Van Lint–MacWilliams’ conjecture and maximum cliques in Cayley graphs over finite fields
Abstract.
A well-known conjecture due to van Lint and MacWilliams states that if is a subset of such that , , and is a square for each , then must be the subfield . This conjecture is often phrased in terms of the maximum cliques in Paley graphs. It was first proved by Blokhuis and later extended by Sziklai to generalized Paley graphs. In this paper, we give a new proof of the conjecture and its variants, and show how this Erdős-Ko-Rado property of Paley graphs extends to a larger family of Cayley graphs, which we call Peisert-type graphs. These results resolve the conjectures by Mullin and Yip.
Key words and phrases:
Cayley graph, Paley graph, Peisert graph, maximum clique, Erdős-Ko-Rado theorem2020 Mathematics Subject Classification:
Primary 05C25, 11T30; Secondary 05C69, 11T24, 51E151. Introduction
Throughout the paper, denotes an odd prime, denotes a positive power of , and denotes the finite field with elements. For a finite field , we denote .
In 1978, van Lint and MacWilliams [vLM78] studied the vectors of minimum weight in certain generalized quadratic residue codes, and they proposed the following conjecture: if is a subset of such that , , and is a square for each , then is the subfield . Although this conjecture is purely a statement about the structure of the subfield, it is often phrased in terms of the maximum cliques in Paley graphs of square order, and sometimes in terms of the analog of Erdős-Ko-Rado theorem for Paley graphs [GM]*Chapter 5. The conjecture was first completely proved by Blokhuis [Blo84]; see Section 2 for a brief history of the conjecture and related results by other authors.
In this paper, we give a new proof of this conjecture (for sufficiently large with respect to ), explore its variant for other Cayley graphs defined on finite fields, including Peisert graphs, and confirm two related conjectures by Mullin and the second author. In addition, we exhibit several new results on maximal cliques in both generalized Paley and Peisert graphs.
We recall a few relevant terms from graph theory. Given an abelian group and a set with , the Cayley graph is the graph whose vertices are elements of , such that two vertices and are adjacent if and only if . Such a set is called a connection set, and the condition guarantees that the graph is undirected. In this paper, we introduce a new family of Cayley graphs.
Definition 1.1 (Peisert-type graphs).
Let be an odd prime power. Let be a union of at most cosets of in such that , that is,
(1) |
where and . Then the Cayley graph is said to be a Peisert-type graph.
Such graphs have been implicitly studied within a larger family of strongly regular Cayley graphs in [BWX99]. In Lemma 2.13, we will see that Paley graphs, Peisert graphs, and more general versions of such graphs, are all special instances of Peisert-type graphs. The precise definitions of these graphs will be given in Section 2.
In order to state our first main result, we review a few additional definitions. A clique in a graph is a subset of vertices in such that every two distinct vertices in the clique are adjacent. A maximum clique is a clique with the maximum size, while a maximal clique is a clique that is not contained in a strictly larger clique. The clique number of , denoted by , is the size of a maximum clique in a graph . We prove the following theorem on the structure of maximum cliques in Peisert-type graphs.
Theorem 1.2.
Let be a Peisert-type graph of order , where is a power of an odd prime . Then , and any maximum clique in containing 0 is an -subspace of .
Our second main result strengthens the conclusion of Theorem 1.2 under additional assumptions.
Theorem 1.3.
Let be an integer and a real number. Let be a Peisert-type graph, where and . Suppose that there is a nontrivial multiplicative character of , such that the set is -lower bounded. Then in the Cayley graph , the only maximum clique containing is the subfield .
Roughly speaking, a set is -lower bounded if the sum over any subset of is not too small. A precise definition of -lower bounded appears in Definition 2.16 in Section 2. The sharpness of Theorem 1.3 is discussed in Example 2.21. In Section 2.4, as a straightforward application of Theorem 1.3, we will prove the van Lint–MacWilliams’ conjecture for all sufficiently large .
We mention here one new application of Theorem 1.3. Mullin [NM]*Chapter 8 conjectured that every maximum clique in the Peisert graph of square order containing must be the subfield . Note that this is an exact analogue of the van Lint–MacWilliams’ conjecture for Peisert graphs. We prove Mullin’s conjecture when is sufficiently large.
