Triforce and Corners
Jacob Fox, Ashwin Sah, Mehtaab Sawhney, David Stoner, and Yufei Zhao

TL;DR
This paper investigates the density of triforce configurations in 3-uniform hypergraphs and the occurrence of corners in subsets of finite abelian groups, revealing asymptotic behaviors and constructing counterexamples.
Contribution
It establishes the asymptotic density of triforce configurations and the maximum number of corners in dense subsets, providing new bounds and counterexamples for these combinatorial structures.
Findings
Minimum triforce density is elta^{4-o(1)}
Maximum number of corners is elta^{4-o(1)}
Existence of dense sets with few corners for certain parameters
Abstract
May the be the 3-uniform hypergraph on six vertices with edges . We show that the minimum triforce density in a 3-uniform hypergraph of edge density is but not . Let be the maximum number such that the following holds: for every and with sufficiently large, if with , then there exists a nonzero "popular difference" such that the number of "corners" is at least . As a corollary via a recent result of Mandache, we conclude that and . On the other hand, for and sufficiently large , there exists with such that for every $d…
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Triforce and corners
Jacob Fox
Department of Mathematics, Stanford University, Stanford, CA 94305, USA
,
Ashwin Sah
Massachusetts Institute of Technology, Cambridge, MA 02139, USA
,
Mehtaab Sawhney
Massachusetts Institute of Technology, Cambridge, MA 02139, USA
,
David Stoner
Harvard University, Cambridge, MA 02138, USA
and
Yufei Zhao
Department of Mathematics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
(Date: March 2019)
Abstract.
May the triforce be the 3-uniform hypergraph on six vertices with edges . We show that the minimum triforce density in a 3-uniform hypergraph of edge density is but not .
Let be the maximum number such that the following holds: for every and with sufficiently large, if with , then there exists a nonzero “popular difference” such that the number of “corners” is at least . As a corollary via a recent result of Mandache, we conclude that and .
On the other hand, for and sufficiently large , there exists with such that for every , the number of corners is at most . A similar bound holds in higher dimensions, or for any configuration with at least 5 points or affine dimension at least 3.
JF was supported by a Packard Fellowship and NSF Career Award DMS-1352121.
YZ was supported by NSF Award DMS-1764176, and the MIT Solomon Buchsbaum Fund.
The Triforce …the sacred triangle …it is a balance that weighs the three forces: Power, Wisdom and Courage. If the heart of the one who holds the sacred triangle has all three forces in balance, that one will gain the True Force to govern all.
— The Legend of Zelda: Ocarina of Time
1. Introduction
Green [10] () and Green–Tao [12] () proved the following strengthening of Szemerédi’s theorem, confirming a conjecture of Bergelson, Host, and Kra [4]: for every and there exists such that if and has , then there exists some such there are at least different -term arithmetic progressions with common difference in , i.e.,
[TABLE]
We abbreviate “-term arithmetic progression” as -AP from now on. Note that the above estimate is tight for a random subset of of density . Even though there exist sets where the total number of -APs is much less than the random example, the above results say that, for , there always exists some “popular difference” shared by lots of -APs in .
Curiously, the above -AP popular difference result is specific to , as it was shown [4] (with appendix by Ruzsa) that the statement is false for every . In particular, it was shown that for each fixed , there exists a constant such that for every , there exists with such that for every ,
[TABLE]
We are interested in a multidimensional variant of the above result. A corner is a pattern of the form where is an abelian group and (we can also consider an interval instead of ). It is a classic result of Ajtai and Szemerédi [1], known as the corners theorem, that every corner-free subset of has density . Solymosi [19] gave a simpler proof of the corners theorem, showing that it follows from the diamond-free lemma.111The corner theorem was originally stated within the integer grid , but the graph-theoretic proof extends to where is a finite group as observed by Solymosi [20]. The diamond-free lemma is also often stated in equivalent versions known as the induced matching theorem or the -theorem. The diamond-free lemma states that any graph on vertices in which each edge is in exactly one triangle has edges. The diamond-free lemma in turn follows easily from the triangle removal lemma, that any graph on vertices with triangles can be made triangle-free by removing edges.
