Abstract
In this paper, we investigate partitions of highly symmetrical discrete structures called cycloids. In general, a mixed hypergraph has two types of hyperedges. The vertices are colored in such a way that each C-edge has two vertices of the same color, and each D-edge has two vertices of distinct colors. In our case, a mixed cycloid is a mixed hypergraph whose vertices can be arranged in a cyclic order, and every consecutive p vertices form a C-edge, and every consecutive q vertices form a D-edge in the ordering. We completely determine the maximum number of colors that can be used for any and any . We also develop an algorithm that generates a coloring with any number of colors between the minimum and maximum. Finally, we discuss the colorings of mixed cycloids when the maximum number of colors coincides with its upper bound, which is the largest cardinality of a set of vertices containing no C-edge.
MSC:
05C15; 05C38; 05C65
1. Introduction
Many processes in different areas of science, technology, engineering, etc., have a circular nature and are modeled by circular structures using graphs and hypergraphs. They are important tools in finding optimal solutions to optimization problems (see [1] for a fresh random example).
In this paper, we investigate partitions of highly symmetrical discrete circular structures called cycloids. The general idea is that elements of the structure (called vertices) are placed in cyclic ordering, and intervals of elements in the ordering have a specified cardinality, and all are present. In this model, elements of a structure can be in a number of discrete states called colors. The partitions and restrictions on them are studied using the language of mixed hypergraph coloring, specifically termed as colorings, of complete -uniform circular mixed hypergraphs of order n.
1.1. Mixed Hypergraphs and Their Coloring Parameters
The structure class of mixed hypergraphs was introduced in the mid-1990s [2,3]. The first decade of the theory is summarized in the monograph [4], and a regularly updated list of publications is maintained on the website [5]. Below, we give some basic definitions.
A mixed hypergraph is a triple , where X is the vertex set, and and are set systems over X. The members of and are termed C-edges and D-edges, respectively; their role is distinguished via vertex coloring. Throughout, we shall assume that X is finite, , , and all C- and D-edges have size at least 2.
A proper k-coloring of is a mapping such that
- every C-edge contains two (or more) vertices with a common color;
- every D-edge contains two (or more) vertices with distinct colors.
Some members of this rich structure class are uncolorable; is said to be colorable if it admits at least one proper coloring. Various constructions of uncolorable mixed hypergraphs are described in [6].
Assume from now on that is colorable. A strict k-coloring of is a proper k-coloring that uses all the k colors. The feasible set of is defined as
The lower chromatic number is the smallest element of , and the upper chromatic number is the largest element of . If , then , and we obtain the classical notion of proper vertex coloring, which directly generalizes from graphs to hypergraphs as studied since the mid-1960s. On the other hand, if , then , and we obtain a coloring notion termed C-coloring. Its equivalents and particular cases have been studied under several names in various contexts; perhaps the earliest occurrence of the concept is published by Sterboul in [7]. The literature of C-coloring is surveyed in [8]. Evidently, uncolorable hypergraphs with or do not exist.
The feasible set is gap-free if it contains all integers between and ; that means . The first mixed hypergraphs with gaps in their feasible sets were discovered in [9]. (With a related terminology, it is also said that the chromatic spectrum of is gap-free (or, continuous). By definition, the chromatic spectrum of is a vector of dimension , whose kth entry is the number of partitions generated by strict k-colorings.)
1.2. Circular Mixed Hypergraphs
A mixed hypergraph is called circular if its vertices can be arranged in a cyclic order, , such that all C- and D-edges consist of consecutive vertices. In particular, the complete -uniform circular mixed hypergraph of order n, which we denote by , is the mixed hypergraph with
where the subscript addition is meant modulo n. Throughout, we shall assume because would make the entire X monochromatic and uncolorable if .
Circular mixed hypergraphs have been generalized in two different directions, structurally in [10] and in terms of color-bounding functions in [11]. The following result, which follows from both Theorem 9 of [10] and Theorem 6 of [11], is important in the current context.
Theorem 1
([10,11]). If a circular mixed hypergraph is colorable, then its feasible set is gap-free.
A systematic study of circular mixed hypergraph coloring was carried out in the papers [12,13], with emphasis on in the former and on in the latter. Combining some results from those works, the following theorem can be stated for complete circular mixed hypergraphs.
Theorem 2
([12,13]). Disregarding the unique exception of with odd, all are colorable for all and all . Moreover, the lower chromatic number is 2 if or n is even, and it is 3 if and is odd.
