The Zarankiewicz problem, an unsolved problem in mathematics, asks for the largest possible number of edges in a bipartite graph that has a given number of vertices and has no complete bipartite subgraphs of a given size. It belongs to the field of extremal graph theory, a branch of combinatorics, and is named after the Polish mathematician Kazimierz Zarankiewicz, who proposed several special cases of the problem in 1951.
Problem statement
A bipartite graph consists of two disjoint sets of vertices and , and a set of edges each of which connects a vertex in to a vertex in . No two edges can both connect the same pair of vertices. A complete bipartite graph is a bipartite graph in which every pair of a vertex from and a vertex from is connected to each other. A complete bipartite graph in which has vertices and has vertices is denoted . If is a bipartite graph, and there exists a set of vertices of and vertices of that are all connected to each other, then these vertices induce a subgraph of the form . (In this formulation, the ordering of and is significant: the set of vertices must be from and the set of vertices must be from , not vice versa.)
The Zarankiewicz function denotes the maximum possible number of edges in a bipartite graph for which and , but which does not contain a subgraph of the form . As a shorthand for an important special case, is the same as . The Zarankiewicz problem asks for a formula for the Zarankiewicz function, or (failing that) for tight asymptotic bounds on the growth rate of assuming that is a fixed constant, in the limit as goes to infinity.
For this problem is the same as determining cages with girth six. The Zarankiewicz problem, cages and finite geometry are strongly interrelated.
The same problem can also be formulated in terms of digital geometry. The possible edges of a bipartite graph can be visualized as the points of a rectangle in the integer lattice, and a complete subgraph is a set of rows and columns in this rectangle in which all points are present. Thus, denotes the maximum number of points that can be placed within an grid in such a way that no subset of rows and columns forms a complete grid. An alternative and equivalent definition is that is the smallest integer such that every (0,1)-matrix of size with ones must have a set of rows and columns such that the corresponding submatrix is made up only of 1s.
Examples
The number asks for the maximum number of edges in a bipartite graph with vertices on each side that has no 4-cycle (its girth is six or more). Thus, (achieved by a three-edge path), and (a hexagon).
In his original formulation of the problem, Zarankiewicz asked for the values of for . The answers were supplied soon afterwards by Wacław Sierpiński: , , and . The case of is relatively simple: a 13-edge bipartite graph with four vertices on each side of the bipartition, and no subgraph, may be obtained by adding one of the long diagonals to the graph of a cube. In the other direction, if a bipartite graph with 14 edges has four vertices on each side, then two vertices on each side must have degree four. Removing these four vertices and their 12 incident edges leaves a nonempty set of edges, any of which together with the four removed vertices forms a subgraph.
Upper bounds
The Kővári–Sós–Turán theorem provides an upper bound on the solution to the Zarankiewicz problem. It was established by Tamás Kővári, Vera T. Sós and Pál Turán shortly after the problem had been posed:
Kővári, Sós, and Turán originally proved this inequality for . Shortly afterwards, Hyltén-Cavallius observed that essentially the same argument can be used to prove the above inequality. An improvement on the second term of the upper bound on was given by Štefan Znám:
If and are assumed to be constant, then asymptotically, using the big O notation, these formulae can be expressed as
- ;
- .
In the particular case , assuming without loss of generality that , we have the asymptotic upper bound
Lower bounds
One can verify that among the two asymptotic upper bounds of in the previous section, the first bound is better when , and the second bound becomes better when . Therefore, if one can show a lower bound for that matches the upper bound up to a constant, then by a simple sampling argument (on either an bipartite graph or an bipartite graph that achieves the maximum edge number), we can show that for all , one of the above two upper bounds is tight up to a constant. This leads to the following question: is it the case that for any fixed and , we have
- ?
In the special case , up to constant factors, has the same order as , the maximum number of edges in an -vertex (not necessarily bipartite) graph that has no as a subgraph. In one direction, a bipartite graph with vertices on each side and edges must have a subgraph with vertices and at least edges; this can be seen from choosing vertices uniformly at random from each side, and taking the expectation. In the other direction, we can transform a graph with vertices and no copy of into a bipartite graph with vertices on each side of its bipartition, twice as many edges and still no copy of , by taking its bipartite double cover. Same as above, with the convention that , it has been conjectured that
for all constant values of .
For some specific values of (e.g., for sufficiently larger than , or for ), the above statements have been proved using various algebraic and random algebraic constructions. At the same time, the answer to the general question is still unknown to us.