Given and , let
[TABLE]
Then is the number of corners in with common difference . The naive extension of the popular difference statement is false for corners, as Mandache [14] showed, improving an earlier construction by Chu [5], that there exists with and . That is, we cannot always expect to find popular differences shared by as many corners as the random case. Though, perhaps we can hope for a bit less and look for popular differences that are shared by at least corners—less than random, but still plenty. Note that here the exponent here should depend only on the pattern and not on the groups.
Fixing a sequence of abelian groups with , let denote the maximum number such that for every , if is sufficiently large and , then there exists such that .
Mandache related to the following extremal problem. Let a triforce, denoted , be a 3-uniform hypergraphs on 6 vertex with edges . Given a measurable function222In [14], the function was restricted to piecewise constant functions, but these two formulations are equivalent by a standard approximation argument. , write
[TABLE]
for the triforce density of . Let denote the infimum (actually a minimum due to compactness333The compactness in this case essentially follows from Lovász–Szegedy [13] as the triforce is a linear hypergraph. See [6, 23] for general compactness results about hypergraph limits.) of \leavevmode\hbox to11.38pt{\vbox to9.86pt{\pgfpicture\makeatletter\hbox{\hskip 0.0pt\lower-1.19998pt\hbox to0.0pt{\pgfsys@beginscope\pgfsys@invoke{ }\definecolor{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@rgb@stroke{0}{0}{0}\pgfsys@invoke{ }\pgfsys@color@rgb@fill{0}{0}{0}\pgfsys@invoke{ }\pgfsys@setlinewidth{0.4pt}\pgfsys@invoke{ }\nullfont\hbox to0.0pt{\pgfsys@beginscope\pgfsys@invoke{ }{{}}{{}} {}{{}}{} {{}{}}{} {{}{}}{} {}{}{{}}{} {{}{}}{} {{}{}}{} {}{}{{}}{} {{}{}}{} {{}{}}{} {}\pgfsys@beginscope\pgfsys@invoke{ }\color[rgb]{0,0,0}\definecolor[named]{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@gray@stroke{0}\pgfsys@invoke{ }\pgfsys@color@gray@fill{0}\pgfsys@invoke{ }\definecolor[named]{pgffillcolor}{rgb}{0,0,0}\pgfsys@moveto{0.0pt}{-1.19998pt}\pgfsys@lineto{5.69046pt}{-1.19998pt}\pgfsys@lineto{2.84523pt}{3.7281pt}\pgfsys@closepath\pgfsys@moveto{5.69046pt}{-1.19998pt}\pgfsys@lineto{11.38092pt}{-1.19998pt}\pgfsys@lineto{8.53569pt}{3.7281pt}\pgfsys@closepath\pgfsys@moveto{2.84523pt}{3.7281pt}\pgfsys@lineto{8.53569pt}{3.7281pt}\pgfsys@lineto{5.69046pt}{8.6562pt}\pgfsys@closepath\pgfsys@fill\pgfsys@invoke{ } \pgfsys@invoke{\lxSVG@closescope }\pgfsys@endscope \pgfsys@invoke{\lxSVG@closescope }\pgfsys@endscope{}{}{}\hss}\pgfsys@discardpath\pgfsys@invoke{\lxSVG@closescope }\pgfsys@endscope\hss}}\lxSVG@closescope\endpgfpicture}}(W) among all with .
Theorem 1.1** (Mandache).**
For all , one has . Furthermore, if is any convex function with pointwise, then for with fixed prime , one has .