For any odd, is uncolorable but not minimal uncolorable. As was found in [12], contains minimal uncolorable circular mixed hypergraph as a partial sub-hypergraph. The smallest example is shown in Figure 1.
Figure 1.
The minimal uncolorable circular mixed hypergraph .
Recent works deal with , namely [14] proves for , and the main theorem of [15] gives if , where s denotes the “sieve number”. We shall give the definition and some comments on this parameter in the concluding section.
At the end of the paper [15], its authors raise the problem of determining the feasible set of for all p and q. Due to Theorem 1, this reduces to computing the upper chromatic number for all 3-tuples . In the present work, we completely solve this problem as follows.
Theorem 3
(Main Theorem). For any integers and , the upper chromatic number of is as given in Table 1.
Table 1.
The upper chromatic number of for and .
The cases with are rather simple; we list them for completeness in the following assertion.
Proposition 1.
If , then
Definition 1.
The color classes of a strict k-coloring are defined as the sets , .
Remark 1.
If φ is a strict coloring of a mixed hypergraph with colors and with color classes , then .
1.3. Structure of the Paper
For the sake of completeness, we include proofs also for simple cases that might be left to the reader. These are given in Section 2, which covers all combinations of parameters satisfying . From then on, will be assumed. In Section 3, we introduce the notion of the types of color classes and a weighting for monochromatic vertex pairs, which provides a basis for later proofs. Section 4 includes the proof of the Main Theorem for and describes a coloring algorithm based on the “sieve number”, a parameter closely related to the upper chromatic number. Section 5 deals with and completes the proof of the Main Theorem. In Section 6, we characterize a special case of mixed cycloids, the so-called C-perfect mixed cycloids, and give concluding remarks.
2. Some Simple Cases:
Here, we describe the solution for some fairly obvious combinations of the parameters. The next list deals with the cases of Proposition 1 and the first three lines of Table 1. After that, we consider the range in the case of .
Note that means , and then no monochromatic pair of vertices is required to occur, i.e., .
- For , we have ; therefore, every color assignment to the vertices is a proper coloring, hence .
- For , if n is even or , the color assignment , defined as for all , is a proper 2-coloring, and any number of vertices may be recolored with their private colors to obtain proper colorings with more colors, hence .
- For with n odd, needs at least 3 colors, and the assignment for with is a proper 3-coloring. Furthermore, here, we have the option to introduce private colors to any number of vertices, hence .
- If and , then due to the D-edges, but the C-edges have to contain some color twice; thus, must hold for all i. This is impossible if n is odd—i.e., the hypergraph is uncolorable—and forces the 2-coloring with alternating colors if n is even.
- For , the coloring for with is feasible unless . Consequently, if p is even or , and if is odd and .
Proposition 2.
If and , then .
Proof.
Since , we have . Then the partial assignment , properly colors all C-edges. Then all the other vertices can get their private colors; therefore, . The feasible set is gap-free by Theorem 1, and the earler assignment is a proper 2-coloring. Hence, the assertion follows. □
3. Types of Color Classes
Assuming , in this section, we introduce a weight associated with monochromatic pairs of vertices that are not far from each other in the circular order. These weights will be the main tool for proving tight upper bounds on the upper chromatic number.
Basic Definitions
We define the distance between two vertices and as
Assume for the moment that a proper coloring of is also at hand. We say that and are related if and . It will be convenient to view related vertex pairs in the order such that
This order is unique because would hold only if , which has already been handled in Proposition 2 and is disregarded here. For , we shall write to express that holds, i.e., walking around the cycle modulo n, the path from i to j is shorter than that from j to i.
Assuming , the vertices and are said to form a next-related pair if they are related, and there does not exist any l such that they are related to and l is “between” i and j, that is . By definition, every C-edge must contain a related pair; then, it also contains a next-related pair. Therefore, it suffices to verify a proper coloring for the C-edges by restricting attention to the next-related pairs.
In this way, a proper coloring may contain two basic types of color classes:
- path-class: a sequence of vertices such that is next-related to for all , but and either are not related at all, or they are related in the direction from to , i.e., .
- cycle-class: a sequence of vertices such that is next-related to for all ; moreover, is also next-related to in the direction from to , i.e., .
In either case, a color class of size m “loses” colors, in accordance with Remark 1.
Proposition 3.
Let be a proper vertex coloring of .
- (i)
- The number of C-edges properly colored by a related pair is precisely .