Theorem 1.4.
Let be a prime power such that . Assume that . Then the only maximum clique containing in the Peisert graph of order is given by the subfield .
Another objective of the paper is to prove new results on the structure of maximal cliques in Paley and Peisert graphs. While these results are not direct applications of our main Theorem 1.3, their proofs share similar ideas involving character sum estimates and the subspace structure. In particular, we confirm the conjecture of the second author on the maximal cliques in Peisert graphs of order .
Theorem 1.5 ([Yip3]*Conjecture 4.4).
If is a power of a prime and , then is a maximal clique in the Peisert graph of order .
The paper is organized as follows. In Section 2, we provide additional background, and further motivate the new definitions appearing in our paper. We also review the history of the van Lint–MacWilliams’ conjecture, and put our main theorems in context. In Section 3, we explain the two main techniques used in our proof. Specifically, we borrow results regarding the number of directions determined by a point set, and estimates on character sums over finite fields. In Section 4, we give proofs of Theorem 1.2 and Theorem 1.3; afterwards, we extend Theorem 1.4 to generalized Peisert graphs. In Section 5, we prove Theorem 1.5 and several other results on maximal cliques in certain Cayley graphs.
2. Background and overview of the paper
This section is organized into four subsections. In Section 2.1, we give additional context for the conjecture due to van Lint and MacWilliams. In Section 2.2, we recall the definitions of Peisert and generalized Peisert graphs, mention Mullin’s conjecture, and describe what is currently known about the clique number of Peisert graphs. In Section 2.3, we give further motivation for defining Peisert-type graphs. In Section 2.4, we explain our main results in more detail, and deduce Theorem 1.4 as a quick application.
2.1. Van Lint–MacWilliams’ conjecture and its variants
Definition 2.1.
Let be a prime power satisfying . The Paley graph on , denoted by , is the Cayley graph .
In other words, is the graph whose vertices are the elements of , such that two vertices are adjacent if and only if the difference between two vertices is a square in .
Van Lint–MacWilliams’ conjecture is often phrased as follows: in the Paley graph with order , the only maximum clique containing is the subfield . Van Lint and MacWilliams [vLM78] proved their conjecture in the special case . A shorter proof for the case was obtained by Lovász and Schrijver [LS83] using Rédei’s result on the number of directions; see Theorem 3.2 for a related discussion. The conjecture was first proved completely by Blokhuis [Blo84].
Theorem 2.2 ([Blo84]).
If is an odd prime power, then in the Paley graph of order , the only maximum clique containing is the subfield .
Later, Bruen and Fisher [BF91] gave a different proof using the so-called “Jamison method”. Sziklai [Szi99] generalized Blokhuis’s proof and extended the conjecture to certain generalized Paley graphs; see Theorem 2.4. See Remark 2.19 for discussion on the proofs given by Blokhuis and Sziklai, and how they differ from the proof in the present paper.
One can define generalized Paley graphs in an analogous way. They were first introduced by Cohen [SC] in 1988, and reintroduced by Lim and Praeger [LP] in 2009.
Definition 2.3.
Let be a positive integer. If , the -Paley graph on , denoted by , is the Cayley graph , where is the set of -th powers in .
In the literature, -Paley graphs and -Paley graphs are also known as cubic Paley graphs and quadruple Paley graphs, respectively.
If , the following theorem of Sziklai characterizes all maximum cliques in .
Theorem 2.4 ([Szi99]*Theorem 1.2).
If is an odd prime power and is a divisor of such that , then in the generalized Paley graph , the only maximum clique containing is the subfield ; in particular, each maximum clique in is an affine transformation of the subfield .
Remark 2.5.
The assumption that in Theorem 2.4 is crucial. In the case , it is easy to verify that does not form a clique in (see for example [Yip4]*Lemma 1.5); moreover, the second author [Yip4] recently proved that . Therefore, it is unlikely that there is a nice characterization of maximum cliques in , where .
Sziklai [Szi99] also proved the following embeddability result on maximum cliques.
Theorem 2.6 ([Szi99]*Theorem 1.3).
Let be an odd prime power and a divisor of such that . If is a clique in the generalized Paley graph , such that , and , then .
