Extremal graphs without exponentially-small bicliques
Abstract.
The Turán problem asks for the largest number of edges in an -vertex graph not containing a fixed forbidden subgraph . We construct a new family of graphs not containing , for , with edges matching the upper bound of Kövári, Sós and Turán.
2020 Mathematics Subject Classification:
05D40, 14N071. Introduction
The Turán problem.
Let be a fixed graph. The Turán problem asks for the value of , the largest number of edges in an -vertex graph not containing a copy of as a subgraph. The classic theorem of Erdős and Stone [12] gives an asymptotic for when is not bipartite.
For bipartite , much less is known. Even the simplest case when is a complete bipartite graph is open. Specifically, Kövári, Sós and Turán [19] proved that
Obviously, we may reverse the roles of and to obtain , which is superior if . So, from now on we discuss only the case . Though the implicit constant in the big-Oh notation has been improved by Füredi [15], the Kövári–Sós–Turán bound remains the only upper bound on . Many researchers conjecture that the Kövári–Sós–Turán bound is tight (e.g., [19, p. 52], [11, p. 6], [14, p. 257], [16, Conjecture 2.24]). However, apart from the numerous results for and (see [16, Section 3] for a survey), there are only two constructions attaining the Kövári–Sós–Turán bound for general . The first is due to Alon, Rónyai and Szabó [2] who, improving on the previous construction by Kollár, Rónyai and Szabó [18], showed that
(1) |
The construction is a clever use of norms over finite fields. The second, more recent class of constructions originating from [4] uses random varieties. It has hitherto provided inferior dependence of on . For example, [4] obtains (1) only for . The advantage of these constructions is their flexibility, see [9, 6, 20, 17, 7, 24] for some of their variations and applications.
In this work, we use a novel version of the random algebraic method to construct graphs that match the Kövári–Sós–Turán bound for that is only exponential in .
Theorem 1.
Let . Then
The Zarankiewicz problem.
Closely related to the Turán problem for -free graphs is the problem of Zarankiewicz [25]. It is the asymmetric version of the Turán problem. It is well-known that in the study of the growth rate of we may assume that the -vertex graph is bipartite. To distinguish the two parts of a bipartite graph, we shall call them the left and right. A copy of in a bipartite graph can be situated in two ways: either the vertices are in the left part, or the vertices are in the right part. In the Zarankiewicz problem, we forbid only the former case. So, we say that is a sided graph if it is bipartite with distinguished left and right parts. The Zarankiewicz problem then asks for the estimate on the number of edges in a sided graph not containing , which is regarded as a sided graph with vertices on the left and vertices on the right.
An important consequence of making the graph bipartite with distinguished parts is that the two parts can (possibly) be of very unequal size. This often occurs in applications (see e.g. [1, 23]). With this in mind, define as the largest number of edges in a sided graph with vertices on the left and vertices on the right that contains no sided . The bound of Kövári, Sós and Turán for the Zarankiewicz problem takes the form
In the symmetric case when , the best known constructions for Zarankiewicz problem are the same as the best bipartite constructions for the Turán problem. This is not so for our approach: we are able to take the advantage of the fact that only one orientation of is forbidden to obtain a lower bound on that is superior to the corresponding bound for in Theorem 1.
Theorem 2.
-
a)
Suppose are integers that satisfy the inequalities and . Then
In particular, for .
-
b)
For each there is a constant such that if the inequality holds, then
Part (b) is an improvement on the result of Conlon [8], who proved the bound under the condition . In the same article, Conlon asked if the bound holds for , which would be tight if true.
Main proof idea, in a nutshell.
The key novelty in our construction is that it is ‘bumpy’. All the previous algebraic constructions, whether random or not, were flat: the vertex of the graph was always an affine or a projective space over , which was occasionally mildly mutilated by having a lower-dimensional subset removed, or stitched to itself via a quotient operation. These are finite field analogues of with a flat metric. In contrast, the vertex set in our construction is a solution set to a family of random polynomial equations, and cannot be flattened with any change of coordinates.