- (ii)
- If is a path-class, then the number of C-edges properly colored by is at most , with exactly if and only if and . Moreover, if , then the upper bound is at most .
- (iii)
- If is a cycle-class, then the number of C-edges properly colored by is at most , with equality if and only if any two related vertex pairs are next-related.
Proof.
There are exactly C-edges in the family , which contains the vertex pair , for any .
An upper bound is obtained by summing the formula of for the next-related pairs in . We have terms, and each of them is at most . To yield , each summand has to be , which needs neighbor vertices. In the presence of more than two consecutive vertices , this computation would count the C-edge twice because . If , the distance between the next-related vertices is at least 2; hence, each of the terms in the upper bound is at most .
In the case of a cycle-class, we have to add to the sum of . Then p occurs m times, and the sum of the terms is equal to n because the next-related pairs form a complete cycle. If and with are related but not next-related, then is properly colored by more than one pair of vertices. □
Corollary 1.
The average number of properly colored C-edges losing one color is
- at most, if is a path-class;
- at most, if is a path-class and ;
- at most, if is a cycle-class of size .
Based on this observation, we assign colors to some of the vertices.
Definition 2.
In a vertex coloring we say that is a repeated color, and is a repeating vertex, if there is an index l with and . The weight of a repeated color , or of the repeating vertex , is defined as
- if and is in a path-class;
- if and is in a path-class;
- if is in a cycle-class of size .
If all C-edges are properly colored, the weight sum taken over the repeating vertices is at least n; hence, the following inequalities are valid:
Corollary 2.
Let be a strict k-coloring of . Assume that are path-classes and are cycle-classes.
- (i)
- For any q, we have
- (ii)
- If , then
4. Proofs for
In this section, we first prove the Main Theorem in the case of . Then, in the second part, we point out a relation with the parameter called the sieve number, and based on it, we present an algorithm that properly colors with any number of colors that belong to the feasible set.
4.1. The Upper Chromatic Number
The value for the upper chromatic number is stated in the last line of Table 1. Equivalently, it means that in every proper coloring of , there occur at least repeating vertices and that this bound is best possible. First, we show the easier part, the lower bound:
Indeed, for , assign color to the vertices and ; this is feasible unless (mod ) because the vertices are all distinct. If (mod ) and , the simple modification can be done. Finally, if and n is odd, we recolor the last possible monochromatic pair as . These coloring patterns properly color all C-edges without creating any monochromatic D-edges. The number of colors can then be maximized by assigning a private new color to each vertex that has not been colored so far. This yields the claimed lower bound on .
The matching upper bound
will be derived from the observations of the preceding section, estimating the number of repeated colors. For this, let be a proper coloring with colors and color classes . If all are path-classes, then it immediately follows from Corollary 2 that the number of repeated colors is at least . The same conclusion holds if the weight of every repeated color in the cycle-classes is at most .
Assume that this is not the case, i.e., there is a cycle-class, say of size m, such that the weight of its repeating vertices is larger than . Since all parameters are integers, this equivalently means
Moreover, since we already have a coloring with colors, for a better lower bound, it is also necessary that the number of lost colors be strictly smaller than . However, we would then have
which is impossible because we have . This contradiction completes the proof for .
4.2. The Sieve Number and a Coloring Algorithm
As introduced in [16], in a mixed hypergraph , a subfamily of C-edges is a sieve if for every pair of vertices and every pair of different C-edges the following implication holds:
The maximum cardinality of a sieve in is the sieve-number, denoted by .
Algorithm 1 below will properly color the vertices of , with and , provided that .
The main idea of the algorithm is to construct a maximum sieve and then color the vertices to satisfy all coloring constraints.
In general circular mixed hypergraphs, the intersection of two different C-edges of a sieve can only be empty, a common vertex, or two common vertices forming a D-edge. Let us call the intersection of two arbitrary C-edges good if and only if this intersection is empty, or a single vertex, or two vertices forming a D-edge. Otherwise, the intersection of two arbitrary C-edges is bad. Due to our particular family of hypergraphs, namely with , D-edges of size 2 do not occur; hence, we will always have a good nonempty intersection with a single vertex.
Algorithm 1. (Modified Algorithm from [15]).
INPUT: , , , , both not equal to 3, and
OUTPUT: A proper coloring of
Let be a circular mixed hypergraph and one of its C-edges.
- Construction of a maximum sieve Σ through . Let , where , . Choose the C-edge nearest to , having a “good intersection”. So, . Let have smallest distance from (measured in the cyclic order of the host cycle). Choose nearest to , etc. Thus, a maximum sieve is obtained so that no new can be found.