Many authors have attempted to give a new proof of van Lint–MacWilliams’ conjecture. Godsil and Meagher [GM] suggested an approach using algebraic graph theory, in particular the module method, to prove Theorem 2.2. The module method is a powerful tool to prove Erdős-Ko-Rado type theorems; for more details, see the discussion in [GM]*Section 5.9. Recently, Goryainov, Lin, and the authors [AGLY22] have proved that all Peisert-type graphs satisfy the EKR-module property, which is the first step in applying the module method. In addition, the second author [Yip4] gave a Fourier analytic characterization of maximum cliques, which suggests an alternative approach to prove Theorem 2.2.
2.2. Peisert graphs and generalized Peisert graphs
It is well-known that Paley graphs are self-complementary and symmetric. In [WP2], Peisert discovered a new infinite family of self-complementary symmetric graphs, which he called -graphs. This new family of graphs also goes under the name of Peisert graphs in the literature.
Definition 2.7.
The Peisert graph of order , where is a prime such that and is even, denoted by , is the Cayley graph with
where is a primitive root of the field .
While the construction of depends on the primitive root , the isomorphism type of is independent of the choice of [WP2]. Note that is not closed under multiplication since . The condition is needed to ensure that is symmetric.
Kisielewicz and Peisert [KP] showed that Paley graphs and Peisert graphs are similar in many aspects. However, we know very little about the structure of cliques of Peisert graphs other than Theorem 2.8.
Theorem 2.8 ([KP]*Theorem 5.1).
Let , where and . If is odd, then and the subfield forms a clique in ; if is even, then and the subfield forms a clique in .
Motivated by Theorem 2.2 and some numerical evidence, Mullin proposed the following conjecture [NM]*Chapter 8. Note that it is an analog of Theorem 2.2 on the characterization of maximum cliques in a Paley graph with square order.
Conjecture 2.9 (Mullin).
Let be a prime power. Then the only maximum clique containing in the Peisert graph of order is given by the subfield .
She remarked that if is a prime, then Conjecture 2.9 can be proved using a similar technique as Theorem 2.4; see [NM]*Corollary 3.4. She also remarked that the proof of Theorem 2.4 fails to extend to Peisert graphs straightforwardly, since the connection set of a Peisert graph is not closed under multiplication, while for Paley graphs and generalized Paley graphs it is closed; see also Remark 2.19. We show that Conjecture 2.9 holds for sufficiently large ; this is Theorem 1.4 and its proof is given in Section 4.
In [Yip4], the second author studied the connection between maximal cliques and maximum cliques in Peisert graphs of order , and conjectured the following based on numerical evidence.
Conjecture 2.10 ([Yip3]*Conjecture 4.4).
If is a power of a prime and , then is a maximal clique in the Peisert graph of order .
Note that the Peisert graph of order is the edge-disjoint union of two copies of the quadruple Paley graph . Therefore, Conjecture 2.10 strengthens [Yip3]*Theorem 1.6, which states that is a maximal clique in . We show that the conjecture above holds; see Theorem 1.5.
Motivated by the similarity shared among Paley graphs, generalized Paley graphs, and Peisert graphs, Mullin introduced generalized Peisert graphs; see [NM]*Section 5.3. In order to ensure that is an undirected graph, we also need a further hypothesis ; in Mullin’s thesis, this last congruence condition is , which appears to be a typo.
Definition 2.11.
Let be a positive even integer, and a prime power such that . The -th power Peisert graph of order , denoted by , is the Cayley graph , where
and is a primitive root of .
Remark 2.12.
Note that is precisely the Paley graph , and is the Peisert graph if is an even power of a prime . Moreoever, the generalized Peisert graph is the edge-disjoint union of copies of the generalized Paley graph , which again suggests that it is much harder to characterize the maximum cliques in than doing so for . Inspired by Conjecture 2.9, one can propose a similar conjecture on maximum cliques in a generalized Peisert graph; we prove such a result in Theorem 2.20.
2.3. Peisert-type graphs
One motivation of this paper is to provide a new and short proof for Theorem 2.4, and explore the structure of maximum cliques of those Cayley graphs which are similar to Paley graphs and generalized Paley graphs. In particular, we consider Cayley graphs defined on with connection set being a union of cosets of in as in equation (1).