Proof ideas, in more detail.
To explain our construction, we recall the important ingredients in the previous random algebraic constructions of -free graphs. The key is an estimate on the probability that the variety cut out by random polynomials contains many points. This relies on two inputs. The first is Bezout’s theorem, which is used to conclude that if is zero-dimensional, then it contains at most many points. The second input is a bound on the probability that is of codimension less than .
To prove that bound, the original paper [4] uses Hilbert functions (though it did not use probabilistic language). However, almost all the subsequent works use the approach from [5] relying on the Lang–Weil bounds, the only exception being an elegant argument in [8] which can be described as an implicit use of Hilbert functions.
In this paper, we go back to the explicit use of Hilbert functions. We show that the codimension of is extremely likely equal to , unless is close to the dimension of the ambient space. That is precisely the situation in the previous works, where the graph’s vertex set was -dimensional set . To bypass this obstacle we construct the vertex set in two steps: At the start we use affine space of slightly larger dimension. This way the varieties of the form that we obtain have dimension with very high probability. We then shrink the vertex set to a random subvariety of codimension , thereby cutting all the varieties of the form at once.
Our second innovation concerns the need to control in the Bezout’s bound. In the construction of Turán graphs, the random polynomials arise as specializations of a single polynomial in two sets of variables. A simple way to ensure that the random polynomials are mutually independent is to make a random polynomial of degree at least . That makes grow like . To circumvent this, we further replace the -dimensional affine space by a variety that has the property that every specialization of a random polynomial of bounded degree to any points of yields mutually independent polynomials. We call these -independent varieties. The construction of -independent varieties occupies the bulk of the paper (Sections 4 and 5).
Finally, we want to highlight an auxiliary contribution of this work that is of independent interest. The construction of -independent varieties depends on a bound on the number of minimal linear dependencies between ’th powers of linear forms, i.e., where . Here, ‘minimal’ means that no proper subset of the ’th powers of these linear forms is linearly dependent. Representation of polynomials by sums of ’th powers of linear forms has been much studied, motivated primarily by the Waring problem. In particular, we adapt the argument which is implicit in the work of Białynicki-Birula and Schinzel [3] to our purposes. Though the argument in [3] suffices to obtain an exponential bound in Theorem 1, we go beyond and obtain a stronger bound that yields the smaller exponent base of in Theorem 1.
Paper organization.
We begin by collecting the algebraic tools we require in Section 2. The concept of an -independent set, which is central to the proof of Theorem 1, is introduced in Section 3. The -independent varieties used in the proof of Theorem 1 are constructed in Sections 4 and 5. Finally, in Sections 6 and 7 we prove Theorems 1 and 2 respectively.
Acknowledgments.
I am thankful to Chris Cox for extensive feedback on an earlier version of this paper. I am grateful to Jacob Tsimerman for discussions on numerous topics related to this paper, and especially for motivating me to prove Lemma 22 in its current form, and to Anamay Tengse, Mrinal Kumar, Ramprasad Saptharishi for spotting a serious error in the proof of Lemma 22 in the previous version of this paper. Finally, I am grateful to the anonymous referees for a number of constructive comments.
2. Algebraic tools
To make this paper maximally accessible, we tried to keep the use of algebra to the minimum. In particular, we use counting arguments even when similar algebraic arguments could have provided slightly superior numeric constants. Despite this, we require basic familiarity with algebraic geometry on the level of the first chapter of Shafarevich’s book [21]. We collect the other algebraic tools in this section.
Varieties and their -points.
The integer will denote a prime power. We shall work exclusively with fields and . All varieties in this paper are quasi-projective over the field . We write for the projective variety cut out by homogeneous polynomials . We denote the vector space of homogeneous polynomials of degree in variables with coefficients in by . We also work with products of projective spaces . The set of bihomogeneous polynomials of bidegrees on is denoted by .
