ziegler [Reference Bergelson, Tao and Ziegler1] and Tao and Zielger [Reference Tao and Ziegler20]. Another approach to these questions is via theory of nilspaces developed in papers by Szegedy [Reference Szegedy19], Camarena and Szegedy [Reference Camarena and Szegedy2], and Candela, González-Sánchez and Szegedy [Reference Candela, González-Sánchez and Szegedy3]. (See also detailed treatments of this theory in [Reference Gutman, Manners and Varjú9, Reference Gutman, Manners and Varjú10, Reference Gutman, Manners and Varjú11].)

The inverse theorems mentioned above are either ineffective or give poor bounds and, given the applications, it is of interest to make the proofs quantitative. For general $k$ , this was achieved by Manners [Reference Manners14] for the case when $G = \mathbb{Z}/N\mathbb{Z}$ and by Gowers and the author in [Reference Gowers and Milićević8] for the case when $G = \mathbb{F}_p^n$ , provided $p \geq k$ , which is known as the high-characteristic case, when the family of obstruction functions reduces to polynomials in the usual sense. Previously, quantitative bounds were obtained in the inverse question for $\|\!\cdot\! \|_{\mathsf{U}^3}$ norm by Green and Tao [Reference Green and Tao4] for abelian groups of odd order and by Samorodnitsky when $G = \mathbb{F}_2^n$ in [Reference Samorodnitsky18] (see also a very recent work of Jamneshan and Tao [Reference Jamneshan and Tao12]).

On the other hand, in the so-called low characteristic case, where $p \lt k$ , the bounds are still ineffective. However, even in that case [Reference Gowers and Milićević8] gives a strong partial result. In the theorem below $\omega = \exp (2 \pi i/ p)$ .

Theorem 1. (Gowers and Milićević [Reference Gowers and Milićević8]). Suppose that $f \colon \mathbb{F}^n_p \to \mathbb{D}$ is a function such that $\|f\|_{\mathsf{U}^{k}} \geq c$ . Then there exists a multilinear form $\alpha \colon \underbrace{\mathbb{F}^n_p \times \mathbb{F}^n_p \times \ldots \times \mathbb{F}^n_p}_{k-1} \to \mathbb{F}_p$ such that

(1) \begin{align} \Big |\def \mbl{\mathop{\mathbb{E}}\limits }\mbl _{x, a_1, \ldots, a_{k-1}} \Delta \kern -7.5pt\mbox{$\huge \kern0.9pt\raise 0.2ex\hbox{.}$}_{\,\,a_1} \ldots \Delta \kern -7.5pt\mbox{$\huge \kern0.9pt\raise 0.2ex\hbox{.}$}_{\,\,a_{k-1}} f(x) \omega ^{\alpha (a_1, \ldots, a_{k-1})}\Big | \geq \Big (\exp ^{(O_k(1))}(O_{k,p}(c^{-1}))\Big )^{-1}. \end{align}

From now on, we focus on $G = \mathbb{F}_p^n$ in the rest of the introduction. Before proceeding with the discussion, we need to recall the notion of the partition rank of a multilinear form introduced by Naslund in [Reference Naslund17]. It is defined to be the least number $m$ such that a multilinear form $\alpha \colon G^d \to \mathbb{F}_p$ can be expressed as

\begin{equation*}\alpha (x_1, \ldots, x_d) = \sum _{i \in [m]} \beta _i(x_j \colon j \in I_i) \gamma _i(x_j \colon j \in [d] \setminus I_i),\end{equation*}

where $\beta _i \colon G^{I_i} \to \mathbb{F}_p$ and $\gamma _i \colon G^{[d] \setminus I_i} \to \mathbb{F}_p$ are multilinear maps for $i \in [m]$ . We denote the quantity $m$ by $\textrm{prank}(\alpha )$ . We may think of partition rank as a measure of distance between two multilinear forms; the smaller the partition rank of their difference is, the closer they are. As an illustration of this principle in the context of Theorem 1, we have the following lemma.

Lemma 2. Suppose that a function $f \colon G \to \mathbb{D}$ and a multilinear form $\alpha \colon G^{k-1} \to \mathbb{F}_p$ satisfy

\begin{align*} \Big |\def \mbl{\mathop{\mathbb{E}}\limits }\mbl _{x, a_1, \ldots, a_{k-1}} \Delta \kern -7.5pt\mbox{$\huge \kern0.9pt\raise 0.2ex\hbox{.}$}_{\,\,a_1} \ldots \Delta \kern -7.5pt\mbox{$\huge \kern0.9pt\raise 0.2ex\hbox{.}$}_{\,\,a_{k-1}} f(x) \omega ^{\alpha (a_1, \ldots, a_{k-1})}\Big | \geq c. \end{align*}

Let $\beta \colon G^{k-1} \to \mathbb{F}_p$ be another multilinear form such that ${prank}(\alpha - \beta ) \leq r$ . Then

\begin{align*} \Big | \def \mbl{\mathop{\mathbb{E}}\limits }\mbl _{x, a_1, \ldots, a_{k-1}} \Delta \kern -7.5pt\mbox{$\huge \kern0.9pt\raise 0.2ex\hbox{.}$}_{\,\,a_1} \ldots \Delta \kern -7.5pt\mbox{$\huge \kern0.9pt\raise 0.2ex\hbox{.}$}_{\,\,a_{k-1}} f(x) \omega ^{\beta (a_1, \ldots, a_{k-1})}\Big | \geq c p^{-2r}. \end{align*}

Returning to the discussion of the inverse theorems for uniformity norms in finite vector spaces, the deduction of the inverse theorem when $p \geq k$ proceeds by studying the multilinear form $\alpha$ provided by the Theorem 1. The symmetry argument of Green and Tao [Reference Green and Tao4] and the good bounds for the analytic versus partition rank problem [Reference Janzer13, Reference Milićević15] show that $\alpha$ is $r$ -approximately symmetric for some $r = \exp ^{(O_k(1))}(O_{k,p}(c^{-1}))$ , by which we mean that the partition rank of the multilinear form $(x_1, \ldots, x_{k-1}) \mapsto \alpha (x_1, \ldots, x_{k-1}) - \alpha (x_{\pi (1)}, \ldots, x_{\pi (k-1)})$ is at most $r$ for all $\pi \in \textrm{Sym}_{k-1}$ . To finish the proof of the inverse theorem, at the very last step we invoke the assumption $p \geq k$ , which allows us to define the symmetric multilinear map $\sigma \colon G^{k-1} \to \mathbb{F}_p$ by

\begin{equation*}\sigma (a_1, \ldots, a_{k-1}) = \frac {1}{(k-1)!} \sum _{\pi \in \textrm {Sym}_{k-1}} \alpha (a_{\pi (1)}, \ldots, a_{\pi (k-1)}),\end{equation*}

which satisfies $\textrm{prank} (\sigma - \alpha ) \leq (k-1)! r$ since $\alpha$ is $r$ -approximately symmetric. Lemma 2 allows us to replace $\alpha$ by $\sigma$ . As it turns out, when $p \geq k$ the polarization identity shows that all symmetric forms are iterated discrete additive derivatives of polynomials (see the definition of non-classical polynomials below for the definition of discrete additive derivatives), showing that the function $x \mapsto f(x) \omega ^{\alpha (x,\ldots, x)}$ has large $\|\!\cdot\! \|_{\mathsf{U}^{k-1}}$ norm, which completes the proof (we assume the inverse theorem for the $\|\!\cdot\! \|_{\mathsf{U}^{k-1}}$ norm as inductive hypothesis).

Low characteristic obstacles

Let us now define non-classical polynomials which are the relevant obstructions in the low characteristic case. Similarly to discrete multiplicative derivative, for $a \in G$ we define discrete additive derivative operator $\Delta _a$ by expression $\Delta _a f(x) = f(x + a) - f(x)$ for a function $f \colon G \to H$ from $G$ to another abelian group $H$ . A function $f \colon \mathbb{F}_p^n \to \mathbb{T} = \mathbb{R}/\mathbb{Z}$ is a non-classical polynomial of degree at most $d$ if $\Delta _{a_1} \ldots \Delta _{a_{d+1}} f(x) = 0$ for all $a_1, \ldots, a_{d+1}, x \in \mathbb{F}_p^n$ . (See [Reference Tao and Ziegler20] for further details, including alternative description of non-classical polynomials.)

The first obvious question is, given that the family of obstruction functions is richer when $p \lt k$ due to emergence of non-classical polynomials, how could we get from multilinear forms in (1) to a non-classical polynomial? It turns out that, as in the case of classical polynomials, the iterated discrete additive derivative of a non-classical polynomial (applied the right number of times) is a symmetric multilinear form and it is possible to give characterizations of the forms that arise in this way. The following lemma of Tidor [Reference Tidor21], building upon earlier work of Tao and Ziegler, achieves this goal.

Lemma 3. (Tidor [Reference Tidor21]). Let $\alpha \colon G^{k-1} \to \mathbb{F}_p$ be a multilinear form. Then $\alpha$ is the discrete additive derivative of order $k-1$ of a non-classical polynomial of degree $k-1$ if and only if $\alpha$ is symmetric and

(2) \begin{equation} \alpha (\underbrace{x, \ldots, x}_p, y, a_{p+2}, \ldots, a_{k-1}) = \alpha (x, \underbrace{y, \ldots, y}_p, a_{p+2}, \ldots, a_{k-1}) \end{equation}

holds for all $x,y,a_{p+2},\ldots a_{k-1} \in G$ .

We say that a multilinear form is strongly symmetric if it is symmetric and obeys the additional condition (2), as in the lemma above. Therefore, we may again pass from a multilinear form $\alpha$ to the desired obstruction, provided we can show some additional properties of $\alpha$ .

In fact, in his work on the inverse question for $\|\!\cdot\! \|_{\mathsf{U}^4}$ norm in the case of low characteristic [Reference Tidor21], Tidor first showed that one may assume that $\alpha$ is symmetric and then used that information to prove strong symmetry. Given all this, Tidor formulated the following conjecture, which he proved for the case of trilinear maps.

Conjecture 4. (Tidor [Reference Tidor21]). Let $\alpha \colon G^k \to \mathbb{F}_p$ be an $r$ -approximately symmetric multilinear form. Then there exists a symmetric multilinear form $\sigma \colon G^k \to \mathbb{F}_p$ such that $\textrm{prank}(\sigma - \alpha ) \leq O(r^{O(1)})$ (where the implicit constants may depend on $p$ and $k$ ).

The main result of this paper is that, despite its formulation being rather natural, the conjecture above is false.