Incidence graphs in finite geometry
For , a bipartite graph with vertices on each side, edges, and no may be obtained as the Levi graph, or point-line incidence graph, of a projective plane of order , a system of points and lines in which each two points determine a unique line, and each two lines intersect at a unique point. We construct a bipartite graph associated to this projective plane that has one vertex part as its points, the other vertex part as its lines, such that a point and a line is connected if and only if they are incident in the projective plane. This leads to a -free graph with vertices and edges. Since this lower bound matches the upper bound given by I. Reiman, we have the asymptotic
For , bipartite graphs with vertices on each side, edges, and no may again be constructed from finite geometry, by letting the vertices represent points and spheres (of a carefully chosen fixed radius) in a three-dimensional finite affine space, and letting the edges represent point-sphere incidences.
More generally, consider and any . Let be the -element finite field, and be an element of multiplicative order , in the sense that form a -element subgroup of the multiplicative group . We say that two nonzero elements are equivalent if we have and for some . Consider a graph on the set of all equivalence classes , such that and are connected if and only if . One can verify that is well-defined and free of , and every vertex in has degree or . Hence we have the upper bound
Norm graphs and projective norm graphs
For sufficiently larger than , the above conjecture was verified by Kollár, Rónyai, and Szabó and Alon, Rónyai, and Szabó using the construction of norm graphs and projective norm graphs over finite fields.
For , consider the norm graph NormGraphp,s with vertex set , such that every two vertices are connected if and only if , where is the norm map
It is not hard to verify that the graph has vertices and at least edges. To see that this graph is -free, observe that any common neighbor of vertices must satisfy
for all , which a system of equations that has at most solutions.
The same result can be proved for all using the projective norm graph, a construction slightly stronger than the above. The projective norm graph ProjNormGraphp,s is the graph on vertex set , such that two vertices are adjacent if and only if , where is the norm map defined by . By a similar argument to the above, one can verify that it is a -free graph with edges.
The above norm graph approach also gives tight lower bounds on for certain choices of . In particular, for , , and , we have
In the case , consider the bipartite graph with bipartition , such that and . For and , let in if and only if , where is the norm map defined above. To see that is -free, consider tuples . Observe that if the tuples have a common neighbor, then the must be distinct. Using the same upper bound on he number of solutions to the system of equations, we know that these tuples have at most common neighbors.
Clique partitions
Using a related result on clique partition numbers, Alon, Mellinger, Mubayi and Verstraëte proved a tight lower bound on for arbitrary : if , then we have
- .
For , we say that a collection of subsets is a clique partition of if form a partition of . Observe that for any , if there exists some of size and , such that there is a partition of into cliques of size , then we have . Indeed, supposing is a partition of into cliques of size , we can let be the bipartite graph with and , such that in if and only if . Since the form a clique partition, cannot contain a copy of .
It remains to show that such a clique partition exists for any . To show this, let be the finite field of size and . For every polynomial of degree at most over , define . Let be the collection of all , so that and every has size . Clearly no two members of can share members. Since the only -sets in that do not belong to are those that have at least two points sharing the same first coordinate, we know that almost all -subsets of are contained in some .
Randomized algebraic constructions
Alternative proofs of for sufficiently larger than were also given by Blagojević, Bukh and Karasev and by Bukh using the method of random algebraic constructions. The basic idea is to take a random polynomial and consider the graph between two copies of whose edges are all those pairs such that .
To start with, let be a prime power and . Let
be a random polynomial with degree at most in , degree at most in , and furthermore satisfying for all . Let be the associated random graph on vertex set , such that two vertices and are adjacent if and only if .
To prove the asymptotic lower bound, it suffices to show that the expected number of edges in is . For every -subset , we let denote the vertex subset of that "vanishes on ":
- .
Using the Lang-Weil bound for polynomials in , we can deduce that one always has or for some large constant , which implies
- .
Since is chosen randomly over , it is not hard to show that the right-hand side probability is small, so the expected number of -subsets with also turned out to be small. If we remove a vertex from every such , then the resulting graph is free, and the expected number of remaining edges is still large. This finishes the proof that for all sufficiently large with respect to . More recently, there have been a number of results verifying the conjecture for different values of , using similar ideas but with more tools from algebraic geometry.
Applications
The Kővári–Sós–Turán theorem has been used in discrete geometry to bound the number of incidences between geometric objects of various types. As a simple example, a set of points and lines in the Euclidean plane necessarily has no , so by the Kővári–Sós–Turán it has point-line incidences. This bound is tight when is much larger than , but not when and are nearly equal, in which case the Szemerédi–Trotter theorem provides a tighter bound. However, the Szemerédi–Trotter theorem may be proven by dividing the points and lines into subsets for which the Kővári–Sós–Turán bound is tight.
See also
- Biclique-free graph, sparse graphs whose sparsity is controlled by the solution to the Zarankiewicz problem
- Forbidden subgraph problem, a non-bipartite generalization of the Zarankiewicz problem
- Forbidden graph characterization, families of graphs defined by forbidden subgraphs of various types
- Turán's theorem, a bound on the number of edges of a graph with a forbidden complete subgraph
References
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