We write monomials using the multiindex notation: for a multiindex , the notation stands for the monomial . A general homogeneous polynomial of degree is thus written as .
The graphs we shall construct in the proofs of Theorems 1 and 2 will consist of the -points of certain varieties. We denote the -points of a variety by or (if the variety is a complicated expression) by . We shall use the following bounds on the number of -points.
Lemma 3 (Weakening of [10, Corollary 3.3]).
Suppose is any -dimensional variety of degree . Then .
Lemma 4.
-
a)
Let be positive integers, and let be a non-empty set. Suppose that are random homogeneous polynomials of degrees . Then
(2) -
b)
The same holds for bihomogeneous polynomials, i.e., if is a non-empty set and are random bihomogeneous polynomials of bidegrees with , then (2) holds.
Proof.
For a point , let be the indicator random variable of the event . Let be two distinct points. We claim that and that the random variables and are independent. To see this in the case (a), apply a change of coordinates so that and . The polynomial vanishes at if and only if the coefficient of vanishes. Similarly, if and only if the coefficient of vanishes. In the case (b), write and with and . Since we may assume that (by swapping the roles of and if necessary). We can then change the coordinates on in the same way as in the case (a), and observe that the vanishing of at and depends on disjoint sets of coefficients. This proves the claim.
Let . From the pairwise independence of the ’s, it follows that
Since , Chebyshev’s inequality then implies that
and the lemma follows upon taking . ∎
Bézout’s inequality.
For a reducible variety , define the total degree to be the sum of the degrees of the irreducible components of .
Lemma 5 (Bézout’s inequality, [13, p. 228, Example 12.3.1]).
Let and be two varieties in . Then
Hilbert functions.
For a homogeneous ideal , the Hilbert function is defined as the codimension of in . Equivalently, if is the homogeneous ideal of polynomials vanishing on a variety , then is the dimension of the subspace of functions on induced by all homogeneous polynomials of degree .
We shall use the following bound on the Hilbert function.
Lemma 6.
Let be a variety of dimension in . Then its Hilbert function satisfies
Though more general bounds are known (e.g. [22, Theorem 2.4]), we give a proof for completeness.
Proof.
By [21, Theorem 1.15 and Corollary 1.6] there is a linear projection , which is finite and surjective. Then the pullback of a homogeneous polynomial of degree on is a homogeneous polynomial of degree on . The result follows since the space of homogeneous degree- polynomials on is of dimension , and the pullback map has trivial kernel. ∎
We use Hilbert functions to bound the probability that a random polynomial vanishes on a given variety.
Lemma 7.
Let be any variety in . Let be a random homogeneous degree- polynomial. Then the probability that vanishes on is
Proof.
By the definition of the Hilbert function, is the codimension (over ) of in . This implies that the codimension of in is at least . Since , the lemma follows. ∎
3. Definition and uses of -independence
If is small compared to , then the Hilbert function of generic points in is for . As we shall see shortly, the point sets satisfying behave random-like with respect to the degree- polynomials. Since this property will be key to our construction of Turán graphs, we focus on the sets lacking this pleasant property.
Definition 8.
We say that points are -dependent if . We furthermore say that they are minimally -dependent if no proper subset of these points is -dependent.
Definition 9.
A set is called -wise -independent if no distinct points of are -dependent.
Though we define -dependence via Hilbert functions, there are two other ways to think about the concept that will be useful. The first way is to think of a homogeneous degree- polynomial on as a linear form in its coefficients. Specialization of to gives distinct linear forms for distinct . It is easy to see from the definition of -dependence that the points are -dependent if and only if are linearly dependent as linear forms in variables.
The second way to understand -dependence is via projective space duality, which we think of as an identification between points of and linear forms. Namely, to each point we associate the linear form in variables defined by . Because points in the projective space are defined only up to a multiplication by a non-zero scalar, this linear form too is defined up to a multiplication by a non-zero scalar.