The first part of Theorem 1.1 was proved via the following randomized construction. For every , let be i.i.d. uniform random variables in . Given , construct by including every in with probability . It is then easy to check that for every , has expectation \leavevmode\hbox to11.38pt{\vbox to9.86pt{\pgfpicture\makeatletter\hbox{\hskip 0.0pt\lower-1.19998pt\hbox to0.0pt{\pgfsys@beginscope\pgfsys@invoke{ }\definecolor{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@rgb@stroke{0}{0}{0}\pgfsys@invoke{ }\pgfsys@color@rgb@fill{0}{0}{0}\pgfsys@invoke{ }\pgfsys@setlinewidth{0.4pt}\pgfsys@invoke{ }\nullfont\hbox to0.0pt{\pgfsys@beginscope\pgfsys@invoke{ }{{}}{{}} {}{{}}{} {{}{}}{} {{}{}}{} {}{}{{}}{} {{}{}}{} {{}{}}{} {}{}{{}}{} {{}{}}{} {{}{}}{} {}\pgfsys@beginscope\pgfsys@invoke{ }\color[rgb]{0,0,0}\definecolor[named]{pgfstrokecolor}{rgb}{0,0,0}\pgfsys@color@gray@stroke{0}\pgfsys@invoke{ }\pgfsys@color@gray@fill{0}\pgfsys@invoke{ }\definecolor[named]{pgffillcolor}{rgb}{0,0,0}\pgfsys@moveto{0.0pt}{-1.19998pt}\pgfsys@lineto{5.69046pt}{-1.19998pt}\pgfsys@lineto{2.84523pt}{3.7281pt}\pgfsys@closepath\pgfsys@moveto{5.69046pt}{-1.19998pt}\pgfsys@lineto{11.38092pt}{-1.19998pt}\pgfsys@lineto{8.53569pt}{3.7281pt}\pgfsys@closepath\pgfsys@moveto{2.84523pt}{3.7281pt}\pgfsys@lineto{8.53569pt}{3.7281pt}\pgfsys@lineto{5.69046pt}{8.6562pt}\pgfsys@closepath\pgfsys@fill\pgfsys@invoke{ } \pgfsys@invoke{\lxSVG@closescope }\pgfsys@endscope \pgfsys@invoke{\lxSVG@closescope }\pgfsys@endscope{}{}{}\hss}\pgfsys@discardpath\pgfsys@invoke{\lxSVG@closescope }\pgfsys@endscope\hss}}\lxSVG@closescope\endpgfpicture}}(W) and is concentrated near its mean by Azuma–Hoeffding/McDiarmid’s inequality.
The second part of Theorem 1.1 was proved via an arithmetic regularity style argument, combined with ideas from the Fourier analytic proof of the corners theorem. It seems likely that the result can be extended to all abelian groups via Bohr sets, though as far as we know this has not yet been worked out.
Mandache showed that and asked what is the optimal exponent on . Here we show that the answer is , and that the lower bound can be improved by an arbitrarily large factor. (We write and both to mean for some constant , and to mean .)
Theorem 1.2**.**
* and as .*
It is not hard to show that for any with and is lower bounded by a convex function with and .
Corollary 1.3** (Popular corners).**
For all sequence of finite abelian groups with , one has . Furthermore, for with fixed prime , one has .
This result solves Problem 19 from Ben Green’s collection of open problems [11]. For more precise dependencies, the lower bound on is tied to the bound in the triangle removal lemma, and the upper bound on is tied to the bound in the diamond-free lemma, which itself can be bounded using Behrend’s construction of 3-AP-free sets [3].
The problem of computing is a tripartite analog of the following extremal problem for 3-uniform hypergraphs: determine the minimum density of triforces among 3-uniform hypergraphs with edge density at least . Here the density of in is defined to be the number of homomorphisms from to divided by . By a standard graph limit argument, this problem is equivalent to the modified extremal problem for where we restrict to functions that are symmetric with respect to permutations of its arguments , and as a result, we have . On the other hand, one has by viewing a tripartite 3-uniform hypergraph with vertices in each part as a 3-uniform hypergraph on vertices. Thus, to show Theorem 1.2, it suffices to show that and . In fact, our proof works directly in both settings even without referring to the above relationship between and .
Theorem 1.4**.**
Let be the minimum triforce density in a 3-uniform hypergraph with edge density at least . Then and .
The natural generalization to -uniform hypergraphs holds with essentially the same proof. We state it explicitly below. Let a -force be the -uniform hypergraph with vertices and edges ,, …, .
Theorem 1.5**.**
Fix . Let be the the minimum -force density in a -uniform hypergraph with edge density at least . Then and .
One might suspect that the -force density result would lead to consequences for popular -dimensional corners. However, this is not the case, as our second main result below says.
Theorem 1.6**.**
Let . For all sufficiently large , there exists with such that for all nonzero integer , there are at most triples with . Here is some absolute constant.
As we will see in the proof of Theorem 1.6, this construction is closely related to the construction in [4] of a set lacking popular differences for 5-APs. We also extend the counterexample of [4] to all -point patterns in .