Theorem 5. Given a sufficiently large positive integer $n$ there exists a multilinear form $\alpha \colon \mathbb{F}_2^n \times \mathbb{F}_2^n \times \mathbb{F}_2^n \times \mathbb{F}_2^n \to \mathbb{F}_2$ which is 3-approximately symmetric and ${prank}(\sigma - \alpha ) \geq \Omega (\sqrt [3]{n})$ for all symmetric multilinear forms $\sigma$ .

Regarding the approach to a quantitative inverse theorem for uniformity norms in the case of low characteristic, this means that one needs to work more closely with the assumption (1). In fact, it is possible to overcome the additional difficulties identified in this paper, and to prove a quantitative inverse theorem for uniformity norms $\mathsf{U}^5$ and $\mathsf{U}^6$ in the case of low characteristic.

Theorem 6. (Quantitative inverse theorem for $\mathsf{U}^5$ and $\mathsf{U}^6$ norms, Corollary 6 in [Reference Milićević16]). Let $k \in \{5,6\}$ . Suppose that $f \colon \mathbb{F}^n_2 \to \mathbb{D}$ is a function such that $\|f\|_{\mathsf{U}^{k}} \geq c$ . Then there exists a non-classical polynomial $q \colon \mathbb{F}_2^n \to \mathbb{T}$ of degree at most $k-1$ such that

\begin{align*} \Big | \def \mbl{\mathop{\mathbb{E}}\limits }\mbl _{x} f(x) \exp \Big (2 \pi i q(x)\Big )\Big | \geq \Big (\exp ^{(O_k(1))}(O_{k,p}(c^{-1}))\Big )^{-1}. \end{align*}
Counterexample overview

The multilinear form $\alpha \colon \mathbb{F}_2^n \times \mathbb{F}_2^n \times \mathbb{F}_2^n \times \mathbb{F}_2^n \to \mathbb{F}_2$ that will serve us as a counterexample will have the crucial properties that it is symmetric in the first three variables, while satisfying the identity

\begin{equation*}\alpha (x,y,z,w) + \alpha (w,y,z,x) = \rho (x,y)\rho (z,w) + \rho (x,z) \rho (y,w)\end{equation*}

for some bilinear map $\rho$ of high rank.Footnote 1 It is easy to see that such a form $\alpha$ is necessarily 3-approximately symmetric. On the other hand, to prove that $\alpha$ is far from symmetric multilinear forms we use bilinear regularity method, used in [Reference Gowers and Milićević7], which consists of passing to subspaces where the rank of bilinear maps is large and then relying on the high-rank property to obtain equidistribution of values of the relevant bilinear maps. Using the usual graph-theoretic regularity methodFootnote 2 would give much worse bounds in Theorem 5.

2. Preliminaries

For the rest of the paper, fix a positive integer $n$ and set $G = \mathbb{F}_2^n$ . In this preliminary section we setup the notation for an action of the symmetry group $\textrm{Sym}_4$ on $G^4$ , we recall the notion and properties of the rank of bilinear maps and we discuss the bilinear regularity method needed for the proof of Theorem 5.

Action of $\textrm{Sym}_4$

We define a natural action of $\textrm{Sym}_4$ on $G^4$ given by permuting the coordinates, which is similar to the left regular representation of the group $\textrm{Sym}_4$ . For a permutation $\pi \in \textrm{Sym}_4$ we misuse the notation and write $\pi \colon G^4 \to G^4$ for the map defined by $\pi (x_1, x_2, x_3, x_4) = (x_{\pi ^{-1}(1)},$ $x_{\pi ^{-1}(2)},$ $x_{\pi ^{-1}(3)},$ $x_{\pi ^{-1}(4)})$ . It is easy to see that this defines an action on $G^4$ . Hence, given a multilinear form $\alpha \colon G^4 \to \mathbb{F}_2$ and a permutation $\pi$ inducing the map $\pi \colon G^4 \to G^4$ , we may compose the two maps and the composition $\alpha \circ \pi$ would also be a multilinear form. For example if $\pi = (1\,\,2\,\,3)$ in the cycle notation, then $\alpha \circ \pi (x_1, x_2, x_3, x_4) = \alpha (x_3, x_1, x_2, x_4)$ . With this notation, our main result can be expressed as follows: there exists a multilinear form $\alpha \colon G^4 \to \mathbb{F}_2$ such that $\alpha + \alpha \circ \pi$ is of low partition rank for all $\pi \in \textrm{Sym}_4$ and $\alpha$ differs from any symmetric multilinear form by a multilinear form of large partition rank.

Rank of bilinear maps

Let $U, V$ be finite-dimensional vector spaces over $\mathbb{F}_2$ . Let $\beta \colon U \times V \to \mathbb{F}_2$ be a bilinear form. Fix a scalar product on $V$ and let $B \colon U \to V$ be the map such that $\beta (x,y) = B(x) \cdot y$ for all $x \in U$ and $y \in V$ . We define the rank of $\beta$ to be the rank of $B$ . The following lemma gives a few other characterizations of the rank and shows that the rank is well-defined (this follows from part (i)).

Lemma 7. (Alternative characterizations of rank). Let $\beta \colon U \times V \to \mathbb{F}_2$ be a bilinear form.

  1. i. We have ${\mathop{\mathbb{E}}}_{x \in U,y \in V} (\!-\!1)^{\beta (x,y)} = 2^{-\textrm{rank} \beta }$ .

  2. ii. Whenever $\beta (x,y) = \sum _{i \in [s]} u_i(x) v_i(y)$ for linear forms $u_1, \ldots, u_s \colon U \to \mathbb{F}_2$ and $v_1, \ldots, v_s \colon V \to \mathbb{F}_2$ such that $u_1, \ldots, u_s$ are linearly independent and $v_1, \ldots, v_s$ are linearly independent, then $s = \textrm{rank} \beta$ .

  3. iii. The rank of $\beta$ is the least number $s$ such that $\beta (x,y) = \sum _{i \in [s]} u_i(x) v_i(y)$ for linear forms $u_1, \ldots, u_s \colon U \to \mathbb{F}_2$ and $v_1, \ldots, v_s \colon V \to \mathbb{F}_2$ .

Proof. Proof of (i). If $\beta (x,y) = B(x) \cdot y$ for all $x \in U, y \in V$ , then

\begin{align*} \def \mbl{\mathop{\mathbb{E}}\limits }\mbl _{x \in U,y \in V} (\!-\!1)^{\beta (x,y)} = \def \mbl{\mathop{\mathbb{E}}\limits }\mbl _{x \in U, y \in V} (\!-\!1)^{B(x) \cdot y} = \def \mbl{\mathop{\mathbb{E}}\limits }\mbl _{x \in U}{\mathbb{1}}(B(x) = 0) = \def \mbl{\mathop{\mathbb{E}}\limits }\mbl _{x \in U}{\mathbb{1}}(x \in \ker B) = |\ker B|/ |U|. \end{align*}

By the rank-nullity theorem $|\ker B|/|U| = 1/|\textrm{Im} B|$ . The rank of $\beta$ is defined as the dimension of the image space $\textrm{Im} B$ , hence

\begin{align*} \def \mbl{\mathop{\mathbb{E}}\limits }\mbl _{x \in U,y \in V} (\!-\!1)^{\beta (x,y)} = 2^{-\textrm{rank}\beta }, \end{align*}

as desired.

Proof of (ii). Let us define linear map $u \colon U \to \mathbb{F}_2^s$ by concatenating forms $u_i$ , namely $u = (u_1, \ldots, u_s)$ . We claim that $u$ is surjective. If it was not surjective, the subspace $\textrm{Im} u \leq \mathbb{F}_2^s$ would be proper and there would exist a non-zero vector $\lambda \in (\textrm{Im} u)^\perp$ . But then $\lambda _1 u_1 + \ldots + \lambda _s u_s$ would be identically zero, which would be in contradiction with the assumption that $u_1, \ldots, u_s$ are independent. In particular, the linear map $u \colon U \to \mathbb{F}_2^s$ takes all values in $\mathbb{F}_2^s$ an equal number of times (namely $|\ker u| = 2^{-s}|U|$ times). Using the same property for $v_1, \ldots, v_s$ and claim (i) of the lemma we conclude that

\begin{align*} 2^{-\textrm{rank} \beta } = \def \mbl{\mathop{\mathbb{E}}\limits }\mbl _{x \in U, y \in V} (\!-\!1)^{\beta (x,y)} = \def \mbl{\mathop{\mathbb{E}}\limits }\mbl _{x \in U, y \in V} (\!-\!1)^{\sum _{i \in [s]} u_i(x) v_i(y)} = \def \mbl{\mathop{\mathbb{E}}\limits }\mbl _{a, b \in \mathbb{F}_2^s} (\!-\!1)^{a \cdot b} = \def \mbl{\mathop{\mathbb{E}}\limits }\mbl _{a \in \mathbb{F}^s_2}{\mathbb{1}}(a = 0) = 2^{-s}, \end{align*}

proving that $s = \textrm{rank} \beta$ .

Proof of (iii). Let $d = \dim U$ . Clearly, such a decomposition exists, as we may simply take a basis $e_1, \ldots, e_d$ of $U$ , giving coordinates $x_1, \ldots, x_d$ of vectors $x \in U$ , and consider

\begin{equation*}\beta (x,y) = \sum _{i \in [d]} x_i \beta (e_i, y).\end{equation*}

On the other hand, if we have a decomposition with smallest possible $s$ then $u_1, \ldots, u_s$ need to be linearly independent. To see that, note that if have linear dependence, then (after a possible reordering of the forms) we have $u_1 = \sum _{j \in [2,s]} \mu _j u_j$ , so

\begin{equation*}\beta (x,y) = \sum _{j \in [2,s]} u_j(x) (v_j(y) + \mu _j v_1(y)),\end{equation*}

which has $s-1$ terms in the sum, which is a contradiction. Hence $u_1, \ldots, u_s$ are linearly independent, and analogously, so are $v_1, \ldots, v_s$ . The claim follows from the part (ii).

Let us also record two very simple but useful facts about bilinear forms of low rank.

Lemma 8. Let $\beta \colon U \times V \to \mathbb{F}_2$ be a bilinear form of rank $r$ . Then there exists a subspace $U' \leq U$ of codimension at most $r$ in $U$ such that $\beta |_{U' \times V} = 0$ .

Proof. By the definition of rank, $r$ is the rank of the linear map $B \colon U \to V$ that satisfies $\beta (x,y) = B(x) \cdot y$ for all $x \in U, y \in V$ for a given scalar product on $V$ . By the rank-nullity theorem, the kernel $U' = \textrm{ker} B \leq U$ has codimension $r$ . Hence, when $x \in U', y \in V$ we have $\beta (x,y) = B(x) \cdot y = 0$ , as desired.