Lemma 10.
Let be any points, and let be the linear forms associated to these points. The following are equivalent:
-
a)
points are -dependent,
-
b)
there is a linear relation of the form
(3)
Furthermore, if the characteristic of is at least , then the following condition is also equivalent to the two above:
-
c)
there is a linear relation of the form
(4)
Proof of (a)(b)..
Let be arbitrary, and let be the tally vector, i.e., is the number of elements among that are equal to . Then the coefficient of in is equal to . Therefore, the linear relation in (3) holds if and only if for every satisfying . As discussed in the paragraph following Definitions 8 and 9, the latter condition is equivalent to points being -dependent.
Proof of (b)(c)..
Trivial, by setting .
Proof of (c)(b)..
If points are not -dependent, we say that they are -independent.
The usefulness of these definitions comes from the combination of two simple observations:
Proposition 11.
Suppose that are -independent points. Pick a random polynomial uniformly among all bihomogeneous polynomials of bidegree on . Then the random polynomials are mutually independent.
Proof.
Write as . Since the coefficient of in is , it suffices to show that are independent for every .
Think of as a linear function of the coefficients of . By the alternative definition of -independence discussed above, the linear functions are linearly independent. Since the coefficients of are chosen independently and uniformly from , this implies that the random variables are independent. ∎
Define the function
Recall that a variety is said to be of pure dimension if all of its irreducible components are of dimension .
Proposition 12.
Let be integers, and let be a variety of pure dimension and degree at most .
-
a)
If are independent random homogeneous polynomials of degree in variables with -coefficients, then
where the constant depends only on and .
-
b)
Let and be positive integers satisfying . If are independent random homogeneous polynomials of degrees in variables with -coefficients, then
where the constant depends only on , and on the polynomial degrees .
Proof.
The proof is by induction on . Let be the set of all irreducible components of . Since is cut out by polynomials and is of pure dimension , it follows that for each [21, Corollary 1.14]. So, from Lemmas 6 and 7 we see that, for any fixed ,
Bézout’s inequality tells us that , and hence the probability that vanishes on some component of is at most . By the induction hypothesis, the variety is of dimension exceeding with probability at most , and so the probability that the variety is of dimension exceeding is at most
which is at most for a suitable . ∎
Combining these two observations we obtain the following handy result.
Lemma 13.
Let be integers. Suppose that is a variety of pure dimension , and is an -wise -independent set of size where is sufficiently small. Let be a random bihomogeneous polynomial of bidegree on . Then the following holds with probability at least : For every distinct points the variety
is of dimension .
Proof.
By Proposition 11, polynomials are mutually independent, for every distinct points . By Item 12(a) and the union bound over all , the probability that does not satisfy the lemma is at most . So, choosing small enough works. ∎
4. Construction of -independent varieties
For positive integers , let
Observe that is a variety. Indeed, for a subset , define
The set is a projective variety because of the equivalence of -dependence of points and linear dependence of the linear -th powers of respective linear forms, which we discussed above. From this, it follows that is a difference between two projective varieties, and so itself is a (quasiprojective) variety.
We shall upper bound the functions in the next section. But first we show how to use these bounds to construct -independent varieties.
Lemma 14.
Suppose that are integers satisfying
(5) |
Let be generic degree- homogeneous polynomials in variables. Then the variety is -wise -independent.
As we shall show in Item 22(a), for . Hence, the condition (5) is non-vacuous only for .
Proof of Lemma 14.
It suffices to show that contains no set of minimally -dependent points for every . Fix in this range.
Note that whenever points are minimally -dependent, their Hilbert function satisfies . Indeed, the inequality follows from the definition of -dependence, and follows from minimality. This means that the vector space is of codimension in , and hence is of codimension in .