- Assigning colors to some vertices of Σ. The vertices of the C-edge with p vertices are denoted by according to the cyclic order of the host cycle. Next, we assign colors to some vertices of the C-edges of in the following way, where the coloring is denoted by c. Assign color 1 to the last two vertices and . We then color some vertices of in the following way: Color and a new color .
- Fixing the vertices to satisfy the C-condition. In step 2, we started coloring with the vertex , proceeded along the host cycle, and ended with coloring of the vertices of .Let denote the set of vertices belonging to edges of .
- (a)
- If and , all C-conditions are satisfied.
- (b)
- If and , assign and then all C-conditions are satisfied.
- (c)
- If and , assign 1 to ; otherwise, assign to and .
- Assign pairwise different colors to the remaining vertices of X. The cycloid is now colored with or colors, as shown in [15]. Let M denote this number. These may be values that reach and near the upper bound found in [13].
- Downshifting colors: Let k be the number of colors desired, . To construct a coloring using precisely k colors, start with the obtained coloring and do the following:
- (a)
- If more than colors are used, recolor all vertices with the largest color, a color 1 less. If this coloring violates the D-condition, recolor the unmodified, adjacent, previous vertex (or pair of vertices in the case which is the previous vertex) a color 1 less at each violated interval.
- (b)
- Repeat the above until the desired number of colors k is used for .
- (c)
- If colors are desired, perform (b) until colors is obtained. Then begin with and color and both 1. Then, for all vertices assigned , recolor these vertices 2. Now, s colors are used.
- (d)
- If , use (b) and (c) to get to s colors. Then begin with and color and both 1. Then, for all vertices not assigned 1 or 2, recolor these vertices 1 less than the color already assigned. Repeat this process with , , and so on until the desired number of colors is met.
- End.
Again from [15], we have:
Lemma 1.
For =, , the sieve number is .
Since , the D-edges of have no effect on the sieve number; therefore, for = with . As such, or agrees with Table 1 with or operating the same as .
Additionally, it should be noted that the algorithm has a runtime as the worst-case scenario will have a runtime of , where is an integer dependent on the number of colors required and .
5. Proofs for
Similar to the case of , here, the basic approach is also to analyze the possible weight distributions in proper vertex colorings of . The situation with is more complicated, however, than what we have seen with the previous larger q because, in some cases, the path-classes are not sufficient for an optimal coloring.
As we wrote in the introduction, the case of is well understood; therefore, we only consider here. First, we describe some constructions and then prove that they are optimal. Table 1 shows that the general rule is , except for if n is even, and in the particular case of , which has . This means repeated colors or in the exceptional cases.
5.1. Coloring Constructions
Recall that in the current case of , neighbor vertices cannot get the same color.
5.2. General Case
For , assign color to the vertices and ; this is feasible unless (mod ) because , and so, the vertices are all distinct (we view if (mod )). If (mod ), we set . After that, assign a private color to each vertex that has not been colored so far. We obtain a proper coloring with repeated colors for every .
5.3. Exception , n Even
Assign color 1 to every vertex of even index, i.e., , and assign a private color to every vertex of odd index. This coloring uses colors, and every C-edge (now of size 4) contains two vertices of color 1.
5.4. Exception , n Odd
Assign , , . After that, assign a private color to each vertex that has not been colored so far. We obtain a proper coloring with repeated colors for every odd . Hence, the number of used colors is .
5.5. Exception ,
Let , and assign a private color to each of the other six vertices. This coloring uses seven colors, which is more than , and every C-edge (now of size 5) contains two vertices of color 1.
5.6. Tight Upper ounds
Let again be a proper coloring with colors and color classes . In order to prove the upper bound
we determine those cases in which there is a chance to use more colors if a cycle-class also occurs. For this, it is necessary that the weight in a cycle-class of size m exceeds the weight in a path-class. For this, we need:
Moreover, the number of colors repeated so far has to be smaller than . In this way, we obtain:
Assuming for the moment, the two ends of this inequality chain imply
for all , already settled in Section 2. If , the range means . Based on a rounding error, we can exclude because then we have . For , the number of repeated colors is at least ; hence, the number of used colors is at most , which matches the construction described above.