Lemma 9. Let $\beta \colon U \times V \to \mathbb{F}_2$ be a bilinear form of rank $r$ . Let $U' \leq U$ be a subspace of codimension $d$ inside $U$ . Then $\beta |_{U' \times V}$ has rank at least $r -d$ .

Proof. Let $s$ be the rank of $\beta |_{U' \times V}$ . By part (iii) of Lemma 7 we have linear forms $u_1, \ldots, u_s \colon U' \to \mathbb{F}_2$ and $v_1, \ldots, v_s \colon V \to \mathbb{F}_2$ such that $\beta (x,y) = \sum _{i \in [s]} u_i(x) v_i(y)$ holds for all $x \in U'$ and $y \in V$ . We may extend each $u_i$ to a linear form $\tilde{u}_i \colon U \to \mathbb{F}_2$ . Let $\beta '(x,y) = \beta (x,y) + \sum _{i \in [s]} \tilde{u}_i(x) v_i(y)$ . The map $\beta '$ is a bilinear form on $U \times V$ which vanishes on $U' \times V$ . We claim that $\beta '$ has rank at most $d$ . Since we also have that $\beta (x,y) = \beta '(x,y) + \sum _{i \in [s]} \tilde{u}_i(x) v_i(y)$ , it follows that $\beta$ can be written as a sum of at most $s+d$ terms of the form $u'(x) v'(y)$ for suitable linear forms $u' \colon U \to \mathbb{F}_2$ and $v' \colon V \to \mathbb{F}_2$ and so by part (iii) of Lemma 7 we have $r \leq s + d$ as desired. We now return to showing that $\textrm{rank} \beta ' \leq d$ .

Since $U'$ has codimension $d$ inside $U$ , we may find linearly independent elements $e_1, \ldots, e_d \in U$ such that $U = \langle e_1, \ldots, e_d \rangle \oplus U'$ . We thus obtain linear forms $\varphi _1, \ldots, \varphi _d \colon U \to \mathbb{F}_2$ and a linear map $\pi \colon U \to U'$ such that for each $x \in U$ we have $x = \sum _{i \in [d]} \varphi _i(x) e_i + \pi (x)$ . Using this decomposition, for arbitrary $x \in U, y \in V$ we see that

\begin{equation*} \beta '(x,y) = \beta '\Big (\sum _{i \in [d]} \varphi _i(x) e_i + \pi (x), y\Big ) = \sum _{i \in [d]} \varphi _i(x) \beta '(e_i, y) + \beta '(\pi (x), y) = \sum _{i \in [d]} \varphi _i(x) \beta '(e_i, y).\end{equation*}

Part (iii) of Lemma 7 implies that $\textrm{rank}\beta ' \leq d$ .

Bilinear regularity method

In the proof that our example has the desired properties we need the algebraic regularity method for bilinear maps. This method was used in [Reference Gowers and Milićević7]. The following lemma, in the spirit of Corollary 5.2 of [Reference Gowers and Milićević7], essentially shows that for a given bilinear map we may pass to a subspace on which it behaves quasirandomly (which in the bilinear setting simply means that the restriction of the bilinear map has high rank).

Lemma 10. (Bilinear regularity lemma). Let $m \geq 1$ be a positive integer. Let $U$ be a finite-dimensional vector space over $\mathbb{F}_2$ and let $\rho, \beta _1, \ldots, \beta _r \colon U \times U \to \mathbb{F}_2$ be bilinear forms such that $\textrm{rank} \rho \geq (4r + 1)m$ . Then there exist a subspace $U' \leq U$ of codimension at most $2rm$ and bilinear forms $\alpha _1, \ldots, \alpha _s \colon U' \times U' \to \mathbb{F}_2$ , where $s \leq r$ , such that every non-zero linear combination of $\alpha _1, \ldots, \alpha _s$ and $\rho |_{U' \times U'}$ has rank at least $m$ , while every bilinear map among $\beta _1, \ldots, \beta _r$ equals a linear combination of $\alpha _1, \ldots, \alpha _s$ and $\rho$ on $U' \times U'$ .

Proof. Let us first set $s = r$ , $U' = U$ and $\alpha _i = \beta _i$ . We shall modify the number $s$ , subspace $U'$ and maps $\alpha _1, \ldots, \alpha _s$ throughout the proof. At each step of the proof the number of forms $s$ will decrease by 1, while the codimension of $U'$ will increase by at most $2m$ . Note that every bilinear map among $\beta _1, \ldots, \beta _r$ equals some $\alpha _i$ on $U' \times U'$ so we just need to make sure that ranks of all non-zero linear combinations of $\alpha _i$ and $\rho$ are sufficiently large. Suppose on the contrary that there is a linear combination of maps $\alpha _1, \ldots, \alpha _s$ and $\rho |_{U' \times U'}$ such that

\begin{equation*}\textrm {rank} \Big (\lambda _1 \alpha _1 + \ldots + \lambda _s \alpha _s + \mu \rho |_{U' \times U'}\Big ) \lt m.\end{equation*}

Since by Lemma 9 we have $\textrm{rank} \rho |_{U' \times U'} \geq \textrm{rank} \rho - 2(\dim U - \dim U') \geq m$ , there exists a non-zero $\lambda _j$ . Reordering $\alpha _i$ if necessary, we may assume that $\lambda _s = 1$ . Thus, by Lemma 7 (iii) there exist linear forms $v_1, \ldots, v_m, v'_1, \ldots, v'_m \colon U' \to \mathbb{F}_2$ such that

\begin{equation*}\alpha _s(x,y) = \lambda _1 \alpha _1(x,y) + \ldots + \lambda _{s-1} \alpha _{s-1}(x,y) + \mu \rho (x,y) + v_1(x)v'_1(y)+\ldots + v_m(x)v'_m(y).\end{equation*}

We may replace $U'$ by $U' \cap \{x \in U' \colon (\forall i \in [m]) v_i(x) = v'_i(x) = 0\}$ and remove the form $\alpha _s$ from the sequence. The property that every bilinear map among $\beta _1, \ldots, \beta _r$ equals a suitable linear combination on $U' \times U'$ is preserved and the procedure must terminate after at most $r$ steps.

The next lemma is an algebraic counting lemma, similar to Lemma 5.3 of [Reference Gowers and Milićević7].

Lemma 11. (Bilinear counting lemma). Suppose that $\alpha \colon \mathbb{F}_2^n \times \mathbb{F}_2^n \to \mathbb{F}_2^r$ is a bilinear map with the property that the form $\lambda \cdot \alpha$ has rank at least $m$ for all non-zero vectors $\lambda \in \mathbb{F}_2^r$ . Let $C$ be a coset of a subspace of $\mathbb{F}_2^n$ of codimension $d$ . Let $\varepsilon \gt 0$ . If $m \gt 4r + 8d + 4 \log _2\varepsilon ^{-1}$ then $\alpha |_{C \times C}$ takes every value in $\mathbb{F}_2^r$ at least $(1 - \varepsilon )2^{-r}|C|^2$ times. In particular, if $m \gt 4r + 8d + 4$ then $\alpha |_{C \times C}$ is surjective.

The reason for calling this lemma an algebraic counting lemma is that it is closely related to the more traditional counting results. For example, we can easily deduce that for any $\nu _1, \nu _2, \nu _3 \in \mathbb{F}_2^r$ the number of triples $x,y,z \in \mathbb{F}_2^n$ such that $\alpha (x,y) = \nu _1$ , $\alpha (y,z) = \nu _2$ and $\alpha (z, x) = \nu _3$ is approximately $2^{-3r} \cdot 2^{3n}$ as long as $\alpha$ is sufficiently quasirandom. In the graph-theoretic language, this corresponds to counting triangles. Similarly, Lemma 10 is related to Szemerédi’s regularity lemma.

Proof. Suppose that the restriction $\alpha |_{C \times C}$ takes the value $u \in \mathbb{F}_2^r$ at most $(1 - \varepsilon )2^{-r}|C|^2$ times. Then we have

\begin{align*} (1 - \varepsilon )2^{-r-2d} & \geq \def \mbl{\mathop{\mathbb{E}}\limits }\mbl _{x,y \in \mathbb{F}_2^n}{\mathbb{1}}_C(x){\mathbb{1}}_C(y){\mathbb{1}}(\alpha (x,y) = u) = \def \mbl{\mathop{\mathbb{E}}\limits }\mbl _{x,y \in \mathbb{F}_2^n}{\mathbb{1}}_C(x){\mathbb{1}}_C(y) \def \mbl{\mathop{\mathbb{E}}\limits }\mbl _{\lambda \in \mathbb{F}_2^r} (\!-\!1)^{\lambda \cdot (\alpha (x,y) - u)}\\[5pt] &= 2^{-r} \def \mbl{\mathop{\mathbb{E}}\limits }\mbl _{x,y \in \mathbb{F}_2^n}{\mathbb{1}}_C(x){\mathbb{1}}_C(y) + 2^{-r} \sum _{\lambda \in \mathbb{F}_2^r \setminus \{0\}} \def \mbl{\mathop{\mathbb{E}}\limits }\mbl _{x,y \in \mathbb{F}_2^n}{\mathbb{1}}_C(x){\mathbb{1}}_C(y) (\!-\!1)^{\lambda \cdot (\alpha (x,y) - u)}\\[5pt] &= 2^{-r - 2d} + 2^{-r} \sum _{\lambda \in \mathbb{F}_2^r \setminus \{0\}} (\!-\!1)^{- \lambda \cdot u} \def \mbl{\mathop{\mathbb{E}}\limits }\mbl _{x,y \in \mathbb{F}_2^n}{\mathbb{1}}_C(x){\mathbb{1}}_C(y) (\!-\!1)^{\lambda \cdot \alpha (x,y)}. \end{align*}

Using the triangle inequality, we see that

\begin{align*} 2^{-r} \sum _{\lambda \in \mathbb{F}_2^r \setminus \{0\}} \bigg | \def \mbl{\mathop{\mathbb{E}}\limits }\mbl _{x,y \in \mathbb{F}_2^n}{\mathbb{1}}_C(x){\mathbb{1}}_C(y) (\!-\!1)^{\lambda \cdot \alpha (x,y)}\bigg | \geq \varepsilon 2^{-r-2d}, \end{align*}

so by averaging we obtain a non-zero $\lambda$ such that

\begin{align*} \bigg | \def \mbl{\mathop{\mathbb{E}}\limits }\mbl _{x,y \in \mathbb{F}_2^n}{\mathbb{1}}_C(x){\mathbb{1}}_C(y) (\!-\!1)^{\lambda \cdot \alpha (x,y)}\bigg | \geq \varepsilon 2^{-r-2d}. \end{align*}