Since , we can use the algebraic version of the union bound to deduce that for generic degree- homogeneous polynomials , the variety does not contain any minimally -dependent set . Indeed, write and regard it as a variety with polynomials’ coefficients as indeterminants. Define the variety
Consider the projection of onto . Our claim is that the fiber of a generic is empty. If this is not so, then . However, for the projection of onto the factor, every fiber is of codimension , and so , which is a contradiction, proving our claim. ∎
Lemma 15.
Suppose that are integers satisfying the condition (5) and , and assume that is sufficiently large in terms of . Then there exist degree- polynomials such that the variety is -wise -independent, is of pure dimension , and contains at least many -points.
Proof.
We shall choose each uniformly at random from . Let
The set is a variety, for we can think of it as the image of the projection of the bigger variety | ||||
onto the first factor.
Furthermore, recall that is defined by the linear dependence of the -th powers of the linear forms associated to the points . Since the number of linear forms and the numbers of variables therein do not depend on , using Bézout’s inequality we may obtain an upper bound on the degree (and hence on the degree of ) that is independent of (but depends on and ).
By Lemma 14, is of codimension at least in . By Lemma 3, a random element is in with probability . Since is independent of , this probability is .
Similarly, since is of codimension for generic polynomials , it follows that is of smaller codimension with probability for random polynomials . Furthermore, since is defined by polynomials, no component of it can have codimension more than (see [21, Corollary 1.14]), and so is of pure dimension .
Let . Applying Item 4(a) we see that
Since , this is also , and so random polynomials satisfy the conclusion of the lemma with probability . ∎
5. Upper bound on
For the purpose of proving an exponential bound in Theorem 1, we need only a bound of the form that is valid for small . We go a step further: it can be shown that points are -dependent if and only if they are collinear, and so . The bound on that we prove is sufficiently strong that the maximum of the quantity in our application is achieved at , and so further improvements in the bound would not lead to a smaller base of exponent in Theorem 1.
Definition 16.
We say that points are strongly -dependent if they span and the associated linear forms satisfy a relation of the form
(6) |
in which all the coefficients are non-zero.
Note that Lemma 10 implies that every minimal -dependent set is strongly -dependent inside whichever space it spans. The key to our upper bound on is a lower bound on the number of points in any strongly -dependent set. We begin by proving a relatively weak such bound, adapting the argument which is implicit in the work of Białynicki-Birula and Schinzel [3]. We then bootstrap this weak bound to a stronger bound in Lemma 20.
Lemma 17.
For , every strongly -dependent set in has at least many points.
Proof.
Let be strongly -dependent points in . By renumbering the points if necessary, we may assume that the points span . If , then the remaining points do not span because there are only of them. Hence, there is an such that for . Plugging in for each of , in (6) and writing simply for we obtain a relation of the form
where . Since span , not all the coefficients vanish. Because the points are linearly independent, the linear forms are linearly independent, and so we reach a contradiction with the previously-made assumption that . ∎
To prove the stronger bound, we need to establish a couple of auxiliary results.
Lemma 18.
Let be an -vertex graph with at most edges. Then contains an independent set of size .
Proof.
According to Turán’s theorem applied to the complement of , the independence number of is minimized when is a union of cliques whose sizes differ by at most . So, assume that is of this form. This implies that the largest clique in is of size at most , for otherwise would have had more than edges. Hence, is a union of at least disjoint cliques, and so has an independent set of size . ∎
Lemma 19.
Suppose that is a finite-dimensional vector space (over any field), and are each a basis for , and that no vector in is a multiple of any vector in , and vice versa. Then there exists a subset of size such that .
Proof.
Given a vector , express it in the basis as , and define the set . Equivalently, the set is the support of , when expressed in the basis .
Let . Since no vector of is a multiple of any vector in , it follows that , and so we may view as a (potentially non-uniform) hypergraph all whose edges have at least two elements. Since if and only if , our task is to find an independent in of size .
