Exact values and improved bounds on the clique number of cyclotomic graphs
Abstract.
Let be an odd power of a prime , and such that and . We show that the clique number of the Cayley graph is at most , improving the best-known upper bound for many families of such graphs substantially. Such a new bound is strongest for cyclotomic graphs and in particular, it implies the first nontrivial upper bound on the clique number of all generalized Paley graphs of non-square order, extending the work of Hanson and Pertidis. Moreover, our new bound is asymptotically sharp for an infinite family of generalized Paley graphs, and we further discover the first nontrivial family among them for which the clique number can be exactly determined. We also obtain a new lower bound on the number of directions determined by a large Cartesian product in the affine Galois plane , which is sharp for infinite families.
Key words and phrases:
cyclotomic graph, Paley graph, clique number, direction2020 Mathematics Subject Classification:
11B30, 05C25, 51E151. Introduction
Throughout the paper, we let be an odd prime, a power of , the finite field with elements, and . We always assume that is a divisor of such that .
The goal of this paper is to present new progress toward the estimation of the clique number of cyclotomic graphs, including generalized Paley graphs. We begin by recalling a few basic terminologies. Let be a subset of with , the Cayley graph is the graph with vertex set , such that two vertices are adjacent if and only if their difference is in the connection set . We are mostly interested in the case that is a cyclotomic graph, namely, is a union of cyclotomic classes, that is, is a union of cosets of a multiplicative subgroup of . A clique in is a subset of vertices in such that every two distinct vertices in the clique are adjacent. The clique number of , denoted by , is the size of a maximum clique in . Equivalently, without adopting the graph theory language, the clique number of is the maximum size of a subset of such that . Thus, estimating the clique number of is closely related to the additive structure of , and such a problem is central in arithmetic combinatorics especially when is known to have some multiplicative structure [4].
Cyclotomic graphs are well-studied, especially because they build a bridge among algebraic graph theory, arithmetic combinatorics, number theory, finite geometry, and other subjects (see for example [1, 3, 5, 7, 8, 20]). Among cyclotomic graphs, generalized Paley graphs are of special interest. Let be a positive integer and . The -Paley graph on , denoted , is the Cayley graph , where is the set of -th powers in . It is well-known that ; see for example [19, Theorem 1.1]. This square root upper bound on the clique number is often referred to as the trivial upper bound in the literature. In fact, one of the folklore proofs [21, Lemma 1.2] of such a square root upper bound extends to a larger family of Cayley graphs, which we describe below.
Lemma 1.1 (Trivial upper bound).
Let be a prime power. Let with such that . Then .
Proof.
Let be a maximum clique in . Let , and consider the set . It suffices to show that since . Assume that there exist such that , which implies that . However, note that and , forcing that , that is, and . ∎
This trivial upper bound can be sometimes achieved, for example, if is a square and , then forms a clique in the corresponding Cayley graph. In particular, if is a square and is a divisor of , then [2] (the converse is also true [19]).
Even if is a non-square, this trivial upper bound appears to be the best-known for many families of Cayley graphs. We provide a significant improvement on this bound.
Theorem 1.2.
Let be an odd power of a prime . Let with such that . Then if and if .
Note that our new upper bound highly depends on the multiplicative structure of the connection set . In the case that is a union of cyclotomic classes, it is easy to compute the size of the ratio set . In particular, Theorem 1.2 implies the following important corollary on the clique number of cyclotomic graphs. While a cyclotomic graph is simply the edge-disjoint union of copies of a given generalized Paley graph, in general it is more complicated to estimate its clique number.
Corollary 1.3.
Let , and let be an odd power of an odd prime . Let , be a primitive root of , and be an index set. Consider the cyclotomic graph , where . If , then
In particular, .