Theorem 1.7**.**
Let and fix five distinct integers . For all sufficiently large , there exists with such that for all nonzero integer , there are at most values of such that , , , , . Here is a constant depending only on .
A simple padding and projection of these constructions gives analogous constructions for avoiding popular differences for all patterns with affine dimension at least 3 or at least points, in particular, -dimensional corners for all .
Corollary 1.8**.**
Fix a finite subset with affine dimension at least 3 or at least distinct points. Let . For all sufficiently large , there exists with such that for all nonzero integers , there are at most points such that , where is a constant.
2. Minimum triforce densities
Now we begin the proof of Theorem 1.4. We present the proof in the way that highlights the dependencies between the bounds in Roth’s theorem, the diamond-free lemma, the triangle removal lemma, and the minimum triforce density function .
Let be the minimum such that every graph on vertices with at most triangles can be made triangle-free by removing at most edges. The triangle removal lemma [17] states that as . Note that, by definition, is a monotonically decreasing function.
A diamond-free graph is a graph in which each edge is in exactly one triangle. Define so that is the maximum number of edges of a diamond-free graph on vertices. The diamond-free lemma states that . The diamond-free lemma is an easy consequence of the triangle removal lemma. Indeed, in a diamond-free graph on vertices with edges, the number of triangles is with , so we can remove edges to make it triangle-free with . However, in such a graph we need to delete an edge from each of these edge-disjoint triangles, so .
Let be the maximum possible density of a subset of without a -term arithmetic progression. By Roth’s theorem [16], , and Behrend’s construction [3] implies that . The proof of Roth’s theorem from the diamond-free lemma gives a construction of a graph on vertices with edges, and each edge is in exactly one triangle. Indeed, every 3-AP-free gives rise to the following diamond-free graph: take the tripartite graph with vertex parts with and edges , and , ranging over all . Thus, , or equivalently, .
The next lemma implies the claimed upper bound on . To avoid confusion, we use “triple” to refer to an edge of a 3-uniform hypergraph, “edge” to refer to an edge of a graph, and “triangle” to refer to a triangle in a graph.
Lemma 2.1**.**
For every integer and , we have .
Proof.
Let be a graph with vertices and edges such that every edge is in exactly one triangle. Let be the -uniform hypergraph on the same vertex set as in which the triples of are precisely the triangles of . The triple density of is . The only homomorphisms from the triforce to map the vertices of the triforce to those of a single triple of , so the triforce density is . ∎
From the above lemma and the Behrend bound described above, we get . In particular, .
The next lemma implies the claimed lower bound on .
Lemma 2.2**.**
For every , we have .
Proof.
Let be a -uniform hypergraph with at least triples (i.e., triple density at least ). If has a pair of vertices in at most triples, then delete all triples of containing that pair of vertices, and repeat. In total, we delete at most triples, so the remaining subhypergraph has at least triples, and each pair of vertices lying in some triple of actually lies in at least triples of .
Let be the graph with the same vertex set as , where if and both lie in some triple of (and hence in at least triples of ). We can extend each triangle in to at least triforces (as homomorphisms). Hence, if has at least triangles, then (and hence ) has at least triforces, and we would be done.
We have reduced the problem to the case where has fewer than triangles. By the triangle removal lemma, there is an edge subset such that and every triangle of contains at least one edge in . Note that every triple of forms a triangle in , so every triple of contains at least one edge in . Call an edge strong if and are contained in at least triples of . The number of triples of that contain a strong edge is at least . Every triple of that contains a strong edge can be extended to at least triforces. Thus, the number of triforces is at least
[TABLE]
∎
As (this follows from the Behrend bound as described above), and as , Lemma 2.2 implies that .
Lemmas 2.2 and 2.1 complete the proof of Theorem 1.4.
The proof of Theorem 1.5 is almost verbatim the same as that of Theorem 1.4. In modifying the above proofs, becomes a -uniform hypergraph and becomes a -uniform hypergraph. Instead of the triangle removal lemma, we would apply the simplex removal lemma for hypergraphs. We omit the details.
3. Constructions avoiding popular differences
In this section we prove Theorems 1.6 and 1.7.