Applying Cauchy-Schwarz inequalityFootnote 3 we obtain

\begin{align*} \varepsilon ^2 2^{-2r-4d} &\leq \bigg | \def \mbl{\mathop{\mathbb{E}}\limits }\mbl _{x \in \mathbb{F}_2^n}{\mathbb{1}}_C(x) \Big ( \def \mbl{\mathop{\mathbb{E}}\limits }\mbl _{y \in \mathbb{F}_2^n}{\mathbb{1}}_C(y) (\!-\!1)^{\lambda \cdot \alpha (x,y)}\Big )\bigg |^2 \leq \def \mbl{\mathop{\mathbb{E}}\limits }\mbl _{x \in \mathbb{F}_2^n}\Big | \def \mbl{\mathop{\mathbb{E}}\limits }\mbl _{y \in \mathbb{F}_2^n}{\mathbb{1}}_C(y) (\!-\!1)^{\lambda \cdot \alpha (x,y)}\Big |^2\\[5pt] &= \def \mbl{\mathop{\mathbb{E}}\limits }\mbl _{x \in \mathbb{F}_2^n} \def \mbl{\mathop{\mathbb{E}}\limits }\mbl _{y, y' \in \mathbb{F}_2^n}{\mathbb{1}}_C(y){\mathbb{1}}_C(y') (\!-\!1)^{\lambda \cdot \alpha (x,y + y')}. \end{align*}

Another application of Cauchy-Schwarz inequality gives

\begin{align*} \varepsilon ^4 2^{-4r-8d} & \leq \Big | \def \mbl{\mathop{\mathbb{E}}\limits }\mbl _{y, y' \in \mathbb{F}_2^n}{\mathbb{1}}_C(y){\mathbb{1}}_C(y') \Big ( \def \mbl{\mathop{\mathbb{E}}\limits }\mbl _{x \in \mathbb{F}_2^n} (\!-\!1)^{\lambda \cdot \alpha (x,y + y')}\Big )\Big |^2 \leq \def \mbl{\mathop{\mathbb{E}}\limits }\mbl _{y, y' \in \mathbb{F}_2^n} \Big | \def \mbl{\mathop{\mathbb{E}}\limits }\mbl _{x \in \mathbb{F}_2^n} (\!-\!1)^{\lambda \cdot \alpha (x,y + y')}\Big |^2\\[5pt] &= \def \mbl{\mathop{\mathbb{E}}\limits }\mbl _{x,x' \in \mathbb{F}_2^n} \def \mbl{\mathop{\mathbb{E}}\limits }\mbl _{y, y' \in \mathbb{F}_2^n} (\!-\!1)^{\lambda \cdot \alpha (x + x',y + y')} = \def \mbl{\mathop{\mathbb{E}}\limits }\mbl _{x,y \in \mathbb{F}_2^n} (\!-\!1)^{\lambda \cdot \alpha (x,y)} \end{align*}

which equals $2^{-\textrm{rank}(\lambda \cdot \alpha )}$ by Lemma 7 (i). Hence $\varepsilon ^4 2^{-4r-8d} \leq 2^{-m}$ so $m \leq 4r + 8d + 4 \log _2\varepsilon ^{-1}$ , which is a contradiction.

3. Example

Recall that $n$ is a fixed positive integer, which we think of as large, and that $G = \mathbb{F}_2^n$ . Let $e_1, \ldots, e_n$ be the standard basis of $G$ . Our example will be the multilinear form $\phi \colon G^4 \to \mathbb{F}_2$ defined as

\begin{equation*}\phi (x, y, z, w) = \sum _{1 \leq i \lt j \leq n} \Big (x_i y_j z_j w_i + x_j y_i z_j w_i + x_j y_j z_i w_i\Big ),\end{equation*}

where the coordinates of vectors are taken with the respect to the fixed basis $e_1, \ldots, e_n$ . We first show that $\phi$ is approximately symmetric.

Lemma 12. The multilinear form $\phi$ satisfies $\phi = \phi \circ (1\,\,2)$ , $\phi = \phi \circ (1\,\,3)$ and

\begin{equation*}\phi (x, y, z, w) = \phi \circ (1\,\,4)(x, y, z, w) + \rho (x,y) \rho (z,w) + \rho (x,z) \rho (y,w)\end{equation*}

where

\begin{equation*}\rho (x,y) = \sum _{i \in [n]} x_i y_i.\end{equation*}

Proof. For each $i$ and $j$ the expression $x_i y_j z_j w_i + x_j y_i z_j w_i + x_j y_j z_i w_i$ is symmetric in $x,y$ and $z$ and hence the equalities $\phi = \phi \circ (1\,\,2)$ and $\phi = \phi \circ (1\,\,3)$ follow immediately. For the remaining transposition $(1\,\,4)$ we perform some algebraic manipulation

\begin{align*} \phi (x, y, z, w) &+ \phi (w, y, z, x) \\ & = \sum _{1 \leq i \lt j \leq n} \Big ((x_i y_j z_j w_i + x_j y_i z_j w_i + x_j y_j z_i w_i) + (w_i y_j z_j x_i + w_j y_i z_j x_i + w_j y_j z_i x_i)\Big ) \\[5pt] &= \sum _{1 \leq i \lt j \leq n} \Big (x_j y_i z_j w_i + x_j y_j z_i w_i + x_i y_i z_j w_j + x_i y_j z_i w_j\Big )\\[5pt] &= \sum _{1 \leq i \lt j \leq n} \Big (x_j y_i z_j w_i + x_i y_j z_i w_j\Big ) + \sum _{1 \leq i \lt j \leq n} \Big (x_j y_j z_i w_i + x_i y_i z_j w_j\Big )\\[5pt] &= \Big (\sum _{i,j \in [n] \colon i \not = j} x_j y_i z_j w_i \Big ) + \Big (\sum _{i,j \in [n] \colon i \not = j} x_j y_j z_i w_i \Big )\\[5pt] &= \Big (\sum _{i,j \in [n] \colon i \not = j} x_j y_i z_j w_i \Big ) + \Big (\sum _{i,j \in [n] \colon i \not = j} x_j y_j z_i w_i \Big ) + 2 \cdot \Big (\sum _{i \in [n]} x_i y_i z_i w_i\Big )\\[5pt] &= \Big (\sum _{i,j \in [n]} x_j y_i z_j w_i \Big ) + \Big (\sum _{i,j \in [n]} x_j y_j z_i w_i \Big )\\[5pt] &= \Big (\sum _{j \in [n]} x_j z_j \Big ) \Big (\sum _{i \in [n]} y_i w_i \Big ) + \Big (\sum _{j \in [n]} x_j y_j \Big ) \Big (\sum _{i \in [n]} z_i w_i \Big )\\[5pt] &= \rho (x,z) \rho (y,w) + \rho (x,y) \rho (z,w), \end{align*}

as desired.

Since the transpositions $(1\,\,2), (1\,\,3)$ and $(1\,\,4)$ generate the whole symmetric group $\textrm{Sym}_4$ we immediately deduce that $\phi$ is 3-approximately symmetric.

Corollary 13. For any permutation $\pi \in \textrm{Sym}_4$ we have ${prank} \Big (\phi + \phi \circ \pi \Big ) \leq 3$ .

Proof. Let $V$ be the vector space consisting of the multilinear forms on $G^4$ of the shape $\lambda _1 \rho (x,y) \rho (z,w) + \lambda _2\rho (x,z) \rho (y,w) + \lambda _3 \rho (x,w) \rho (y,z)$ for some scalars $\lambda _1, \lambda _2, \lambda _3 \in \mathbb{F}_2$ . Since $\rho$ is a symmetric bilinear form it follows that $V$ is invariant under the action of $\textrm{Sym}_4$ . The lemma above shows in particular that $\phi + \phi \circ \pi \in V$ whenever $\pi$ is one of the transpositions $(1\,\,2), (1\,\,3)$ and $(1\,\,4)$ . Let $\pi \in \textrm{Sym}_4$ now be an arbitrary permutation. The transpositions $(1\,\,2), (1\,\,3)$ and $(1\,\,4)$ generate $\textrm{Sym}_4$ so we can write $\pi = \tau _1 \circ \tau _2 \circ \ldots \circ \tau _r$ for some $\tau _1, \ldots, \tau _r \in \{(1\,\,2), (1\,\,3), (1\,\,4)\}$ . Then we have

\begin{align*} \phi \circ \pi + \phi = &\sum _{i \in [r]}\Big (\phi \circ \tau _i \circ \tau _{i+1} \circ \ldots \circ \tau _r + \phi \circ \tau _{i+1} \circ \tau _{i+2} \circ \ldots \circ \tau _r\Big )\\[5pt] = &\sum _{i \in [r]} \Big (\phi \circ \tau _i + \phi \Big ) \circ \tau _{i+1} \circ \ldots \circ \tau _r \end{align*}

which is a sum of $r$ forms, each of which is a member of $V$ . Hence $\phi + \phi \circ \pi \in V$ for all $\pi \in \textrm{Sym}_4$ . Since the partition rank of forms in $V$ is at most 3, the proof is complete.

In the rest of this section, we show that the map $\phi$ is necessarily far from any symmetric multilinear form.

Theorem 14. Let $r \geq 1$ be a positive integer. Assume that $n \geq (1000r)^3$ . For any symmetric multilinear form $\sigma \colon G^4 \to \mathbb{F}_2$ we have ${prank}(\phi + \sigma ) \gt r$ .