In our Definition 1.1 of a Peisert-type graph we assume that ; in particular, these graphs enjoy the property that . As we will see in the proof of Theorem 1.2, the condition on the number of cosets is needed. Another reason for assuming is that we want ; see Example 2.18.
We remark that our definition of Peisert-type graphs shares some similarities with the definition of Peisert graphs. Recall that a Peisert graph is simply an edge-disjoint union of two copies of the quadruple Paley graph with the same order. Note that is a -Paley graph. Therefore, a Peisert-type graph is simply an edge-disjoint union of copies of -Paley graph. Notice also that we do not require the connection set to be closed under multiplication in Definition 1.1.
The following lemma allows us to unify the notions of generalized Paley graphs and generalized Peisert graphs under the assumption that . Note that when is even, already embeds inside ; however, for odd , there is no such obvious embedding as is defined only for even values of . The lemma shows that the Peisert-type graph is general enough to encompass both cases.
Lemma 2.13.
The following families of Cayley graphs are Peisert-type graphs:
-
•
Paley graphs of square order;
-
•
Peisert graph with order , where ;
-
•
Generalized Paley graphs , where and ;
-
•
Generalized Peisert graphs , where and is even.
The proof of the preceding lemma will be presented in Section 4. Both (generalized) Paley graphs and (generalized) Peisert graphs have many nice properties, and they have many applications in coding theory and design theory; see for example [JAlex15, JL, KR, WQWX]. We also expect that Peisert-type graphs will have a new set of applications.
2.4. Main results and their implications
Our goal is to characterize maximum cliques in a Peisert-type graph . Our first main result, Theorem 1.2, asserts that the clique number of is , and every maximum clique in has vector space structure; see [Yip3] for a related discussion on the vector space structure of maximal cliques in Cayley graphs. Later, we will show that such subspace must be in fact the subfield under additional assumptions.
When the order of the graph is , Theorem 1.2 immediately implies the following corollary.
Corollary 2.14.
Let be a Peisert-type graph of order . Then the only maximum clique containing is the subfield .
It is natural to ask whether the conclusion in Theorem 1.2 can be strengthened to the assertion that any maximum clique is an -affine space. In Example 2.21 below, we will see a counterexample for this stronger conclusion.
In the same spirit as Theorem 2.6, we prove an embeddability result for cliques in Peisert-type graphs.
Theorem 2.15.
Let be a Peisert-type graph, where , and . If is a clique in , such that and , then is contained in a -subspace of with dimension .
We want to find minimal assumptions on Peisert-type graphs for which the only maximum clique containing is the subfield . Such a clique is already an -subspace by Theorem 1.2, and to show that it is exactly the subfield , we will use character sum estimates in Section 3.2. The following definition is helpful for our discussion.
Definition 2.16.
Let . A set is said to be -lower bounded if for every integer , and for every choice of , we have
Example 2.17.
If are non-negative integers, then
Therefore, the set is -lower bounded.
Our Theorem 1.3 has the hypothesis that is -lower bounded for some . The following example explains the necessity of the condition , or equivalently, in Definition 1.1.
Example 2.18.
Suppose that with . If is an odd multiplicative character of , meaning that , then we claim that is not -lower bounded for any . Indeed, by the pigeonhole principle, for some , and , showing that the condition in Definition 2.16 is not satisfied for .
In Lemma 2.13, we saw that certain generalized Paley graphs and Peisert graphs are Peisert-type graphs. Next we present two quick applications of Theorem 1.3.
It is straightforward to apply Theorem 1.3 to generalized Paley graph , where . Let to be a multiplicative character with order ; then the set is trivially -lower bounded. This immediately implies a slightly weaker version of Theorem 2.4, that is, we obtain a simple proof that Theorem 2.4 holds if is sufficiently large.
Remark 2.19.
The original proofs of Theorem 2.2 by Blokhuis and Theorem 2.4 by Sziklai relied on the algebraic properties of the connection sets being squares and -th powers, which are in fact subgroups. Although the implication of our main result to Paley graphs is slightly weaker than their results, it seems difficult to extend their method to a general Peisert-type graph.