Theorem 1.2 is inspired by the recent breakthrough of Hanson and Petridis [8] on the clique number of generalized Paley graphs. They used Stepanov’s method [15] to show that when is a prime. Their method has been extended by Yip to an arbitrary prime power [21, 18] in the following result:
When is a prime, it is easy to verify that the binomial coefficient condition is automatically satisfied. In general, Theorem 1.4 provides an algorithm to give an upper bound on by analyzing the base- representation of . When , which corresponds to Paley graphs, Yip [21] used this idea to proved that when is an odd power of a prime . More generally, when and , Yip [18, Section 5.2] proved that . However, as remarked in [18, Section 5.2], in general, the analysis is fairly complicated and it is not clear if this approach would always achieve a nontrivial upper bound on the clique number. There are other non-trivial upper bounds on in [18], but they are all of the shape . To conclude, in general, the best-known upper bound on is .
Our new results improve the Hanson-Pertidis method and its generalization in the following aspects. Firstly, our results show that the barrier created by the binomial coefficients in Theorem 1.4 can be essentially removed and thus we extend the Hanson-Pertidis bound to all finite fields with non-square order. Note that even if is assumed to be a non-square, the non-vanishing condition on binomial coefficients cannot be completely removed; a family of counterexamples can be found in Theorem 1.5. More importantly, it seems the Hanson-Pertidis method and its generalization apply only to generalized Paley graphs, while our approach produces a similar upper bound on the clique number of cyclotomic graphs or general Cayley graphs. Interestingly, our proof is based on a “toy version” of Stepanov’s method; see Remark 2.2.
Observe that when and is a divisor of , the subfield forms a clique in and thus ; this was first observed by Broere, Döman, and Ridley [2]. It was recently proved that forms a maximal clique in [22], and it is tempting to conjecture that since is the only “obvious” large clique. Indeed, when , Corollary 1.3 implies that , as . This shows that Corollary 1.3 is asymptotically sharp for an infinite family of graphs; this is rather surprising since the Hanson-Petridis bound, despite being the best-known and a highly nontrivial upper bound for , is far from the conjectural bound predicted from the Paley graph conjecture (see for example [19, Section 2.2]). Inspired by this observation, we further discover that the clique number in this setting is in fact exactly .
Theorem 1.5.
Let and be a divisor of . If , then .
We remark that Theorem 1.5 is the first nontrivial instance for which the clique number of an infinite family of generalized Paley graphs can be determined, and it refines several results in [2, 20, 22]. More generally, if admits a clique which is a subfield of and is the largest such subfield, Yip [22] used character sum estimates to show is a maximal clique. It is also tempting to conjecture that , and we confirm that under some extra assumptions as well as construct several interesting infinite families of such graphs in Section 4.
Theorem 1.2 is a consequence of Theorem 1.7, concerning a new lower bound on the number of directions determined by a Cartesian product. Before stating the new bound, we recall a few basic definitions. Let denote the affine Galois plane over the finite field . Let be a subset of points in . We use Cartesian coordinates in so that . The set of directions determined by is
where is the vertical direction. While the connection between the theory of directions and the clique number of generalized Paley graphs was only discovered in recent papers [8, 18], the proof of Lemma 1.1 already indicates such a connection.
When the point set is a Cartesian product, Di Benedetto, Solymosi, and White [5] proved the following upper bound on the size of , improving a result of Rédei [11] and Szőnyi [17] .
Theorem 1.6 ([5]).
Let be sets each of size at least two such that . Then the set of points determines at least directions.
They observed that Theorem 1.6 can be used to recover the Hanson-Petridis bound. We refer to [9, 14] for improvements on Theorem 1.6 for the Cartesian product as well as their applications to problems concerning Diophantine equations. Unfortunately, Theorem 1.6 fails to extend to general finite fields due to the subfield obstruction. Yip [18, Theorem 1.6] extended Theorem 1.6 to general finite fields under extra assumptions. However, such extensions are not strong enough for the applications. Overcoming the subfield obstruction, we establish the following lower bound with a “corrected error term” when the point set is a large Cartesian product.
Theorem 1.7.
Let be sets such that , and . Then the set of points determines at least directions, where is the largest integer such that and is the largest integer such that .
Theorem 1.7 is a generalization of Theorem 1.6. Indeed, when is a prime, we have , and thus Theorem 1.7 recovers Theorem 1.6. Our proof is different from the approach by Di Benedetto, Solymosi, and White [5]; see Remark 2.2. When is a square, and is given by the subfield with size , the direction set determined by is , and our bound gives , which is sharp. More generally, if is a subfield of and is a subspace over with , our bound is also sharp.