Proof. Let $\sigma \colon G^4 \to \mathbb{F}_2$ be a symmetric multilinear form. Suppose on the contrary that $\textrm{prank}(\phi + \sigma ) \leq r$ . Then we may find linear forms $u^1_1, \ldots,$ $u^1_r,$ $\ldots,$ $u^4_1, \ldots, u^4_r$ , bilinear forms $\gamma ^1_1, \ldots,$ $\gamma ^1_r, \ldots,$ $\gamma ^3_1, \ldots, \gamma ^3_r$ and $\tilde{\gamma }^1_1, \ldots,$ $\tilde{\gamma }^1_r, \ldots,$ $\tilde{\gamma }^3_1, \ldots, \tilde{\gamma }^3_r$ , and trilinear forms $\theta ^1_1, \ldots,$ $\theta ^1_r, \ldots,$ $\theta ^4_1, \ldots, \theta ^4_r$ (we set some of the forms to be 0 to have a single parameter $r$ instead of a separate count for each sequence of forms) on the space $G$ such that

\begin{align*} \phi (x,y,z,w) & = \sigma (x,y,z,w) + \sum _{i \in [r]} u^1_i(x) \theta ^1_i(y,z,w) + \sum _{i \in [r]} u^2_i(y) \theta ^2_i(x,z,w)\\[5pt] & \quad + \sum _{i \in [r]} u^3_i(z) \theta ^3_i(x,y,w) + \sum _{i \in [r]} u^4_i(w) \theta ^4_i(x, y,z)\\[5pt] & \quad + \sum _{i \in [r]}\gamma ^1_i(x,y) \tilde{\gamma }^1_i(z,w) + \sum _{i \in [r]}\gamma ^2_i(x,z) \tilde{\gamma }^2_i(y,w) + \sum _{i \in [r]}\gamma ^3_i(x,w) \tilde{\gamma }^3_i(y,z) \end{align*}

holds for all $x,y,z,w \in G$ . Let us pass to the subspace $U = \{x \in G \colon (\forall d \in [4])(\forall i \in [r]) u^d_i(x) = 0\}$ which has codimension at most $4r$ . When $x,y,z,w \in U$ then

\begin{equation*}\phi (x,y,z,w) = \sigma (x,y,z,w) + \sum _{i \in [r]}\gamma ^1_i(x,y) \tilde {\gamma }^1_i(z,w) + \sum _{i \in [r]}\gamma ^2_i(x,z) \tilde {\gamma }^2_i(y,w) + \sum _{i \in [r]}\gamma ^3_i(x,w) \tilde {\gamma }^3_i(y,z).\end{equation*}

In the rest of proof we deal with bilinear forms primarily so we simply use the word rank instead of partition rank as the usual notion of rank is equivalent to the partition rank, as remarked earlier. We now gather all $6r$ bilinear forms $\gamma ^1_1, \ldots, \tilde{\gamma }^3_r$ above into a single sequence and apply the bilinear regularity lemma. Let $m \geq 1$ be an integer to be chosen later. Provided that

(3) \begin{equation} n \geq 24rm + 8r + m \end{equation}

is satisfied, we may assume that $\textrm{rank} \rho |_{U \times U} \geq 24rm + m$ (recall that $\textrm{rank} \rho = n$ ). Lemma 10 allows us to find a subspace $U' \leq U$ of codimension at most $12rm$ inside $U$ , a positive integer $s \leq 6r$ , bilinear forms $\alpha _1, \ldots, \alpha _s \colon U' \times U' \to \mathbb{F}_2$ such that every map among $\gamma ^1_1, \ldots, \tilde{\gamma }^3_r$ equals a linear combination of $\alpha _1, \ldots, \alpha _s$ and $\rho |_{U' \times U'}$ on $U' \times U'$ and all non-zero linear combinations of $\alpha _1, \ldots, \alpha _s$ and $\rho |_{U' \times U'}$ have rank at least $m$ .

Expressing maps $\gamma ^1_1, \ldots, \tilde{\gamma }^3_r$ in terms of these bilinear forms, we conclude that whenever $x,y,z,w \in U'$

(4) \begin{align} \phi (x,y,z,w) & = \sigma (x,y,z,w) + \sum _{i,j \in [s]} \lambda _{ij} \alpha _i(x,y) \alpha _j(z,w) + \sum _{i,j \in [s]} \lambda '_{ij} \alpha _i(x,z) \alpha _j(y,w) \nonumber \\[5pt] & \quad + \sum _{i,j \in [s]} \lambda ''_{ij} \alpha _i(x,w) \alpha _j(y,z) + \rho (x,y) \beta _1(z,w) + \rho (x,z) \beta _2(y,w) + \rho (x,w) \beta _3(y,z) \nonumber \\[5pt] & \quad + \rho (y,z) \beta _4(x,w) + \rho (y,w) \beta _5(x,z) + \rho (z,w) \beta _6(x,y) \end{align}

where $\lambda _{ij}, \lambda '_{ij}, \lambda ''_{ij} \in \mathbb{F}_2$ are suitable coefficients and $\beta _1, \ldots, \beta _6 \colon U' \times U' \to \mathbb{F}_2$ are suitable bilinear forms.

We now use the approximate symmetry properties of $\phi$ in order to deduce that the coefficients $\lambda _{ij}, \lambda '_{ij}, \lambda ''_{ij}$ are symmetric in $i$ and $j$ and that forms $\alpha _i$ are essentially symmetric. This will eventually allow us to simplify the expression in (4). The identity $\phi + \phi \circ (1\,\,2) = 0$ will be used to prove the following claim.

Claim 15. Assume $m \geq 40(s + 1)$ .

  1. i. There exists a subspace $V^1 \leq U'$ such that $\dim V^1 \geq \dim U' - 2s^2 - 4s$ and for each $j \in [s]$ the bilinear form $\sum _{i \in [s]}\lambda _{ij} \alpha _i$ is symmetric on $V^1 \times V^1$ .

  2. ii. For all $i,j \in [s]$ , $\lambda '_{ij} = \lambda ''_{ji}$ .

Proof. Using the fact that $\phi + \phi \circ (1\,\,2) = 0$ and (4) we get

(5) \begin{align} 0 = & \sum _{j \in [s]} \Big (\sum _{i \in [s]} \lambda _{ij} (\alpha _i(x,y) + \alpha _i(y,x))\Big ) \alpha _j(z,w) + \sum _{i,j \in [s]} (\lambda '_{ij}+ \lambda ''_{ji}) \alpha _i(x,z) \alpha _j(y,w) \nonumber \\[5pt] &+ \sum _{i \in [s]} \alpha _i(x,w)\Big (\sum _{j \in [s]}(\lambda ''_{ij} + \lambda '_{ji}) \alpha _j(y,z)\Big )\nonumber \\[5pt] &+\rho (x,z) (\beta _2(y,w) + \beta _4(y,w)) + \rho (x,w) (\beta _3(y,z) + \beta _5(y,z)) + \rho (y,z) (\beta _4(x,w) + \beta _2(x,w))\nonumber \\[5pt] & + \rho (y,w) (\beta _5(x,z) + \beta _3(x,z)) + \rho (z,w) (\beta _6(x,y) + \beta _6(y,x)) \end{align}

for all $x,y,z,w \in U'$ .

Proof of (i). Let $j \in [s]$ be given. Since any non-zero linear combination of $\rho |_{U' \times U'}, \alpha _1, \ldots, \alpha _s$ has rank at least $m \gt 4(s + 2)$ by Lemma 11 we can find $z,w \in U'$ such that $\rho (z,w) = 0$ , $\alpha _i(z,w) = 0$ for all $i \not = j$ and $\alpha _j(z,w) = 1$ . Using this choice of $z,w$ in (5) we obtain

\begin{align*} \sum _{i \in [s]}\lambda _{ij} (\alpha _i(x,y) + \alpha _i(y,x)) &= \sum _{i \in [s]}\alpha _i(x,z) \Big (\sum _{\ell \in [s]} (\lambda '_{i \ell }+ \lambda ''_{\ell i}) \alpha _\ell (y,w)\Big ) \\[5pt] & \quad + \sum _{i \in [s]} \alpha _i(x,w) \Big (\sum _{\ell \in [s]} (\lambda ''_{i\ell } + \lambda '_{\ell i})\alpha _\ell (y,z)\Big ) +\rho (x,z) (\beta _2(y,w)\\[5pt] & \quad + \beta _4(y,w)) + \rho (x,w) (\beta _3(y,z) + \beta _5(y,z)) + \rho (y,z) (\beta _4(x,w) \\[5pt] & \quad+ \beta _2(x,w)) + \rho (y,w) (\beta _5(x,z) + \beta _3(x,z)) \end{align*}

for all $x,y \in U'$ . By Lemma 7 (iii) we conclude that $\sum _{i \in [s]}\lambda _{ij} (\alpha _i(x,y) + \alpha _i(y,x))$ has rank at most $2s + 4$ , so by Lemma 8 we may find a subspace $U'_j \leq U'$ with $\dim U'_j \geq \dim U' - 2s-4$ such that $\sum _{i \in [s]}\lambda _{ij} (\alpha _i(x,y) + \alpha _i(y,x)) = 0$ when $x,y \in U'_j$ . We may take $V^1 = \cap _{j \in [s]} U'_j$ .

Proof of (ii). Let $i, j \in [s]$ be given. This time we find elements $x,y,z,w \in U'$ such that $\alpha _1, \ldots, \alpha _s$ and $\rho$ are equal to 0 at all 6 points in the set $\{(x,y), (x,z), (x,w), (y,z), (y,w), (z,w)\}$ , with the two exceptions being $\alpha _i(x,z) = \alpha _j(y,w) = 1$ . Once we have such elements $x,y,z,w$ we use them in (5) which reduces to just $\lambda '_{ij}+ \lambda ''_{ji} = 0$ , proving that $\lambda '_{ij} = \lambda ''_{ji}$ , which is what we are after. To obtain such a quadruple of elements $x,y,z,w$ , provided $m \gt 4(s + 2)$ , we first apply Lemma 11 to obtain $(x,z) \in U' \times U'$ such that $\rho (x,z) = 0$ , $\alpha _\ell (x,z) = 0$ when $\ell \not = i$ and $\alpha _i(x,z) = 1$ . Then we define a subspace

\begin{equation*}\tilde {U} = \{u \in U' \colon \rho (x,u) = \rho (z,u) = 0 \land (\forall \ell \in [s]) \alpha _\ell (x,u) = \alpha _\ell (u, x) = \alpha _\ell (z,u) = \alpha _\ell (u, z) = 0\}.\end{equation*}

Provided $m \gt 4(s + 2) + 8(4s + 2)$ , we may use Lemma 11 one more time to find $(y,w) \in \tilde{U} \times \tilde{U}$ such that $\rho (y,w) = 0$ , $\alpha _\ell (y,w) = 0$ when $\ell \not = j$ and $\alpha _j(y,w) = 1$ , completing the proof.

Next, we use the second symmetry condition $\phi + \phi \circ (1\,\,3) = 0$ in a similar manner to prove the following claim. We remark that we make use of Claim 15 in the proof.

Claim 16. Assume $m \geq 100(s^2 + s + 1)$ .

  1. i. There exists a subspace $V^2 \leq V^1$ such that $\dim V^2 \geq \dim V^1 - 2s^2 - 4s$ and $\sum _{i \in [s]} \lambda '_{ij} \alpha _i$ is symmetric for all $j \in [s]$ on $V^2 \times V^2$ .