Similarly, we can apply Theorem 1.3 to Peisert graph with order , where , and deduce that Conjecture 2.9 holds as long as is sufficiently large.
Proof of Theorem 1.4.
In Section 4.3, we will apply Theorem 1.3 to study maximum cliques in a generalized Peisert graph , where . Note that Theorem 2.20 is a generalization of Theorem 1.4. It also strengthens Sziklai’s result (Theorem 2.4), because is a subgraph of ; see Remark 2.12 for more details.
Theorem 2.20.
Let be an integer, and an even integer. Let be a generalized Peisert graph, where , , and . Then in , the only maximum clique containing is the subfield .
The following example illustrates the necessity of the assumption that is sufficiently large stated in Theorem 1.3.
Example 2.21.
We consider the maximum cliques in a generalized Peisert graph , which was shown to be a conference graph by Mullin [NM]*Lemma 5.3.6 and also a Peisert-type graph in Lemma 2.13. Let be a primitive root of ; then is a primitive root of . Therefore, is a Peisert-type graph, where
Let be a maximum clique containing ; then . Let be the smallest non-negative integer such that , and say , where . Then ; in particular, is a maximum clique containing .
Suppose was the only maximum clique containing ; then the above argument would show that all maximum cliques containing are given by , where . This would imply that the number of maximum cliques containing is exactly , which violates the computational results listed in [NM]*Section 5.4. For example, has maximum cliques containing which is more than ; see [AGLY22]*Section 5.2 for a detailed study of the maximum cliques in . Similarly, has maximum cliques containing , which is more than . This shows that Theorem 1.3 can only hold for sufficiently large .
3. Main tools
In this section, we introduce two classical tools, which are both crucial for our proof.
3.1. Number of directions determined by a point set
Let denote the affine Galois plane over the finite field . Let . We use Cartesian coordinates in so that . The set of directions determined by is
where is the vertical direction. The theory of directions has been developed by Rédei [LR73], Szőnyi [Sz], and many other authors. The main methods in the theory revolve around studying certain lacunary polynomials and symmetric polynomials. In modern language, the theory was built via the application of the polynomial method over finite fields. We remark that it has been used several times to study cliques of Paley graphs and generalized Paley graphs. One highlight is that it can be used to deduce the best-known upper bounds on the clique number of Paley graphs and generalized Paley graphs; see recent papers [DSW, Yip2].
The standard way to identify and is via an embedding with respect to a basis of over seen as a -dimensional vector space over . We say that is an embedding if
where forms a basis of over . In the definition below, the term -subspace means a vector subspace defined over a field .
Definition 3.1 ([BBBSS]).
Let be a subset of containing the origin, and let be a subfield of . We say is -linear if there is an embedding of into the , such that forms a -subspace of .
The following theorem, due to Ball [Ball03], characterizes the number of directions determined by the graph of a function. It was built on previous works [LR73, BBS, BBBSS]. We present below the simplified version of Ball’s original formulation.
Theorem 3.2 ([Ball03]).
Let be any function such that , where is an odd prime power. Let be the number of directions determined by the graph of . Then either , or there is a subfield of such that the graph of is -linear. Moreover, in the latter case, if is the largest subfield over which the graph is -linear and , then .
If and , we can try to apply Theorem 3.2 to study . This is because an affine transformation preserves the number of directions; if does not determine all the directions, then is a graph of a function after an affine transformation. The following stability result, due to Szőnyi [Sz1] and Sziklai [Szi99], enables us to extend Theorem 3.2 to any with size .
Theorem 3.3 ([Sz1]*Theorem 4, [Szi99]*Theorem 3.1).
Let with , where , where . If determines less than directions, then it can be extended to a set with , which determines the same set of directions as .
3.2. Character sums over subspaces
Recall that a multiplicative character of is a group homomorphism from to the multiplicative group of complex numbers with modulus 1. It is customary to define . We will use to denote the trivial multiplicative character of . For a multiplicative character , its order is the smallest positive integer such that .