3.1. Motivation of proof
Before diving into the proof it is worth considering the relationship between this result and the counterexample given by Bergelson, Host, Kra, and Ruzsa [4] for popular differences for -AP’s. The counterexample for 5-AP popular difference in [4] essentially444Note that in [4] the counterexample is only stated for infinitely many . We require additional considerations in order for the result to apply for all sufficiently large and these can be adapted to the setting in [4]. Conversely the number theoretic considerations in our proof are simplified when giving a counterexample for only infinitely many . implies the analogous version of Theorem 1.6 for 4-dimensional corners by pulling back the 5-AP counterexample via the map .
This pull-back construction and the Green-Tao [12] result on popular differences for -APs may suggest that the popular difference result for -dimensional corners extends to -dimensional corners. However, the Green-Tao [12] proof (based on [4]) ultimately boils down to the identity for quadratic polynomials . This identity yields a critical positivity as it can be rewritten as and there is an inherent symmetry between the left and right hand sides. However, a -dimensional corner can project not only to a -AP but other -term progressions, e.g., and such patterns do not posses the same “magical” positivity.
Ruzsa’s construction relies on the property that if is a nonconstant univariate quadratic polynomial taking values, then cannot all lie on the unit sphere. This can be proved using the identities and , and observing that no 5 points on a sphere can satisfy these linear relations.
If there were an identity expressing , say, as a convex combination of , , and , over all quadratic polynomials , then one can mimic the proof given in [4] to construct a subset of without popular 3-dimensional corners. However, this approach fails as no such identity can exist, since if for all quadratic polynomials , where , ’s are constants with , all ’s distinct, and ’s not all zero, then by Lagrange interpolation one can deduce that there must be two positive and two negative values among the ’s. However, we do not know if there are subsets of , in the style of Behrend’s construction, with elements avoiding such patterns (e.g., ).
However, the above discussion is limited to univariate polynomials. We can circumvent this difficulty by constructing a quadratic polynomial satisfying and then carry out the strategy in [4].
3.2. Proof of Theorem 1.6
Define
[TABLE]
which satisfies the following useful identity:
[TABLE]
Lemma 3.1**.**
There is an absolute constant such that the following holds. For every integer there exists a subset of having at least elements that does not contain any nontrivial solutions to (here a trivial solution is one with ).
Proof.
This follows from a standard modification from Behrend’s construction [3] of a large 3-AP-free set (e.g., see [2, Lemma 3.1]). ∎
For the equation this construction is known be essentially the best possible due to the work of Schoen and Sisask [18]. The next lemma is similar to Lemma 2.3 in [4].
Lemma 3.2**.**
Let be a subset of not containing any nontrivial solutions to and be a fixed real constant. For each , let
[TABLE]
and let
[TABLE]
Let be the polynomial in (1). Let , , , and and suppose that all lie in . Then
[TABLE]
where denotes the distance from to the closest integer.
Proof.
By (2), we have . Let be such that , , , and . Then lies in and lies in . Since , these two intervals intersects exactly when , which implies that since has no nontrivial solutions to this equation. The conclusion follows from the identity and that and both lie in the interval with length . ∎
Finally, as in [4], we need irrational numbers well-approximable by fractions with a special property ([4] only contains a sketch of this part of the argument). In [4] the result for 5-APs is proved only for infinitely many values of . In order to make the construction work for all sufficiently large , we need to construct a set of such irrational numbers rather than the single number used in [4], which explains some of the technicalities to follow. Later, we explain how to extend the 5-AP construction for infinitely many in [4] to all sufficiently large for any fixed five point pattern.
Before proceeding with the proof of the next lemma, we require several elementary facts regarding continued fractions. Here we use the standard notation that
[TABLE]
Let the -th approximant of the continued fraction be
[TABLE]
where and are relatively prime positive integers. By standard facts about continued fractions, we have the double recurrence
[TABLE]
for with and . Finally if and , then
[TABLE]
Lemma 3.3**.**
Fix a positive integer . Then there is a real such that the following holds. For all real , there is an irrational number and infinitely many fractions with relatively prime positive integers and having no prime factor smaller than such that , and for sufficiently large.
Proof.
In order to construct the desired irrational we build its continued fraction expansion iteratively. Let and set . Then (see [15]) and thus . Choose such that . It follows from Bertrand’s postulate that there exist primes such that and . Since and and are primes, we have and .