  2. ii. For all $i,j \in [s]$ , $\lambda _{ij} = \lambda ''_{ji}$ .

Proof. The identity $\phi + \phi \circ (1\,\,3) = 0$ coupled with (4) gives

(6) \begin{align} 0 &= \sum _{i,j \in [s]} (\lambda _{ij} \alpha _i(x,y) \alpha _j(z,w) + \lambda ''_{ji} \alpha _i(y,x)\alpha _j(z,w)) + \sum _{i,j \in [s]} \lambda '_{ij} (\alpha _i(x,z) + \alpha _i(z,x))\alpha _j(y,w) \nonumber \\[5pt] &\quad + \sum _{i,j \in [s]} (\lambda ''_{ij} \alpha _i(x,w) \alpha _j(y,z) + \lambda _{ji} \alpha _i(x,w) \alpha _j(z,y))\nonumber \\[5pt] &\quad +\rho (x,y) (\beta _1(z,w) + \beta _4(z,w)) + \rho (x,w) (\beta _3(y,z) + \beta _6(z,y)) + \rho (y,z) (\beta _4(x,w) + \beta _1(x,w))\nonumber \\[5pt] &\quad + \rho (y,w) (\beta _5(x,z) + \beta _5(z,x)) + \rho (z,w) (\beta _6(x,y) + \beta _3(y,x)) \end{align}

for all $x,y,z,w \in U'$ .

Proof of (i). Let $j \in [s]$ be given. Similarly to the previous claim, we apply Lemma 11 to find $y,w \in V^1$ such that $\rho (y,w) = 0$ , $\alpha _i(y,w) = 0$ for $i \not = j$ and $\alpha _j(y,w) = 1$ . Identity (6) for this choice of $y,w$ and Lemma 7 (iii) show that the rank of the bilinear map $\Big (\sum _{i \in [s]}\lambda '_{ij} (\alpha _i|_{V^1 \times V^1}(x,z) + \alpha _i|_{V^1 \times V^1}(z,x))\Big )$ is at most $2s + 4$ . Lemma 8 provides us with a subspace $V^2_j \leq V^1$ with $\dim V_j^2 \geq V^1 - 2s - 4$ on which $\sum _{i \in [s]}\lambda '_{ij} \alpha _i$ is symmetric.Footnote 4 To finish the proof, take $V^2 = \cap _{j \in [s]} V^2_j$ .

Proof of (ii). Using the part (i) of Claim 15 we see that whenever $x,y,z,w \in V^1$

\begin{align*} & \sum _{i,j \in [s]} (\lambda _{ij} \alpha _i(x,y) \alpha _j(z,w) + \lambda ''_{ji} \alpha _i(y,x)\alpha _j(z,w)) \\ & \quad = \sum _{j \in [s]} \Big (\sum _{i \in [s]} \lambda _{ij} \alpha _i(x,y)\Big ) \alpha _j(z,w) + \sum _{i,j \in [s]} \lambda ''_{ji} \alpha _i(y,x)\alpha _j(z,w)\\[5pt] & \quad = \sum _{j \in [s]} \Big (\sum _{i \in [s]} \lambda _{ij} \alpha _i(y,x)\Big ) \alpha _j(z,w) + \sum _{i,j \in [s]} \lambda ''_{ji} \alpha _i(y,x)\alpha _j(z,w)\\[5pt] & \quad = \sum _{i,j \in [s]} (\lambda _{ij} + \lambda ''_{ji}) \alpha _i(y,x)\alpha _j(z,w). \end{align*}

From (6) we obtain

(7) \begin{align} 0 &= \sum _{i,j \in [s]} (\lambda _{ij} + \lambda ''_{ji}) \alpha _i(y,x)\alpha _j(z,w) + \sum _{i,j \in [s]} \lambda '_{ij} (\alpha _i(x,z) + \alpha _i(z,x))\alpha _j(y,w) \nonumber \\[5pt] &\quad + \sum _{i,j \in [s]} (\lambda ''_{ij} \alpha _i(x,w) \alpha _j(y,z) + \lambda _{ji} \alpha _i(x,w) \alpha _j(z,y))\nonumber \\[5pt] &\quad +\rho (x,y) (\beta _1(z,w) + \beta _4(z,w)) + \rho (x,w) (\beta _3(y,z) + \beta _6(z,y)) + \rho (y,z) (\beta _4(x,w) + \beta _1(x,w))\nonumber \\[5pt] & \quad + \rho (y,w) (\beta _5(x,z) + \beta _5(z,x)) + \rho (z,w) (\beta _6(x,y) + \beta _3(y,x)) \end{align}

for all $x,y,z,w \in V^1$ . We now proceed as in the proof of Claim 15 (ii). Let $i, j \in [s]$ be given. Since $m \geq 100(s^2 + s + 1)$ , we may find elements $x,y,z,w \in V^1$ such that $\alpha _1, \ldots, \alpha _s$ and $\rho$ are equal to 0 at all 6 points in the set $\{(y,x), (x,z), (x,w), (y,z), (y,w), (z,w)\}$ , with the two exceptions being $\alpha _i(y,x) = \alpha _j(z,w) = 1$ . (Note that this time we use the point $(y,x)$ instead of $(x,y)$ .) Evaluating (7) at $(x,y,z,w)$ gives $\lambda _{ij} = \lambda ''_{ji}$ .

It remains to use the third symmetry condition $\phi (x,y,z,w) + \phi (w,y,z,x)= \rho (x,y) \rho (z,w) + \rho (x,z) \rho (y,w)$ .

Claim 17. Assume $m \geq 200(s^2 + s + 1)$ . Then $\lambda _{ij} = \lambda '_{ji}$ for all $i,j \in [s]$ .

Proof. The identity $\phi (x,y,z,w) + \phi (w,y,z,x) = \rho (x,y) \rho (z,w) + \rho (x,z) \rho (y,w)$ implies that

(8) \begin{align} 0&=\sum _{i,j \in [s]} (\lambda _{ij} \alpha _i(x,y) \alpha _j(z,w) + \lambda '_{ji} \alpha _i(y,x)\alpha _j(w,z)) + \sum _{i,j \in [s]} (\lambda '_{ij} \alpha _i(x,z) \alpha _j(y,w) + \lambda _{ji} \alpha _i(z,x)\alpha _j(w,y))\nonumber \\[5pt] &\quad + \sum _{i,j \in [s]} \lambda ''_{ij} (\alpha _i(x,w) + \alpha _i(w,x)) \alpha _j(y,z)\nonumber \\[5pt] &\quad +\rho (x,y) (\rho (z,w) + \beta _1(z,w)+ \beta _5(w,z)) + \rho (x,z) (\rho (y,w) + \beta _2(y,w) + \beta _6(w,y))\nonumber \\[5pt] & \quad + \rho (y,z) (\beta _4(x,w) + \beta _4(w,x)) + \rho (y,w) (\beta _5(x,z) + \beta _1(z,x)) + \rho (z,w)(\beta _6(x,y) + \beta _2(y,x)) \end{align}

for all $x,y,z,w \in U'$ . Using Claims 15 (i) and 16 (i) we see that whenever $x,y,z,w \in V^2$

\begin{align*} \sum _{i,j \in [s]} (\lambda _{ij} \alpha _i(x,y) \alpha _j(z,w) +& \lambda '_{ji} \alpha _i(y,x)\alpha _j(w,z))\\[5pt] = & \sum _{j \in [s]} \Big (\sum _{i \in [s]} \lambda _{ij} \alpha _i(x,y)\Big ) \alpha _j(z,w) + \sum _{i \in [s]} \alpha _i(y,x)\Big (\sum _{j \in [s]}\lambda '_{ji} \alpha _j(w,z)\Big )\\[5pt] = & \sum _{j \in [s]} \Big (\sum _{i \in [s]} \lambda _{ij} \alpha _i(y,x)\Big ) \alpha _j(z,w) + \sum _{i \in [s]} \alpha _i(y,x)\Big (\sum _{j \in [s]}\lambda '_{ji} \alpha _j(z,w)\Big )\\[5pt] = &\sum _{i,j \in [s]} (\lambda _{ij} + \lambda '_{ji}) \alpha _i(y,x)\alpha _j(z,w). \end{align*}

Using this identity twice, once with the same choice of variables and once with $y,z$ swapped, the expression in (8) becomes

\begin{align*} 0&=\sum _{i,j \in [s]} (\lambda _{ij} + \lambda '_{ji}) \alpha _i(y,x)\alpha _j(z,w) + \sum _{i,j \in [s]} (\lambda '_{ij} + \lambda _{ji}) \alpha _i(z,x)\alpha _j(y,w) \\[5pt] & \quad + \sum _{i,j \in [s]} \lambda ''_{ij} (\alpha _i(x,w) + \alpha _i(w,x)) \alpha _j(y,z)\nonumber \\[5pt] &\quad +\rho (x,y) (\rho (z,w) + \beta _1(z,w)+ \beta _5(w,z)) + \rho (x,z) (\rho (y,w) + \beta _2(y,w) + \beta _6(w,y))\nonumber \\[5pt] &\quad + \rho (y,z) (\beta _4(x,w) + \beta _4(w,x)) + \rho (y,w) (\beta _5(x,z) + \beta _1(z,x)) + \rho (z,w)(\beta _6(x,y) + \beta _2(y,x)) \end{align*}

for all $x,y,z,w \in V^2$ . Let $i,j \in [s]$ be fixed now. We complete the argument as in the proofs of the previous two claims. Since $m$ is sufficiently large, using Lemma 11 we may find elements $x,y,z,w \in V^2$ such that $\alpha _1, \ldots, \alpha _s$ and $\rho$ are equal to 0 at all 6 points in the set $\{(y,x), (z,x), (w,x), (y,z), (y,w), (z,w)\}$ , with the two exceptions being $\alpha _i(y,x) = \alpha _j(z,w) = 1$ . It follows that $\lambda _{ij} = \lambda '_{ji}$ , as required.