Finally, let . The distance between two next-related vertices is either 2 or 3 because and . Assume without loss of generaliy that is a cycle-class. If there are no next-related pairs at distance 3 in , then, of course, n is even; moreover, , and there are repeating vertices in . Hence, as claimed. On the other hand, if are next-related, then the C-edges and are not properly colored by ; moreover, they cannot be properly colored by just one further repeated color because is not allowed to be monochromatic. In particular, if n is odd and all but one next-related pairs in are at distance 2, then beside the repeated colors in , there must occur two further ones. Thus, no more than colors can occur.
In other words, if a “jump” occurs, then two additional repeated colors have to occur in the interval . Similarly, if there are two consecutive jumps , then three additional repeated colors are needed in because among the four C-edges with respective first vertices , , , , which are not properly colored by , only the second and third admit a common monochromatic vertex pair (namely ). More generally, if there are t consecutive jumps , then, depending on whether they close to a cycle or not,
- there are at least t additional repeated colors if ;
- there are at least additional repeated colors if .
Note that n and t have the same parity. We have ; hence, the following lower bounds can be given by the number of repeated colors:
- if , with equality only if (as holds for );
- for all if .
This completes the proof for .
6. Concluding Remarks
In this paper, we considered colorings of complete circular hypergraphs in which the “intervals” of any p consecutive vertices have to contain two vertices with a common color and any q consecutive vertices have to contain two distinct colors. The main result is the complete determination of the largest possible number of colors under these conditions for any number n of vertices, any , and any .
For , we also designed a procedure that can generate a coloring with any number of colors between minimum and maximum. The starting point of this algorithm is to take a sieve of maximum size in the hypergraph under consideration. In the hypergraphs with , the sum of the sieve number and the “C-stability number” (see definition below) is very close to the number of vertices, and the C-stability number is very close to the upper chromatic number. In the rest of these conclusions, we mention some properties of circular hypergraphs in which the latter two parameters are equal in every induced subhypergraph.
C-Perfect Circular Hypergraphs
In a mixed hypergraph , a set of vertices is C-independent or C-stable if it contains no C-edge. The C-stability number is the maximum cardinality of a C-stable set of . Always, because a set with more distinct colors than would assign different colors to all the vertices of some C-edge. A mixed hypergraph is C-perfect if for every induced subhypergraph of , including itself.
Several classes of C-perfect and minimal non-C-perfect mixed hypergraphs have been found. A polystar is a mixed hypergraph with at least two C-edges in which the set Y of vertices common to all C-edges (center) is nonempty, and every pair in Y forms a D-edge. When the center consists of one vertex, then the polystar is also called a monostar. Hence, each polystar in a C-hypergraph is a monostar. A bistar is a mixed hypergraph in which there exists a pair of distinct vertices common to all C-edges and not forming a D-edge. Bistars are C-perfect, whereas polystars are not. Among the first minimal non-C-perfect hypergraphs are the cycloids , which, in the terminology of this article, is , found first in [3]; for the smallest example, see Figure 2.
Figure 2.
Cycloid =.
The characterization of C-perfect circular hypergraphs without D-edges was done in [17], proving that if no edge is a subset of another edge, the necessary and sufficient condition for C-perfectness of circular C-hypergraphs is to exclude monostars and cycloids. The situation with the presence of D-edges becomes more complicated, however, even in hypergraphs built upon host graphs without cycles, as was shown in [18].
Let denote the class of all circular mixed hypergraphs of order containing no induced monostar and no induced covered C-bistar with the following property: there is an ordering of the C-edges so that and induces a or a (indices modulo s). If contains no D-edges of size 2, then is empty for even n, and is the cycloid for odd . An example for even is with is the -cycle, and indices taken modulo n. A non-uniform example of a hypergraph in would have . The following general characterization of C-perfect circular mixed hypergraphs is proven in [19]:
Theorem 4.
A circular mixed hypergraph is C-perfect if and only if and does not contain induced C-monostars and induced covered C-bistars.
A contains C-monostars if and only if . If , and , it contains covered C-bistars. If , and , then . These observations lead to the following characterization of C-perfect hypergraphs:
Theorem 5.
A mixed cycloid is C-perfect if and only if
Author Contributions
Methodology: G.D., N.N., Z.T. and V.V. All authors contributed with results and writing. All authors have read and agreed to the published version of the manuscript.
Funding
This research was supported by the National Research, Development and Innovation Office—NKFIH—under the grant SNN 129364 and by the Ministry of Innovation and Technology NRDI Office within the framework of the Artificial Intelligence National Laboratory Program.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Conflicts of Interest
The authors declare no conflict of interest.
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