Now we check that there exist sequences of positive integers with the following properties:
- •
for each , where and are relatively prime, and
- •
there exists a positive integer with .
Indeed, this follows from running the Euclidean algorithm on and using the recurrence relation (3). This establishes the value of for all . Set for all , and set Now since and it inductively follows that , since for and satisfies . Furthermore, by construction, we have for . Thus either or for all , each of which is relatively prime to . Thus for is relatively prime to , and since , we see that for has no prime factors of size at most . We can now let for sufficiently large , and by construction these integers satisfy the required conditions. Finally, by (4) we have
[TABLE]
∎
We are ready to prove Theorem 1.6.
Proof of Theorem 1.6.
We may assume that is sufficiently small or otherwise we can take and then the theorem is true if the constant is chosen appropriately.
Let for an appropriately chosen sufficiently small constant . Apply Lemma 3.3 for and different values of , namely for . The lemma gives a single and irrationals as well as positive integers with so that for all ,
- •
for sufficiently large , and
- •
for , and
- •
for .
Let . Then the above properties hold for all and . Observe that all sufficiently large (here “sufficiently large” depends on ) are within a factor of from some with and . Therefore, to prove the theorem for all sufficiently large integers , it suffices to prove it for numbers of the form .
Let with and . Let . Define
[TABLE]
where, as in Lemma 3.2,
[TABLE]
and is a subset of of size not containing nontrivial solutions to (by Lemma 3.1). Let as in (1), and
[TABLE]
By the Weyl equidistribution criterion (e.g., see [21]), using for Lebesgue measure, as ,
[TABLE]
as long as we have chosen the constant in so that the last inequality is true. Thus, for sufficiently large , we have .
A key point here is that while the rate of convergence of the equidistribution claim may depend on , since there are only finitely many ’s that we need to consider, there is a single such that whenever with and as above.
Fix a nonzero integer with , which will be the common difference of the corners that we are counting. Suppose generates a corner of common difference within , i.e.
[TABLE]
Then
[TABLE]
by the construction (5). By Lemma 3.2, . So
[TABLE]
Recall that is relatively prime to all of as well as to . In particular, is odd. Also , so is not divisible by . It follows that is not an integer. Writing where and are relatively prime integers with positive, one has since all prime divisors of are greater than .
Thus . So . Since multiplication by is a bijection in , there are at most possible values that can take in , and hence there are possible values (recall ) that can take in . This gives at most possible values can take in . Therefore there are at most different points that generates a corner of common difference . ∎
3.3. Proof of Theorem 1.7
The construction for 5-point patterns is a modification of Ruzsa’s construction for 5-APs in [4].
Definition 3.4**.**
Let be a vector of distinct integer coordinates. A quadratic configuration of type , abbreviated , is a vector of the form where is some non-constant polynomial of degree at most 2.
We say that some set of integers contains a if for some nonconstant polynomial of degree at most .
Remark*.*
For 5-APs, [4] only considers , in which case was called a QC5.
Lemma 3.5**.**
Let . Given with distinct coordinates, there exists a vector for each such that is a if and only if not all entries of are equal and
[TABLE]
Proof.
For each and , set
[TABLE]
where is some positive integer so that all ’s are integers. We have that for all polynomials of degree at most , and all ,
[TABLE]
The above identity is essentially the Lagrange polynomial interpolation formula. It can also be verified, for each , by checking the identity on three linearly independent polynomials for . Both the linear independence claim and the quadratic polynomial identity can be verified by evaluations at .
If is , then by definition for some nonconstant polynomial of degree at most , and thus satisfies (6). Furthermore, cannot take the same value more than twice since it has degree at most 2, so not all coordinates of are equal.
Conversely, suppose some non-constant vector satisfies (6). Let be a polynomial of degree at most 2 such that for . Comparing (6) and (7) for each sequentially, noting that for all , we find that for all . Since is non-constant, is non-constant as well. ∎
The next lemma is a modification of Behrend’s construction, following Ruzsa’s appendix [4].
Lemma 3.6**.**
Fix a vector of five distinct integers. There exists a constant such that for every positive integer , there exists with that does not contain any .
Proof.
Let , , be the integer coefficients from Lemma 3.5. Let . Define
[TABLE]
where , , and chosen so that is as large as possible. Then .