Replace each edge in by an arbitrary two-element subset thereof, obtaining a graph . An independent set in is also an independent set in . Since has vertices and at most distinct edges, an appeal to Lemma 18 completes the proof. ∎
With this in place, we are ready to prove the stronger bound on .
Lemma 20.
For , every strongly -dependent set in has at least many points.
Proof.
The proof is by induction on . The base case is contained in Lemma 17. So, assume that .
Let be strongly -dependent. Let be any set of points that span . We break into two cases.
Suppose that the set does not span . In this case we proceed similarly to the proof of Lemma 17. Namely, we choose an such that for all . Plugging in for each of in (6) and writing for , we obtain a non-trivial linear relation between the linear forms with , contradicting the fact that spans .
Suppose that spans . Let be any points of that span . Thinking of as points in a vector space of dimension , from Lemma 19 it follows that there is of size such that . Since the field is infinite, there is an such that for all . Setting in (6) hence yields a relation
where . Since the set contains , this relation shows that is a strongly -dependent set. Since , we are done by induction. ∎
Define
Lemma 21.
Suppose that . Then .
Proof.
For notational brevity, let denote the vector space of all non-zero linear forms in variables. Let and define
Since each point in corresponds to a -dimensional family of linear forms (differing up to a multiplication by a non-zero scalar), a collection of points corresponds to a -dimensional family of linear forms. Using the characterization of -dependence in Lemma 10 this implies that . Since we also have , it follows that . We shall upper bound by bounding the dimension of the tangent space at every point of .
Let . Since span , by renumbering the forms, we may assume that the forms span . Furthermore, by applying a linear change of coordinates, we may also assume that for each . Then is in the tangent space to at the point if and only if
(7) |
Think of this condition as a system of linear equations. Each of the unknowns can be thought of as a vector of many scalar unknowns. There is one linear equation for each monomial in the -variables appearing in (7). For , all the monomials appearing as coefficients of are a product of variables of the form , and a single other variable. Since , this means the monomials appearing as coefficients of , for , are disjoint. This means that the system of equations is of rank at least , i.e., the tangent space to at is of codimension at least . Therefore,
Lemma 22.
Suppose that are integers. Then
-
a)
if , and
-
b)
if .
Proof.
From Lagrange interpolation it follows that no set of or fewer points is -dependent. Hence if .
Let . By Lemma 20, every minimal -dependent set of size spans a subspace of projective dimension at most . Let be the Grassmanian of linear subspaces of dimension in . We then have
Without the restriction on , the maximum of the quadratic is achieved when . Since , the value is larger than , and so | ||||
6. Construction for the Turán problem
Lemma 23.
Let be integers. Set . Suppose that satisfy the inequalities , as well as the condition (5) for all fields of sufficiently large characteristic. Then, for every sufficiently large there is a graph with vertices and edges that is -free for every .
Proof.
Using Bertrand’s postulate, pick a prime such that . Since is sufficiently large, we may assume that the condition (5) is satisfied for .
Let be polynomials as in Lemma 15. Let for . Let and be two independent collections of random homogeneous polynomials on with -coefficients of degrees . Let be a random bihomogeneous -polynomial on of bidegree .
Define
Let be the constant from Lemma 13 applied with , and let be the constant from Item 12(b). Put . Let be a set of size chosen canonically from (for example, it could be the initial segment of in some fixed ordering of ). Let be a similarly defined subset of of size .
Define the bipartite graph with parts and by connecting the pair whenever .
has vertices and edges.
By Item 4(a), both and have at least elements with probability . Since , this means that
(8) |
is -free.
Because of the symmetry between the two parts of , it suffices to show that is very unlikely to contain with the part of size embedded into . Since and is -independent, the set is -independent. Let . Since , Lemma 13 applies, telling us that with probability every variety of the form
for distinct , is of dimension . Let be the set of all varieties of the form for distinct . The set is random: it depends on the random choice of polynomials (because depends on these polynomials), and it depends on the polynomial . Crucially, does not depend on the polynomials .