Many problems in number theory and combinatorics rely on non-trivial character sum estimates over certain subsets of interest. We refer to [Chang] for a nice survey paper by Chang, consisting of known results on character sums over a subset of a given finite field, such as the extension of the classical Pólya-Vinogradov inequalities and Burgess’ bounds to a general finite field. For our purpose, we need nontrivial character sum estimates over a subspace of a finite field.
Weil’s estimate (see [LN]*Theorem 5.41) is a classical tool of bounding complete character sums with a polynomial argument over a finite field. The following theorem, due to Katz [Katz], essentially generalizes Weil’s estimate to character sums over a subspace. Recall an element is said to have degree over if is the smallest extension of that contains .
Theorem 3.4 ([Katz]).
Let be an element of degree over and a non-trivial multiplicative character of Then
Recently, Reis [Reis] used Theorem 3.4 to prove the following character sum estimate over an affine space.
Theorem 3.5 ([Reis]).
Let be an -affine space of dimension , where Suppose that there exists a nonzero element such that the set contains an element of degree over If is a non-trivial multiplicative character of , then
(2) |
The hypothesis on the existence of a degree element cannot be completely dropped. For equation (2) to hold, we must have some assumptions on the structure of the affine space . Typically, we need to assume that does not have a special algebraic structure. As a counter-example, let be a proper subfield. Then we can find a non-trivial multiplicative character on such that is the trivial character; in this case, holds for sufficiently large , violating the conclusion in Theorem 3.5. This construction is an example of the so-called subfield obstruction.
Chang [Chang]*Section 5 also gave a somewhat weaker nontrivial estimate of character sums over subspaces of finite fields. Here we use Theorem 3.5 since it is stronger to some extent, and it does not involve any implicit constants, which can be challenging to determine.
The following corollary gives a non-trivial upper bound on the character sums over a subspace when is a subspace but not a subfield. Corollary 3.6 is a consequence of Theorem 3.5 and [Reis]*Proposition 2.2; here we include the proof for the sake of completeness.
Corollary 3.6.
Let be an integer such that , and an odd prime power. Let be an -space of dimension , with , and . Then for any non-trivial multiplicative character of ,
(3) |
Proof.
It suffices to show that if has size and , then has an element with degree . To prove this assertion, note that the number of elements in the union of as with is less than . Suppose that has size , and . If did not have any element of degree , then all the elements of would be contained in . Now, has dimension at most , which means that at least many elements of must belong to . This is a contradiction because for , we have
Note that if is an odd prime, then any element in has degree . Thus, we obtain the following corollary of Theorem 3.5, which will be used in Section 5.
Corollary 3.7.
Let be an -subspace of dimension , where is an odd prime power, is an odd prime with , and . If is a non-trivial multiplicative character of , then
(4) |
4. Maximum cliques in a Peisert-type graph
We start the section by proving Lemma 2.13. In Section 4.2, we prove our main theorems and mention a few corollaries. Finally, in Section 4.3, we classify maximum cliques in generalized Peisert graphs as an application of our main theorem.
4.1. Proof of Lemma 2.13
As a motivation for Definition 1.1, Lemma 2.13 states that (generalized) Paley and Peisert graphs are special instances of Peisert-type graphs.
Proof of Lemma 2.13.
The first two families of graphs are special cases of the last two. Thus, it suffices to prove the claim for generalized Paley graphs and generalized Peisert graphs.
A generalized Paley graph , where and , is of the form where consists of all -th powers in . Since , we have . Note that is the subgroup obtained by taking the image of the group homomorphism sending . It follows that . Finally, is a subgroup of with index
which allows us to write,
with and . Thus, is a Peisert-type graph.
For the generalized Peisert graph , where and is even, the connection set can be expressed as a disjoint union:
It follows that is the edge-disjoint union of copies of . Since each can be expressed as a union of cosets of , we can express above as,
with and . Thus, is a Peisert-type graph. ∎
4.2. Proof of main results and consequences
With the two tools described in the previous section, we are ready to prove Theorem 1.2.
Proof of Theorem 1.2.
Let . Since , forms a basis of over . We consider the following standard embedding of into , where
It is clear that the subfield forms a clique in the Cayley graph , so .
Let be a maximum clique in containing . We can express , the image of under the embedding as
If there are such that , then , and since is a clique. Since is a union of cosets of , this implies that , contradicting our assumption. This also rules out the possibility that by the pigeonhole principle. Therefore, .