It follows from Claims 15 (ii), 16 (ii) and 17 that

\begin{equation*}\lambda _{ij} = \lambda '_{ji} = \lambda ''_{ij} = \lambda _{ji}\end{equation*}

so $\lambda _{ij} = \lambda '_{ij} = \lambda ''_{ij}$ and $\lambda$ is symmetric. Thus, returning to equality (4) we see that whenever $x,y,z,w \in U'$ then

\begin{align*} \phi (x,y,z,w) = \sigma (x,y,z,w) + \psi (x,y,z,w) &+ \rho (x,y) \beta _1(z,w) + \rho (x,z) \beta _2(y,w) + \rho (x,w) \beta _3(y,z) \\[5pt]& + \rho (y,z) \beta _4(x,w) + \rho (y,w) \beta _5(x,z) + \rho (z,w) \beta _6(x,y) \end{align*}

where $\psi \colon U' \times U' \times U' \times U' \to \mathbb{F}_2$ is the multilinear form defined as

\begin{equation*}\psi (x,y,z,w) = \sum _{i,j \in [s]} \lambda _{ij} \alpha _i(x,y) \alpha _j(z,w) + \sum _{i,j \in [s]} \lambda _{ij} \alpha _i(x,z) \alpha _j(y,w) + \sum _{i,j \in [s]} \lambda _{ij} \alpha _i(x,w) \alpha _j(y,z).\end{equation*}

Claim 18. Multilinear form $\psi |_{V^1 \times V^1 \times V^1 \times V^1}$ is symmetric.

Proof. Before we proceed with the proof, we observe a few useful identities that hold for any $a,b,c,d \in V^1$ . Using Claim 15 (ii) and the fact that $\lambda$ is symmetric we have

(9) \begin{eqnarray}{\sum }_{i,j{\in } [s]}{\lambda }_{ij}{\alpha }_i(a,b){\alpha }_j(c,d) ={\sum }_{j \in [s]} \left ({\sum }_{i{\in } [s]}{\lambda }_{ij}{\alpha }_i(a,b)\right ){\alpha }_j(c,d) &=& \sum _{j \in [s]} \left (\sum _{i \in [s]} \lambda _{ij} \alpha _i(b,a)\right ) \alpha _j(c,d)\nonumber \\[5pt] &=&{\sum }_{i,j{\in } [s]}{\lambda }_{ij}{\alpha }_i(b,a){\alpha }_j(c,d) \end{eqnarray}

and

(10) \begin{eqnarray} \sum _{i,j \in [s]} \lambda _{ij} \alpha _i(a,b)\alpha _j(c,d) = \sum _{j,i \in [s]} \lambda _{ji} \alpha _j(a,b)\alpha _i(c,d) = \sum _{i,j \in [s]} \lambda _{ij} \alpha _i(c,d)\alpha _j(a,b). \end{eqnarray}

Additionally, from these two identities we deduce

(11) \begin{eqnarray} \sum _{i,j \in [s]} \lambda _{ij} \alpha _i(a,b)\alpha _j(c,d) &=& \sum _{i,j \in [s]} \lambda _{ij} \alpha _i(c,d)\alpha _j(a,b) = \sum _{i,j \in [s]} \lambda _{ij} \alpha _i(d,c)\alpha _j(a,b) \nonumber \\ &=& \sum _{i,j \in [s]} \lambda _{ij} \alpha _i(a,b)\alpha _j(d,c). \end{eqnarray}

Returning to the claim, it suffices to prove $\psi = \psi \circ (1\,\,2) = \psi \circ (1\,\,3) = \psi \circ (1\,\,4)$ on $V^1 \times V^1 \times V^1 \times V^1$ . Fix $x,y,z,w \in V^1$ . Using the identities (9), (10) and (11) above we obtain

\begin{align*} \psi (y,x,z,w) = &\sum _{i,j \in [s]} \lambda _{ij} \alpha _i(y,x) \alpha _j(z,w) + \sum _{i,j \in [s]} \lambda _{ij} \alpha _i(y,z) \alpha _j(x,w) + \sum _{i,j \in [s]} \lambda _{ij} \alpha _i(y,w) \alpha _j(x,z)\\[5pt] = &\sum _{i,j \in [s]} \lambda _{ij} \alpha _i(x,y) \alpha _j(z,w) + \sum _{i,j \in [s]} \lambda _{ij} \alpha _i(x,w)\alpha _j(y,z) + \sum _{i,j \in [s]} \lambda _{ij} \alpha _i(x,z)\alpha _j(y,w)\\[5pt] = &\sum _{i,j \in [s]} \lambda _{ij} \alpha _i(x,y) \alpha _j(z,w)+ \sum _{i,j \in [s]} \lambda _{ij} \alpha _i(x,z)\alpha _j(y,w) + \sum _{i,j \in [s]} \lambda _{ij} \alpha _i(x,w)\alpha _j(y,z)\\[5pt] = &\; \psi (x, y,z,w). \end{align*}

Next, we have

\begin{align*} \psi (z,y,x,w) =&\sum _{i,j \in [s]} \lambda _{ij} \alpha _i(z,y) \alpha _j(x,w) + \sum _{i,j \in [s]} \lambda _{ij} \alpha _i(z,x) \alpha _j(y,w) + \sum _{i,j \in [s]} \lambda _{ij} \alpha _i(z,w) \alpha _j(y,x)\\[5pt] =& \sum _{i,j \in [s]} \lambda _{ij} \alpha _i(y,z) \alpha _j(x,w) + \sum _{i,j \in [s]} \lambda _{ij} \alpha _i(x,z) \alpha _j(y,w) + \sum _{i,j \in [s]} \lambda _{ij} \alpha _i(z,w) \alpha _j(x,y)\\[5pt] =&\sum _{i,j \in [s]} \lambda _{ij} \alpha _i(x,w)\alpha _j(y,z) + \sum _{i,j \in [s]} \lambda _{ij} \alpha _i(x,z) \alpha _j(y,w) + \sum _{i,j \in [s]} \lambda _{ij} \alpha _i(x,y)\alpha _j(z,w)\\[5pt] =&\sum _{i,j \in [s]} \lambda _{ij} \alpha _i(x,y)\alpha _j(z,w) + \sum _{i,j \in [s]} \lambda _{ij} \alpha _i(x,z) \alpha _j(y,w) + \sum _{i,j \in [s]} \lambda _{ij} \alpha _i(x,w)\alpha _j(y,z)\\[5pt] =\; & \psi (x, y,z,w). \end{align*}

Finally, we have

\begin{align*} \psi (w,y,z,x) =&\sum _{i,j \in [s]} \lambda _{ij} \alpha _i(w,y) \alpha _j(z,x) + \sum _{i,j \in [s]} \lambda _{ij} \alpha _i(w,z) \alpha _j(y,x) + \sum _{i,j \in [s]} \lambda _{ij} \alpha _i(w,x) \alpha _j(y,z)\\[5pt] = &\sum _{i,j \in [s]} \lambda _{ij} \alpha _i(y,w) \alpha _j(x,z) + \sum _{i,j \in [s]} \lambda _{ij} \alpha _i(z,w) \alpha _j(x,y) + \sum _{i,j \in [s]} \lambda _{ij} \alpha _i(x,w) \alpha _j(y,z)\\[5pt] = &\sum _{i,j \in [s]} \lambda _{ij} \alpha _i(x,z)\alpha _j(y,w) + \sum _{i,j \in [s]} \lambda _{ij} \alpha _i(x,y)\alpha _j(z,w) + \sum _{i,j \in [s]} \lambda _{ij} \alpha _i(x,w) \alpha _j(y,z)\\[5pt] = &\sum _{i,j \in [s]} \lambda _{ij} \alpha _i(x,y)\alpha _j(z,w) + \sum _{i,j \in [s]} \lambda _{ij} \alpha _i(x,z)\alpha _j(y,w) + \sum _{i,j \in [s]} \lambda _{ij} \alpha _i(x,w) \alpha _j(y,z)\\[5pt] = &\; \psi (x, y,z,w). \end{align*}

Thus, we may consume $\psi$ into $\sigma$ and without loss of generality $\phi$ takes the shape

(12) \begin{eqnarray} \phi (x,y,z,w) = \sigma (x,y,z,w) &+&\rho (x,y) \beta _1(z,w) + \rho (x,z) \beta _2(y,w) + \rho (x,w) \beta _3(y,z)\nonumber \\[5pt] &+&\rho (y,z) \beta _4(x,w) + \rho (y,w) \beta _5(x,z) + \rho (z,w) \beta _6(x,y) \end{eqnarray}

for $x,y,z,w \in V^1$ .

We use the symmetry properties of $\phi$ for the second time in order to elucidate the structure of forms $\beta _1, \ldots, \beta _6$ . Equality $\phi = \phi \circ (1\,\,2)$ implies that

\begin{align*} 0 &= \phi (x,y,z,w) + \phi (y,x,z,w) \\[5pt] &= \rho (x,z) (\beta _2(y,w) + \beta _4(y,w))+ \rho (x,w) (\beta _3(y,z) + \beta _5(y,z)) + \rho (y,z) (\beta _4(x,w) + \beta _2(x,w))\\[5pt] & \quad + \rho (y,w) (\beta _5(x,z) + \beta _3(x,z)) + \rho (z,w) (\beta _6(x,y) + \beta _6(y,x)) \end{align*}

for $x,y,z,w \in V^1$ . If we fix $(z,w) \in V^1 \times V^1$ such that $\rho (z,w) = 1$ (such a point exists by Lemma 11 if $m \geq 100(s^2 + s + 1)$ ), we see that the rank of the map $(x,y) \mapsto \beta _6(x,y) + \beta _6(y,x)$ on $V^1 \times V^1$ is at most 4. Similarly, if we fix $(x,z) \in V^1 \times V^1$ such that $\rho (x,z) = 1$ (respectively $(x,w) \in V^1 \times V^1$ such that $\rho (x,w) = 1$ ), we obtain that the rank of $\beta _2 + \beta _4 + \mu \rho$ for scalar $\mu = \beta _3(x,z) + \beta _5(x,z)$ (respectively $\beta _3 + \beta _5 + \mu ' \rho$ for scalar $\mu ' = \beta _2(x,w) + \beta _4(x,w)$ ) is at most 3 on $V^1 \times V^1$ . Using Lemma 8 we find a suitable subspace $W^1 \leq V^1$ of $\dim W^1 \geq \dim V^1 - 10$ such that $\beta _6|_{W^1 \times W^1}$ is symmetric and

(13) \begin{equation} \beta _2|_{W^1 \times W^1} + \beta _4|_{W^1 \times W^1}, \beta _3|_{W^1 \times W^1} + \beta _5|_{W^1 \times W^1} \in \langle \rho |_{W^1 \times W^1} \rangle . \end{equation}