So, we may apply Item 12(b) to each variety in and polynomials . Note that by Bézout’s inequality. Therefore, combined with the union bound, the proposition tells us that
Because the constant satisfies , this probability is at most . Note that the variety contains all common neighbors of the vertices in the graph . By Bézout’s inequality, the degree of this variety is at most , and hence
By symmetry, we may derive the same bound with the roles of and reversed, and so
(10) |
Putting (8), (9) and (10) together, it follows that graph has vertices, at least edges, and contains no with probability at least . In particular, such a graph exists. ∎
Lemma 24.
For every and every , we have .
Proof.
Since , the function satisfies The lemma then follows from the inequality . ∎
Proof of Theorem 1.
We may assume that , for otherwise the theorem follows from the result of Alon, Rónyai and Szabó [2] that we mentioned in the introduction. Let , , and .
Observe that
Hence, for , Item 22(b) implies that
Similarly, for we have | ||||
This shows that the condition (5) holds for . It also holds for by Item 22(a).
7. Construction for the Zarankiewicz problem
This is similar, but simpler than the construction for the Turán problem from the preceding section because we do not need Lemmas 15 and 22.
Lemma 25.
Let be integers satisfying . Then, for every sufficiently large there is a sided graph with vertices on the left, vertices on the right, and edges that contains no sided for every .
Proof.
Let be the power of satisfying . Let .
Set for . Let be the constant from Lemma 13, and let be the constant from Item 12(b). Put . Pick and an -wise -independent set in of size arbitrarily. For example, we may choose and let consist of the standard basis vectors.
We next pick several random polynomials with coefficients in : Let be a random bihomogeneous polynomial on of bidegree , and let be random independently-chosen homogeneous polynomials on of degrees . Let
Define the sided graph with the left part and the right part by connecting whenever .
Invoking Lemma 13 with we see that, with probability , every variety of the form
for distinct , has dimension . By Bézout’s inequality, , and so the union bound and Item 12(b) together imply that
(11) |
where we used that , similarly to the corresponding step in the proof of Lemma 23.
Also, from Item 12(b) applied to we obtain the inequality . In view of Lemma 3, this implies that
(12) |
Finally, by applying Items 4(a) and 4(b), it follows that
(13) |
Proof of Item 2(a).
Proof of Item 2(b).
Let be an integer to be chosen shortly. Let , and Note that there are constants and such that
and choose to be the smallest integer so that .
Applying Lemma 25 with in place of , we obtain a sided graph whose left part is of size and the right part is of size , matching the Kövári, Sós, Turán bound for -free graphs for . Since
this completes the proof. ∎
References
- [1] Noga Alon, Keith E. Mellinger, Dhruv Mubayi, and Jacques Verstraëte. The de Bruijn–Erdős theorem for hypergraphs. Des. Codes Cryptogr., 65(3):233–245, 2012. arXiv:1007.4150.
- [2] Noga Alon, Lajos Rónyai, and Tibor Szabó. Norm-graphs: variations and applications. J. Combin. Theory Ser. B, 76(2):280–290, 1999.
- [3] A. Białynicki-Birula and A. Schinzel. Representations of multivariate polynomials by sums of univariate polynomials in linear forms. Colloq. Math., 112(2):201–233, 2008.
- [4] Pavle V. M. Blagojević, Boris Bukh, and Roman Karasev. Turán numbers for -free graphs: topological obstructions and algebraic constructions. Israel J. Math., 197(1):199–214, 2013. arXiv:1207.0705.
- [5] Boris Bukh. Random algebraic construction of extremal graphs. Bull. Lond. Math. Soc., 47(6):939–945, 2015. arXiv:1409.3856.
- [6] Boris Bukh and David Conlon. Rational exponents in extremal graph theory. J. Eur. Math. Soc. (JEMS), 20(7):1747–1757, 2018. arXiv:1506.06406.