When , the best-known lower bound on is roughly of the form , due to Dona [6]. While the lower bound given by Theorem 1.7 could be trivial when is small, we remark that Theorem 1.7 does improve Dona’s bound significantly when is a large Cartesian product. For example, if is a non-square, and , then Theorem 1.7 implies that determines directions. In particular, we have the following corollary.
Corollary 1.8.
Let , where is a non-negative integer. If such that , then
Results similar to Corollary 1.8 have played an important role in recent breakthroughs on sum-product type estimates over (see for example [10, 13]). It would be interesting to see if Corollary 1.8 would imply new sum-product type estimates over .
Notations. We follow standard notations for arithmetic operations among sets. Given two sets and , we write and .
2. Improved lower bound on the size of direction sets
Instead of introducing hyper-derivatives and binomial coefficients as in [18, 21], to prove Theorem 1.7, we consider the following lemma, which characterizes polynomials with derivative identically zero. The lemma is well-known, and we include a simple proof.
Lemma 2.1.
Let be a nonzero polynomial such that its derivative . Then the multiplicity of each root of (in the algebraic closure ) is a multiple of .
Proof.
Without loss of generality, we may assume is a monic polynomial. Let be distinct roots of and factorize as
where is the multiplicity of the root .
Then the derivative of can be computed as follows:
Since , it follows that
In particular, for each , we must have (in ) by setting . Therefore, the multiplicity of each root is a multiple of . ∎
Next, we present the proof of Theorem 1.7 using Rédei polynomial with Szőnyi’s extension, together with a toy version of Stepanov’s method (see Remark 2.2).
Proof of Theorem 1.7.
Let and be subsets of . Let . Note that the direction set determined by only depends on and , so without loss of generality we can assume that . It suffices to prove . For the other bound, it follows from switching the role of and .
The Rédei polynomial [11] of is defined as
Note that if , then for any two distinct points in . Thus, if , then divides . Szőnyi [16, 17] (see also [5, 18]) showed that there exist a polynomial and polynomials with , such that
(1) |
and for each ,
This special polynomial is also known as Szőnyi’s extension polynomial; the structure of is complicated, we refer to [18, Section 2.2] for an explicit formula of .
Let for . Then equation (1) implies that
(2) |
We claim that if for some , then we have [11, 17]. We include a short proof for the sake of completeness. Indeed, if , then , which implies that for at most distinct . However, we know that for each . This shows that , and thus (the extra comes from the infinity direction).
Next we factorize into linear factors over :
where are the distinct roots of , and for each . In particular, we have for each , for each , and . Let be the largest integer such that for all . Then we can write for each , with at least one not divisible by , so that
Observe that the map is an automorphism on since . Set , then we have
(3) |
Note that are still distinct since the map is also an automorphism on . Since not all are multiples of , it follows from Lemma 2.1 that is not identically zero. Thus, in view of the factorization given in equation (3), has degree at least
since for each , the root is a root of with multiplicity at least .
On the other hand, note that equation (2) becomes:
as polynomials over , where for each . Note that is a multiple of and thus
It follows that there is such that and
Therefore, our earlier claim implies that
(4) |
Recall that each is a multiple of . In particular, for each . It follows that
that is, . Putting this estimate into equation (4), we conclude that
Finally, note that , since is the largest integer such that . This completes the proof. ∎
Remark 2.2.
Our proof differs from the original proof of Benedetto, Solymosi, and White [5] on Theorem 1.6 (which corresponds to the case that is a prime). In particular, [5, Lemma 6] plays an important role in their proof. Such a lemma has been extended to all finite fields in [18, Lemma 3.1] by Yip, which did lead to a generalization of their result (see [18, Theorem 1.6]). However, such a generalization only yields a tiny improvement on the trivial upper bound on the clique number of generalized Paley graphs [18, Theorem 1.9].
