Use uniform expectations on the nonempty sets . Define the rectangle fourth moment and the normalized cut norm by
The first quantity is nonnegative, since
its fourth root is the box norm. To bound the cut norm, fix and put . The Cauchy-Schwarz inequality in gives
A second Cauchy-Schwarz inequality, now in , yields
because the squared mean of is at most one. Taking the maximum over rectangles gives the first direction of cut norm and rectangle fourth-moment equivalence:
The normalization divides the rectangle sum by and the fourth-moment sum by , so the bound is independent of the two set sizes.
For the reverse direction, rectangular discrepancy also controls pairings with arbitrary bounded real test functions. If and , decompose each into its positive and negative parts. For example, the layer cake representation gives
Each of the four sign combinations in is thus an integral of rectangular indicator functions. The triangle inequality and the definition of the cut norm show that
Now fix and take , . The hypothesis makes these admissible tests. Multiplying their pairing by and averaging gives
Consequently
Together with part (a), this proves cut norm and rectangle fourth-moment equivalence. The intended equivalence is quantitative smallness: along any family of bounded functions, the normalized rectangle fourth moments tend to zero if and only if the normalized cut norms tend to zero. It does not assert equality of the two constants or norms.
For the unheaded existence request, use the probabilistic method. Choose every value independently and uniformly from . For a rectangle with and , its four entries are distinct, so independence and the zero mean of each sign give expectation zero for their product. If or , the product is identically one. The number of ordered rectangles in this union of diagonal cases is
Therefore the random sign rectangle fourth moment has expectation
Some sign function has at most this expectation. Applying the bound in part (a) to that same function gives the simultaneous choices
Both constants tend to zero whenever both dimensions tend to infinity, without any assumption on their relative rates of growth.
We prove a weighted version of the Szemerédi regularity lemma, which is sufficient for the grid application. For disjoint nonempty vertex sets in a graph, write for their edge density of a bipartite graph. Call the pair -regular if every , with and satisfies .
The weighted Szemerédi regularity lemma states that, for every , there are integers such that every graph on vertices has a set partition into at most nonempty cells , each of size at most , for which
The sum is ordered. The cells need not have equal sizes; their weights replace the usual unweighted count of bad pairs.
To prove it, start with nearly equal cells, taking . Each has size at most . Define the regularity energy
Here even diagonal rectangles use the mean adjacency indicator, counting ordered pairs of vertices. Thus . Under a refinement, the old rectangle density is the weighted mean of the new ones, and the refinement variance identity for regularity energy gives
In particular refinement cannot decrease energy.
If the irregular-pair weight exceeds , choose witness subsets , for every irregular unordered pair, and split each cell simultaneously by all its witnesses. There are at most such subsets in any one cell, so the new number of cells is at most . In an irregular rectangle, its witness has relative area at least and density discrepancy greater than . Since the witness rectangle is now a union of refined rectangles, the Cauchy-Schwarz inequality applied to their weighted density discrepancies bounds the variance contribution from below by
Summing over both orientations of all irregular pairs raises by more than . Since , after at most rounds the required weight bound must hold. The finite recurrence , starting at , supplies ; all cells remain small because we only refine. This proves the stated weighted Szemerédi regularity lemma.
We next derive the triangle removal lemma from this version. First, three disjoint classes whose pairs are -regular pairs of density at least have many triangles if and . Fewer than vertices of have fewer than neighbours in : otherwise that set of vertices, paired with all of , would violate regularity. The same holds for . For each of the at least remaining vertices, both neighbour sets have relative size at least . Regularity of then supplies at least times the product of those two neighbour-set sizes edges. Thus the regular triangle counting lemma, also for unequal class sizes, gives
For a desired deletion tolerance , take , , and a weighted regularity partition with at most cells. Put . Delete edges inside cells, between irregular pairs, between regular pairs of density less than , and incident to cells smaller than . The first two deletions each cost at most . The sparse-pair deletion costs at most . For the last deletion, small-cell deletion in weighted regularity removes at most vertices and at most incident edges. The total is bounded by
A triangle surviving these deletions would lie in three distinct cells, all of size at least , with all their pairs regular and of density at least . The original graph would then have at least triangles. Therefore, with
a graph on sufficiently many vertices with at most triangles can be made triangle-free by deleting fewer than edges. This establishes the triangle removal lemma with every parameter depending only on .