- [7] Boris Bukh and Michael Tait. Turán numbers of theta graphs. Combin. Probab. Comput., 29(4):495–507, 2020. arXiv:1804.10014.
- [8] David Conlon. Some remarks on the Zarankiewicz problem. arXiv:2007.12816.
- [9] David Conlon. Graphs with few paths of prescribed length between any two vertices. Bull. Lond. Math. Soc., 51(6):1015–1021, 2019.
- [10] Alain Couvreur. An upper bound on the number of rational points of arbitrary projective varieties over finite fields. Proc. Amer. Math. Soc., 144(9):3671–3685, 2016. arXiv:1409.7544.
- [11] P. Erdős. Some recent progress on extremal problems in graph theory. In Proceedings of the Sixth Southeastern Conference on Combinatorics, Graph Theory and Computing (Florida Atlantic Univ., Boca Raton, Fla., 1975), pages 3–14. Congressus Numerantium, No. XIV, 1975.
- [12] P. Erdös and A. H. Stone. On the structure of linear graphs. Bull. Amer. Math. Soc., 52:1087–1091, 1946.
- [13] William Fulton. Intersection theory, volume 2 of Ergebnisse der Mathematik und ihrer Grenzgebiete. 3. Folge. A Series of Modern Surveys in Mathematics [Results in Mathematics and Related Areas. 3rd Series. A Series of Modern Surveys in Mathematics]. Springer-Verlag, Berlin, second edition, 1998.
- [14] Zoltán Füredi. Turán type problems. In Surveys in combinatorics, 1991 (Guildford, 1991), volume 166 of London Math. Soc. Lecture Note Ser., pages 253–300. Cambridge Univ. Press, Cambridge, 1991.
- [15] Zoltán Füredi. An upper bound on Zarankiewicz’ problem. Combin. Probab. Comput., 5(1):29–33, 1996.
- [16] Zoltán Füredi and Miklós Simonovits. The history of degenerate (bipartite) extremal graph problems. In Erdös centennial, volume 25 of Bolyai Soc. Math. Stud., pages 169–264. János Bolyai Math. Soc., Budapest, 2013. arXiv:1306.5167.
- [17] Zhiyang He and Michael Tait. Hypergraphs with few Berge paths of fixed length between vertices. SIAM J. Discrete Math., 33(3):1472–1481, 2019.
- [18] János Kollár, Lajos Rónyai, and Tibor Szabó. Norm-graphs and bipartite Turán numbers. Combinatorica, 16(3):399–406, 1996.
- [19] T. Kövari, V. T. Sós, and P. Turán. On a problem of K. Zarankiewicz. Colloq. Math., 3:50–57, 1954.
- [20] Jie Ma, Xiaofan Yuan, and Mingwei Zhang. Some extremal results on complete degenerate hypergraphs. J. Combin. Theory Ser. A, 154:598–609, 2018.
- [21] Igor R. Shafarevich. Basic algebraic geometry. 1. Springer-Verlag, Berlin, second edition, 1994. Varieties in projective space, Translated from the 1988 Russian edition and with notes by Miles Reid.
- [22] Martín Sombra. Bounds for the Hilbert function of polynomial ideals and for the degrees in the Nullstellensatz. J. Pure Appl. Algebra, 117/118:565–599, 1997. arXiv:alg-geom/9610006.
- [23] Miguel N. Walsh. The polynomial method over varieties. Invent. Math., 222(2):469–512, 2020. arXiv:1811.07865.
- [24] Zixiang Xu, Tao Zhang, and Gennian Ge. Some tight lower bounds for Turán problems via constructions of multi-hypergraphs. European J. Combin., 89:103161, 11, 2020. arXiv:1907.11909.
- [25] Kazimierz Zarankiewicz. Problem 101. Colloq. Math., 2:301, 1951.