It remains to show that contains no . Indeed, suppose form a via non-constant polynomial of degree at most so that for each . For each , let
[TABLE]
with integers . By (6), we have, for each ,
[TABLE]
The coefficient of each is an integer less than in absolute value, so they must all be zero due to the uniqueness of base- expansion. It follows that
[TABLE]
for each and . Then, for each there exist a polynomial of degree at most such that for each . Let . Then for each by the construction of . So is a polynomial of degree at most 4 with 5 distinct real roots , and thus must be a constant, and so . Hence has no . ∎
The next lemma is analogous to Lemma 3.2.
Lemma 3.7**.**
Fix a vector of five distinct integers. There exist positive integers depending only on such that the following holds. Let be a subset of not containing any . For each , let
[TABLE]
and let
[TABLE]
Let , , and for , and suppose that lies in for each . Then .
Proof.
Let , , , be the integer coefficients from Lemma 3.5. Let . Let such that for each . Since the linear relations (7) holds for the quadratic polynomial , we have
[TABLE]
For each , we have , and so . Considering the above displayed equality, we have
[TABLE]
Since , it follows that
[TABLE]
as integers. Likewise,
[TABLE]
Since and has no , we must have due to the characterization of in Lemma 3.5.
We have the identity
[TABLE]
Thus, setting and , we have
[TABLE]
In the last equality step we are using that . ∎
Proof of Theorem 1.7.
The construction is nearly identical to the proof of Theorem 1.6, except that now we apply Lemma 3.7 instead of Lemma 3.2. In particular, let be as in Lemma 3.6, construct as in Lemma 3.7, and let where is a suitable irrational number (as in the proof of Theorem 1.6). Then is the desired set. ∎
3.4. Proof of Corollary 1.8
We first consider the case when the pattern has at least points. By removing extra points, it suffices to prove the result with . Fix an integer larger than the sum of the magnitudes of the coordinates of all points in . Define the map . Let be a set in coming from Theorem 1.7 containing at most translates of every dilate of . Then is the desired construction that has at most translates of every dilate of .
We now consider patterns with affine dimension at least . First let us consider the case where , where is the -th coordinate vector. Let as in Theorem 1.6. Then has the desired property.
Now for an arbitrary of affine dimension at least 3, we find four points with affine span of dimension 3 (i.e., not all lying on a plane). Consider the -dimension lattice generated by as well as other independent integer vectors in the complementary subspace. Let be the linear transformation sending to and the first three coordinate vectors to . Then the image of (from the previous paragraph) under has the desired property (one loses only a constant factor in size depending on the map ). ∎
4. Open problems
We end on a list of open problems.
4.1. Quantitative dependence
Let be the minimum so that Green’s theorem [10] on popular difference for 3-APs holds for all , i.e., for every , , and with , there is some such that contains at least different 3-APs with common difference . Green proved that is at most an exponential tower of 2’s with height . The bounds are due to the use of a Szemerédi-type regularity lemma argument adapted to the arithmetic setting. Recently, Fox, Pham, and Zhao [7, 8, 9] showed that the regularity-type bounds are necessary, namely that grows as an exponential tower of twos of height .
It remains to be explored the quantitative dependencies of on for other popular difference patterns such as 4-APs and 2-dimensional corners.
4.2. Four-point patterns in one and two dimensions
Corollary 1.8 addresses all patterns with affine dimension or at least points. This leaves open the cases of popular differences all 4-point patterns in dimensions 1 and 2 except those resolved positively by Green and Tao [12] (namely 4-APs and other patterns of the form ).
A particular enticing open case is the axis-aligned square: . The 1-dimensional projection of this pattern yields a pattern of the form , and this 1-dimensional pattern has the positivity property used in the 4-AP popular difference proof [12].
4.3. Finite fields versus integers (or other groups)
The claim in Mandache’s Theorem 1.1 that for 2-dimensional corners (and also Corollary 1.3) is currently only proved for with fixed . It seems likely that the methods can be extended to all abelian groups via Bohr sets, similar to [10]. However, this has yet to be worked out.
On the other hand, our counterexample construction Theorem 1.6 for 3-dimensional corners only works over the integers, and not, say . It remains to explore the problem over other groups.
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