Proceeding further, equality $\phi = \phi \circ (1\,\,3)$ and the fact that $\beta _6|_{W^1 \times W^1}$ is symmetric imply that for $x,y,z,w \in W^1$ we have

\begin{align*} 0 &= \phi (x,y,z,w) + \phi (z,y,x,w) \\[5pt] &= \rho (x,y) (\beta _1(z,w) + \beta _4(z,w)) + \rho (x,w) (\beta _3(y,z) + \beta _6(z,y)) + \rho (y,z) (\beta _4(x,w) + \beta _1(x,w))\\[5pt] & \quad + \rho (y,w) (\beta _5(x,z) + \beta _5(z,x)) + \rho (z,w) (\beta _6(x,y) + \beta _3(y,x))\\[5pt] & = \rho (x,y) (\beta _1(z,w) + \beta _4(z,w)) + \rho (x,w) (\beta _3(y,z) + \beta _6(y,z)) + \rho (y,z) (\beta _4(x,w) + \beta _1(x,w))\\[5pt] & \quad + \rho (y,w) (\beta _5(x,z) + \beta _5(z,x)) + \rho (z,w) (\beta _6(x,y) + \beta _3(y,x)). \end{align*}

Again, fixing suitable pairs of $x,y,z,w \in W^1$ with $\rho = 1$ (using Lemma 11, assuming $m \geq 200(s^2 + s + 1)$ ), we see that the ranks of $(x,z) \mapsto \beta _5(x,z) + \beta _5(z,x)$ , $\beta _1 + \beta _4 + \mu \rho$ and $\beta _3 + \beta _6 + \mu '\rho$ for suitable scalars $\mu, \mu ' \in \mathbb{F}_2$ are at most 4,3 and 3 respectively. After passing to a suitable subspace $W^2 \leq W^1$ of $\dim W^2 \geq \dim W^1 - 10$ using Lemma 8, we obtain that $\beta _5|_{W^2 \times W^2}$ is symmetric and

(14) \begin{equation} \beta _1|_{W^2 \times W^2} + \beta _4|_{W^2 \times W^2}, \beta _3|_{W^2 \times W^2} + \beta _6|_{W^2 \times W^2} \in \langle \rho |_{W^2 \times W^2} \rangle . \end{equation}

Finally, equality $\phi (x,y,z,w) = \phi (w,y,z,x) + \rho (x,y) \rho (z,w) + \rho (x,z) \rho (y,w)$ and symmetry of maps $\beta _6|_{W^2 \times W^2}$ and $\beta _5|_{W^2 \times W^2}$ give

\begin{align*} &\rho (x,y) \rho (z,w) + \rho (x,z) \rho (y,w) = \phi (x,y,z,w) + \phi (w,y,z,x)\\[5pt] &=\rho (x,y) (\beta _1(z,w) + \beta _5(w,z)) + \rho (x,z)(\beta _2(y,w)+\beta _6(w,y)) + \rho (y,z)(\beta _4(x,w) + \beta _4(w,x))\\[5pt] &+ \rho (y,w) (\beta _5(x,z) + \beta _1(z, x)) + \rho (z,w) (\beta _6(x,y) + \beta _2(y,x))\\[5pt] &=\rho (x,y) (\beta _1(z,w) + \beta _5(z,w)) + \rho (x,z)(\beta _2(y,w)+\beta _6(y,w)) + \rho (y,z)(\beta _4(x,w) + \beta _4(w,x))\\[5pt] &+ \rho (y,w) (\beta _5(z,x) + \beta _1(z, x)) + \rho (z,w) (\beta _6(y,x) + \beta _2(y,x)) \end{align*}

for all $x,y,z,w \in W^2$ . Applying the same argument for the third time, after fixing suitable pairs of $x,y,z,w \in W^1$ with $\rho = 1$ (using Lemma 11, this time assuming $m \geq 300(s^2 + s + 1)$ ) we see that the ranks of $(x,w) \mapsto \beta _4(x,w) + \beta _4(w,x)$ , $\beta _1 + \beta _5 + \mu \rho$ and $\beta _2 + \beta _6 + \mu '\rho$ for suitable scalars $\mu, \mu ' \in \mathbb{F}_2$ are at most 6,4 and 4 respectively. We thus find a subspace $W^3 \leq W^2$ of $\dim W^3 \geq \dim W^2 - 14$ using Lemma 8, such that $\beta _4|_{W^3 \times W^3}$ is symmetric and

(15) \begin{equation} \beta _1|_{W^3 \times W^3} + \beta _5|_{W^3 \times W^3}, \beta _2|_{W^3 \times W^3} + \beta _6|_{W^3 \times W^3} \in \langle \rho |_{W^3 \times W^3} \rangle . \end{equation}

Using facts (13), (14) and (15), writing $\beta = \beta _6$ and restricting all maps to the product $W^3 \times W^3$ , we obtain $\beta _2, \beta _3 \in \beta + \langle \rho \rangle$ , from which we further get $\beta _4 \in \beta _2 + \langle \rho \rangle = \beta + \langle \rho \rangle$ and $\beta _5 \in \beta _3 + \langle \rho \rangle = \beta + \langle \rho \rangle$ , which finally implies $\beta _1 \in \beta _4 + \langle \rho \rangle = \beta + \langle \rho \rangle$ . Hence, all $\beta _i$ belong to $\beta + \langle \rho \rangle$ . In conclusion, we obtain scalars $\lambda _1, \lambda _2, \lambda _3 \in \mathbb{F}_2$ such that

\begin{align*} \phi (x,y,z,w) = \sigma (x,y,z,w) + &\rho (x,y) \beta (z,w) + \rho (x,z) \beta (y,w) + \rho (x,w) \beta (y,z)\\[5pt] + &\rho (y,z) \beta (x,w) + \rho (y,w) \beta (x,z) + \rho (z,w) \beta (x,y)\\[5pt] + &\lambda _1\rho (x,y)\rho (z,w) + \lambda _2\rho (x,z)\rho (y,w) + \lambda _3\rho (x,w)\rho (y,z) \end{align*}

holds for all $x,y,z,w \in W^3$ .

Since $\rho$ and $\beta$ are symmetric on $W^3 \times W^3$ , the multilinear form

\begin{equation*}\rho (x,y) \beta (z,w) + \rho (x,z) \beta (y,w) + \rho (x,w) \beta (y,z) + \rho (y,z) \beta (x,w) + \rho (y,w) \beta (x,z) + \rho (z,w) \beta (x,y)\end{equation*}

is readily seen to be symmetric, so it can be consumed into $\sigma$ , and on $W^3 \times W^3 \times W^3 \times W^3$ we may assume that

(16) \begin{eqnarray} \phi (x,y,z,w) = \sigma (x,y,z,w) + \lambda _1\rho (x,y)\rho (z,w) + \lambda _2\rho (x,z)\rho (y,w) + \lambda _3\rho (x,w)\rho (y,z). \end{eqnarray}

Let us use the symmetry conditions for $\phi$ for the final time in order to understand the relationship between scalars $\lambda _1, \lambda _2$ and $\lambda _3$ . Note that the codimension of the subspace $W^3$ inside $U'$ is at most $2s^2 + 5s + 30$ , so by Lemma 9 we have $\textrm{rank} \rho |_{W^3 \times W^3} \geq 2$ (assuming $m \geq 100(s^2 + s+ 1)$ ). The equality $\phi = \phi \circ (1\,\,2)$ gives

\begin{equation*}(\lambda _2 + \lambda _3)(\rho (x,z)\rho (y,w) + \rho (x,w)\rho (y,z)) = 0\end{equation*}

for all $x,y,z,w \in W^3$ . Since $\textrm{rank} \rho |_{W^3 \times W^3} \geq 2$ , the map $\rho |_{W^3 \times W^3}$ is non-zero, so we can find $(y,w) \in W^3 \times W^3$ such that $\rho (y,w) = 1$ . The equality above then shows that $(\lambda _2 + \lambda _3)\rho |_{W^3 \times W^3}$ has rank at most 1. However, using the fact that the rank of $\rho |_{W^3 \times W^3}$ is at least 2 again, we deduce $\lambda _2 = \lambda _3$ .

Similarly, the condition $\phi = \phi \circ (1\,\,3)$ implies

\begin{equation*}(\lambda _1 + \lambda _3)(\rho (x,y)\rho (z,w) + \rho (x,w)\rho (y,z)) = 0\end{equation*}

for all $x,y,z,w \in W^3$ . Using the same rank bound $\textrm{rank} \rho |_{W^3 \times W^3} \geq 2$ allows us to deduce $\lambda _1 = \lambda _3$ .

Putting these equalities together we see that $\lambda _1 = \lambda _2 = \lambda _3$ and equality (16) then becomes

\begin{equation*}\phi (x,y,z,w) = \sigma (x,y,z,w) + \lambda _1\Big (\rho (x,y)\rho (z,w) + \rho (x,z)\rho (y,w) + \rho (x,w)\rho (y,z)\Big )\end{equation*}

so $\phi = \phi \circ (1\,\,4)$ on $W^3 \times W^3$ . The third symmetry condition tells us that

\begin{equation*}\rho (x,y) \rho (z,w) + \rho (x,z) \rho (y,w) = 0\end{equation*}

for all $x,y,z,w \in W^3$ , which is a contradiction as the rank of $\rho |_{W^3 \times W^3}$ is at least 2. To complete the proof of the theorem it remains to choose $m = 20,000(r^2 + r + 1)$ (recall that $s \leq 6r$ ) so that all conditions on $m$ are satisfied. The assumption $n \geq (1000r)^3$ in the statement of the theorem then implies the condition (3).

Acknowledgements

This work was supported by the Serbian Ministry of Education, Science and Technological Development through Mathematical Institute of the Serbian Academy of Sciences and Arts. I would like to thank an anonymous referee for a thorough reading of the paper and numerous useful suggestions.

Footnotes

1 In the case of bilinear forms, the partition rank becomes just the usual notion of rank from linear algebra.

2 For a given bilinear map $\beta \colon U \times V \to \mathbb{F}_2^r$ and a value $\lambda \in \mathbb{F}_2^r$ , where $U$ and $V$ are finite-dimensional vector spaces over $\mathbb{F}_2$ , we may consider the bipartite graph with vertex classes $U$ and $V$ and edges $uv$ for all pairs of vertices that satisfy $\beta (u,v) = \lambda$ . To understand the regularity properties of this graph we may use Szemerédi’s regularity lemma and the graph counting lemma which would roughly have the roles of Lemmas 10 and 11 respectively. This would require applying Szemerédi’s regularity lemma with the error parameter $\varepsilon$ roughly $p^{-r}$ .

3 This and the next step can be replaced with a single application of the two-dimensional Gowers-Cauchy-Schwarz inequality.

4 The same argument could have been carried out inside the subspace $U'$ instead of $V^1$ , but we opted to pass immediately to $V^1$ so that $V^2$ becomes a subspace of $V^1$ . This simplifies the notation slightly later in the proof.

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