We replaced this key lemma with “a toy version” of Stepanov’s method, inspired by the applications of Stepanov’s method in [18, 21]. In particular, to apply Stepanov’s method, one needs to find a low-degree polynomial that vanishes on each element of a desired set with high multiplicity, which is guaranteed by the Cartesian product structure of the point set. It is also crucial that the polynomial constructed is not identically zero, which is ensured by the non-vanishing of binomial coefficients described in Theorem 1.4 in [18, 21]. Here we use a different yet simpler criterion, namely, Lemma 2.1, to achieve this purpose more effectively.
3. Applications to clique number of Cayley graphs
Proof of Theorem 1.2.
Let , where is a non-negative integer. Let be a maximum clique in with . We may assume that , otherwise clearly we are done.
Since , by Lemma 1.1, . Consider the point set ; then we have . Note that the direction set determined by is
In particular, we have
Let be the largest integer such that ; then we have . It follows from Theorem 1.7 that
Comparing the above two estimates, we obtain that
that is,
When , we obtain that ; when , we obtain that . ∎
Remark 3.1.
For the clique number of , our new bound in Corollary 1.3 is slightly weaker than the upper bounds in [21] and [18, Theorem 5.10] in the special case for which the base- representation of is simple and Theorem 1.4 is the most effective. However, in the generic case, our new bound improves the best-known upper bound [18, Theorem 6.5] substantially.
4. Generalized Paley graphs with exceptionally large cliques
The next proposition allows us to determine the clique number of families of generalized Paley graphs with exceptionally large cliques. While it is not hard to deduce it from Theorem 1.4, it is rather surprising that Theorem 1.4 could be used to determine the clique number, even for special generalized Paley graphs.
Proposition 4.1.
Let be a proper subfield of . Let be a divisor of such that . Let be the remainder of divided by . If , then .
Proof.
First, it is easy to verify that forms a clique in and thus ; this was first observed in [2]. It suffices to show that . For the sake of contradiction, assume otherwise that . Take so that . Since , there is no carrying between the addition of and in base-. Thus, there is no carrying between the addition of and in base-. It follows from Kummer’s theorem that
Thus, Theorem 1.4 implies that
a contradiction. This completes the proof that . ∎
Proof of Theorem 1.5.
Let . It suffices to check the assumptions in Proposition 4.1. Note that is a divisor of and . Since and , we have and thus . ∎
In the next examples, we construct several infinite families of generalized Paley graphs for which Proposition 4.1 is applicable to determine their clique number.
Example 4.2.
Let , , and , where . Then and thus . Also note that . Thus, Proposition 4.1 implies that .
Example 4.3.
Let be coprime positive integers with . Let and . Since are coprime, we can take . Note that both and are cliques in . We deduce that from Proposition 4.1. Indeed, since , we have . On the other hand, we also have
so that the reminder .
Example 4.4.
Fix the degree of the field extension over . Given Proposition 4.1, it would be interesting to find a graph with edge density as large as possible (in other words, we want to be as small as possible) for which the assumptions in Proposition 4.1 are satisfied, as Proposition 4.1 is “strongest” in that case. To achieve that, one needs to understand the distribution of divisors of , which is, in general, difficult since is a polynomial in , and is a prime power.
We illustrate this goal in the special case and in view of Theorem 1.5. We need to find a divisor of such that and is as small as possible, that is, we want . Assume that is of the form ; the infinitude of such primes is guaranteed by Schinzel’s hypothesis H [12] or Bunyakovsky’s conjecture. Observe that we have the identity
so we can take to be a divisor of such that .
Next, we discuss the necessity of the two assumptions in the statement of Proposition 4.1.
Example 4.5.
Let and . Proposition 4.1 implies that and forms a maximum clique. However, note that since the subfield forms a clique in and the trivial upper bound on the clique number is . Note that while , which shows that the assumption “” is necessary in Proposition 4.1. Interestingly, we have and , while is simply the edge-disjoint union of two copies of .
Example 4.6.
Let , , and . Note that , so is a clique in . Observe that in base-, so . However, note that . This shows that the assumption “” is necessary in Proposition 4.1 since we in fact have since forms a clique in .
Acknowledgement
The author thanks Greg Martin and József Solymosi for helpful discussions.
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