Let . Note that . As we saw above, for any , we have . Since is a clique, we have ; it follows that
since is a union of cosets of , , and .
Notice that
We claim that for each . Indeed, if , then for some ; combining with , we get , and so .
As we saw above, does not determine the vertical direction. Since , we must have that
is the graph of some function such that . Recall that the direction set consists of all ratios for . We have shown that,
has size at most . Equivalently, . By Theorem 3.2, it follows that is -linear for some subfield . In particular, is -linear, and so is an -subspace of . ∎
Inspired by the proof of Theorem 1.2, we provide a sufficient condition for a maximum clique in a Peisert-type graph on to be the subfield .
Corollary 4.1.
Let be a Peisert-type graph, where . Suppose that , where is the largest proper divisor of . Then the only maximum clique in containing is the subfield .
Proof.
Let be a maximum clique in such that . Following the proof of Theorem 1.2, if we embed into , then its image determines at most directions and is -linear, where is a subfield of . If , then Theorem 3.2 implies that , contradicting the assumption. Therefore, is -linear, that is, is an -subspace. In particular, if , then must be the subfield . ∎
Remark 4.2.
There are counterexamples of Peisert-type graphs with where is not the only maximum clique containing and . Explicit constructions can be found in [AGLY22]*Section 5.1. Note that is only slightly bigger than , which means that the previous corollary is nearly sharp.
With the help of Theorem 3.3, namely the stability result on the direction set, the proof of Theorem 1.2 can be easily modified to prove Theorem 2.15.
Proof of Theorem 2.15.
Let be a clique in , such that and . Similar to the proof of Theorem 1.2, we can embed into using the same map to obtain . By the exact same reasoning, determines at most directions, and does not determine the vertical direction.
We can now apply Theorem 3.3 with where and for a sufficiently small . This allows us to extend to a larger set , such that , and determines the same set of directions as ; in particular, . Let ; then , and
It follows that ; in other words, the preimage forms a maximum clique in . The required claim follows from Theorem 1.2. ∎
Now we are ready to present the proof of Theorem 1.3.
Proof of Theorem 1.3.
We can always assume in the statement of the theorem since characters have absolute value at most . Suppose that there is a nontrivial multiplicative character of such that the set is -lower bounded. By Theorem 1.2, if is a clique in the Peisert-type graph , with , then is an -subspace of .
Suppose , and . Then is an -subspace of and . By Corollary 3.6,
On the other hand, the set is -lower bounded, which guarantees that
Comparing these two inequalities, we obtain
Now, and thus . Thus,
which contradicts our hypothesis. Therefore, if , then . ∎
Remark 4.3.
Under additional conditions on the size of the connection set, the range for the values of in Theorem 1.3 can be improved. We already saw this phenomenon in Corollary 4.1. More generally, suppose that where and is a proper divisor of . Then using Theorem 3.2 and applying Theorem 3.5 over the base field , we see that Theorem 1.3 will hold under the weaker hypothesis .
Corollary 4.4.
Under the same assumptions as in Theorem 1.3, if , then for any clique in with and , we have .
4.3. Application to generalized Peisert graphs
We start with the following lemma, concerning the connection set of a generalized Peisert graph.
Lemma 4.5.
Let be an even integer, and . Then the set is -lower bounded.
Proof.
Let be a non-negative integer for each , and . We have
If , then
If , then
therefore,
Note that we always have
Therefore, is -lower bounded. As , is -lower bounded. In particular, one can check that using Taylor series expansion, and thus, is -lower bounded. ∎
Now we are ready to prove Theorem 2.20.
Proof of Theorem 2.20.
Let be a primitive root of , and . Let be the multiplicative character in such that . Recall that the connection set of the generalized Peisert graph is given by
Therefore, is -lower bounded by Lemma 4.5. We have shown that is a Peisert-type graph in Lemma 2.13; therefore, we can apply Theorem 1.3 to get the desired characterization of maximum cliques in provided that
5. Maximal cliques in generalized Paley graphs and Peisert graphs
Recall that our strategy to classify maximum cliques is the following: first show that every maximum clique has a subspace structure, and then apply character sum estimates over a subspace to show a maximum clique must be a subfield. In this section, we employ a similar idea to study maximal cliques. Assuming that a given clique is not maximal, if we can extend the clique and construct a maximal clique with a subspace structure, then it is possible that we can apply character sum estimates to derive a contradiction.