Now apply a tripartite graph encoding of a grid. Take separate vertex classes , , . For each grid point in the given set, put in the three edges
where their endpoints belong respectively to , , and . Each point supplies a triangle. These triangles are edge-disjoint triangles, since any one of the three edge types uniquely determines the point that supplied it.
Conversely, any triangle with vertices , , forces the three points
to belong to . Put . For these form a corner in an integer grid; for they all arise from the same grid point. Thus if there is no corner, the graph has exactly triangles, yet destroying all triangles requires at least edge deletions.
We may suppose , since larger densities make the request vacuous. Use the triangle removal lemma with . Our graph has vertices, so, for sufficiently large , its bound on the number of triangles is at most . The lemma would delete fewer than
edges to destroy all triangles. This contradicts the lower bound from the edge-disjoint family. Hence every sufficiently large positive-density square grid contains a nondegenerate corner, proving the requested corners theorem and in particular the existence of a suitable .
There is a normalization omission in the printed conclusion: the discrepancy of a count of pairs must be bounded by a small function of the energy excess times . We prove this normalized result, then give a counterexample to the literal bound without . Write for the energy excess parameter to avoid confusing it with an element of the third set.
For Fourier analysis on a finite abelian group, use and
Character orthogonality, for and zero otherwise, gives Fourier inversion and the Parseval identity on a finite group:
Put , , . Expanding the constraint by the same character orthogonality gives the additive energy identity
Thus , and every nonconstant Fourier coefficient on a finite abelian group of has modulus at most . Expanding the constraint in the triple count gives
The Cauchy-Schwarz inequality yields
The first squared norm is by the Parseval identity on a finite group. For the second, multiplication by on has kernel size and every element of its image has exactly preimages. Hence
This proves that additive energy controls three-term progression mixing, including for even moduli:
Thus the intended density-error function can be , which tends to zero. For odd moduli the factor can be replaced by one.
To see why the literal unnormalized conclusion is false, take and let all three sets be the subgroup of multiples of . Their densities are . Every choice of three entries of that subgroup determines the fourth entry of an additive quadruple, so its energy is . The excess parameter is
Every pair in the subgroup determines there, giving , whereas . Their difference is , which cannot be bounded by any function of tending to zero. The missing is therefore a genuine source defect, not an alternative Fourier transform normalization.
The positive-power length assertion is an asymptotic one: it requires sufficiently large in terms of the density. Read literally for every , it fails when , and , whose triple sumset is a singleton. We prove the intended result with this necessary qualification and an explicit positive exponent.
Embed the interval into the cyclic group with , and set , . Since all integer triple sums lie in , this embedding introduces no collisions between distinct sums. Use normalized Fourier coefficients on a finite abelian group and normalized convolution on a finite group, and put
The function is nonnegative and has mean , so some satisfies . We show that a whole translated Bohr set is contained in its positive support, hence in the triple sumset.
Put , , and define the large spectrum
The Parseval identity on a finite group gives , so
Also , and therefore . Using Fourier inversion and the convolution theorem on a finite group, for we obtain
Consequently . This proves the translated Bohr neighborhood in a triple sumset:
It remains to produce a long ordinary integer arithmetic progression in this translate; we supply the simultaneous approximation and the lifting argument. Set
Thus . Partition the -dimensional unit cube into boxes of side . The points
contain two in the same box by the pigeonhole principle. Their index difference gives an integer with and
In particular . The identity on the unit circle now shows that
All residues therefore lie in the triple sumset. Let be their actual integer representatives. Their successive differences are congruent to modulo , and each lies in , which is contained in . There is at most one integer in this interval in any specified residue class, so every difference is the same integer. It is nonzero because . Thus the form an ordinary integer arithmetic progression of distinct elements, even though is composite. Reversing it if necessary makes the common difference positive.
For sufficiently large , we have and , whence
Absorb this fixed prefactor by decreasing the exponent: with
the last lower bound is at least once is sufficiently large in terms of . This proves a polynomial-length progression in by the polynomial-length progression in a dense triple sumset argument, without replacing the triple sumset by a fourfold difference set.

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