For generalized Paley graphs, this approach is made possible via the following lemma, established by the second author [Yip3].
Lemma 5.1 ([Yip3]*Corollary 3.1).
Let be a generalized Paley graph. If is a proper subfield such that forms a clique in , then there is a -subspace of , such that , and forms a maximal clique in .
Our aim is to provide partial progress towards the following main conjecture in [Yip3]:
Conjecture 5.2 ([Yip3]*Conjecture 1.4).
Let be a positive integer greater than . Let be a power of a prime , and let be the largest integer such that is a subfield of and . Then the subfield forms a maximal clique in .
Conjecture 5.2 has been shown to be true for cubic Paley graphs with cubic order and quadruple Paley graphs with quartic order in [Yip3]. We establish the following special case of Conjecture 5.2.
Theorem 5.3.
Let be a positive integer greater than . Let be an odd prime. If and , then the subfield forms a maximal clique in .
Proof.
Since is an odd prime power, implies that , and thus is a well-defined -Paley graph. It is easy to verify that the condition guarantees that forms a clique in ; see [BDR]*Theorem 1.
Suppose that is not a maximal clique in . Then Lemma 5.1 implies that there is a clique in , such that is a 2-dimensional -subspace, and . Therefore, if we let to be a multiplicative character of with order , then
(6) |
which violates inequality (4) in Corollary 3.7, provided . This shows that is a maximal clique in . ∎
To prove Theorem 1.5, we use a similar strategy. We need the following result from [Yip3], which explores the connection between maximal cliques and maximum cliques in a Peisert graph of order .
Theorem 5.4 ([Yip3]*Theorem 1.7).
Let be a power of a prime . If is not a maximal clique in the Peisert graph of order , then ; moreover, there exists , such that forms a maximum clique.
We now have the tools to prove Theorem 1.5.
Proof of Theorem 1.5.
Let be a primitive root of . Let be the multiplicative character of such that . It follows that for any , , and .
Suppose that is not a maximal clique in the Peisert graph . By Theorem 5.4, there exists , such that forms a maximum clique. In particular, for each , we have or . Consequently,
where are non-negative integers such that . Therefore,
(7) |
On the other hand, is an -subspace with dimension . Moreover, note that is a primitive root of the subfield ; in particular, since , the subfield does not form a clique in the Peisert graph of order . Therefore, . By Corollary 3.6,
(8) |
Combining inequalities (7) and (8), we must have . This implies that when , is a maximal clique in the Peisert graph of order .
Finally, in [Yip3], using SageMath, we have verified that for each , is a maximal clique in the Peisert graph of order . ∎
Remark 5.5.
The assumption is necessary in Theorem 1.5. Indeed, one can check that when , the subfield is not maximal in the Peisert graph of order . Indeed, there is a clique which is a two-dimensional -space containing .
We conclude the section with a similar statement regarding maximal cliques in a generalized Peisert graph.
Theorem 5.6.
Let be a positive even integer. Let be an odd prime, and be an even power of an odd prime . If and , then the subfield forms a maximal clique in .
The proof is similar to the proof of Theorem 2.20 and Theorem 5.3, except that we need to establish the following variant of Theorem 5.4 for (which is straightforward by following the proof of Theorem 5.4 step by step), and use Lemma 4.5 to get a lower bound on the character sum estimate.
Proposition 5.7.
Let be a positive even integer. Let be an odd prime, and be an even power of an odd prime . If , and if the subfield is not a maximal clique in , then there exists , such that forms a clique in .
Acknowledgements
The authors thank Greg Martin, Daniel Panario, Zinovy Reichstein, József Solymosi, and Joshua Zahl for helpful discussions. The authors are also grateful to the referees for valuable comments, corrections, and suggestions. The research of the first author was supported by a postdoctoral research fellowship from the University of British Columbia. The research of the second author was supported in part by a Four Year Doctoral Fellowship from the University of British Columbia.