Abstract
Let k be a positive integer, and set . For a graph G, a k-rainbow dominating function (or kRDF) of G is a mapping in such a way that, for any vertex with the empty set under f, the condition always holds, where is the open neighborhood of v. The weight of kRDF f of G is the summation of values of all vertices under f. The k-rainbow domination number of G, denoted by , is the minimum weight of a kRDF of G. In this paper, we obtain the k-rainbow domination number of grid for .
1. Introduction
For a graph G, we denote by and the vertex set and the edge set of G, respectively. For a vertex , the open neighborhood of v, denoted by , is the set and the closed neighborhood of v, denoted by , is the set . The degree of a vertex , denoted by , is defined by . We let and denote the minimum degree and maximum degree of a graph G, respectively.
Let k be a positive integer, and . For a graph G, a k-rainbow dominating function (or kRDF) of G is a mapping in such a way that for any vertex with the empty set under f, the condition always holds. The weight of a kRDF f of G is the value . The k-rainbow domination number of G, denoted by , is the minimum weight of a kRDF of G. A kRDF f of G is a -function if . The k-rainbow domination number was introduced by Brešar, Henning, and Rall [1] was studied by several authors (see, for example [2,3,4,5,6,7,8,9,10,11,12,13,14,15]).
For graphs F and G, we let denote the Cartesian product of F and G. Vizing [16] conjectured that for arbitrary graphs F and G, . This conjecture is still open, and the domination number or its related invariants of are extensively studied with the motivation from Vizing’s conjecture.
Concerning the k-rainbow domination number of , one problem naturally arises: Given two graphs F and G under some conditions, determine for all k. In [3], the authors determined for .
In this paper, we examine grid graphs , and determine the value for and all n, where is the path of order m.
2. 2-Rainbow Domination Number of
We write and let (see Figure 1). A 2RDF f is given in three lines, where in the first line there are values of the function f for vertices , in the second line of the vertices , and in the third line of the vertices (see Figure 2). Furthermore, we use to encode the sets .
Figure 1.
The grid graph .
Figure 2.
A 2RDF of .
To provide a complete answer, we need the following fact that can easily be proved as an exercise.
Fact 1.
Theorem 1.
For , .
Proof.
First, we present constructions of a 2RDF of of the desired weight.
- :
- :
- :
- :
- :
- :
- :
- :
To show that these are also lower bounds, we prove there is a -function, f such that for every , . Let and f be a -function such that the cardinality of is as small as possible. We claim that . Suppose, to the contrary, that and let s be the smallest positive integer for which . Then, . Then, we consider the following cases.
- Case 1.
- (the case is similar).Then, we have and the function g defined by , , , and otherwise, is a 2RDF of of weight at most , which contradicts the choice of f.
- Case 2.
- ( is similar).Then, and the function g defined by , , , , and otherwise, is an 2RDF of of weight at most , which contradicts the choice of f.
- Case 3.
- .Since , then . First, let . We may assume that . It is easy to see that the function g defined by , , , and otherwise, is an 2RDF of of weight at most , which contradicts the choice of f. Now, let ( is similar). We may assume that . Hence, the function g defined by , , , , and otherwise, is an 2RDF of of weight , which is contradicting the choice of f. Therefore, .
We can see that for every , if , then . In addition, there is the function f such that, if ( is similar), then and and if ( is similar), then .
If and , then
If and , then
If and , then
Thus, . □
3. 3-Rainbow Domination Number of
As in the previous section, a 3RDF is given in three lines and we use to encode the sets .
To provide a complete answer, we need the following fact.
Fact 2.
Theorem 2.
For ,
Proof.
First, we present constructions of a 3RDF of of the desired weight.
- :
- :
- :
- :
To show that these are also lower bounds, we prove there is a -function, f that satisfies the following conditions:
- For every , ,
- For every , if , then . In particular, if , then ,
- and .
First, we show that for every -function f, when . Let and f be a -function and . We claim that . Assume to the contrary that . Then, we consider the following cases.
- Case 1.
- (the case is similar).Then, we have and it is easy to see that the function g defined by , , , , , and otherwise, is an 3RDF of of weight less than , which is a contradiction.Let s be the smallest positive integer for which . Then, and .
- Case 2.
- ( is similar).Then, the function g defined by , , , , , , and otherwise, is an 3RDF of of weight less than , which is a contradiction.
- Case 3.
- .The function g defined by , , , , , , , and otherwise, is an 3RDF of of weight less than , which is a contradiction. Therefore, .
Now, let f be a -function. It is easy to see that, if , then when .
Finally, we show that there is -function f such that ( is similar). Let f be a -function such that . If ( is similar), then , and . We may assume that . It is easy to see that the function g defined by , , and otherwise, is an 3RDF of of weight less than , which is a contradiction. Now, let . Then, , and . It is easy to see that the function g defined by , , , , , and otherwise, is an 3RDF of of weight .
Hence, there is a -function, f that satisfies the following conditions:
- For every , ;
- For every , if , then ; and
- and .
If n is odd, then
Then, when n is odd. Now, let n is even. Then, there is such that . Hence,
Therefore, when n is even. □
4. 4-Rainbow Domination Number of
As above, a 4RDF is given in three lines and we use to encode the sets .
To provide a complete answer, we need the following fact.
Fact 3.
Theorem 3.
For , .
Proof.
First, we show that . To do this, we present constructions of a 4RDF of of the desired weight.
- :
- :
- :
- :
To prove the inverse inequality, we show that every -function f satisfies the following conditions:
- For every , ;
- For every , if , then ; and
- and .
First, we show that for every -function f, when . Let and f be a -function and . We claim that . Assume to the contrary that . Then, we consider the following cases.
- Case 1.
- (the case is similar).Then, we have and the function g defined by , , , , , and otherwise, is an 4RDF of of weight less than , which is a contradiction.Let . Then, and .
- Case 2.
- ( is similar).The function g defined by , , , , , , and otherwise, is an 4RDF of of weight less than , which is a contradiction.
- Case 3.
- .Then, it is easy to see that the function g defined by , , , , , , , and otherwise, is an 4RDF of of weight less than , which is a contradiction. Therefore, .
Now, let f be a -function. It is easy to see that, if , then when .
We show that for every -function f ( is similar). Let f be a -function such that . If ( is similar), then , and . We may assume that . The function g defined by , , and otherwise, is an 4RDF of of weight less than , which is a contradiction. Now, let . Then, , and . The function g defined by , , , , , and otherwise, is an 4RDF of of weight less than , which is a contradiction.
Hence, every -function f satisfies the following conditions:
- For every , ;
- For every , if , then . In particular ; and
- and .
Hence,
Hence, . □
Author Contributions
R.K. contributes for supervision, methodology, validation, project administration and formal analysing. N.D., J.A., Y.W., J.-B.L. contribute for resources, some computations and wrote the initial draft of the paper which were investigated and approved by Y.W., X.W., J.-B.L., and J.A. wrote the final draft.
Funding
This research was funded by the National Natural Science Foundation of China (Grant No. 11701118), Guangdong Provincial Engineering and Technology Research Center ([2015]1487), Guangdong Provincial Key Platform and Major Scientific Research Projects (Grant No. 2016KQNCX238), Key Supported Disciplines of Guizhou Province - Computer Application Technology (Grant No. QianXueWeiHeZi ZDXK [2016]20), and the Specialized Fund for Science and Technology Platform and Talent Team Project of Guizhou Province (Grant No. QianKeHePingTaiRenCai [2016]5609), the China Postdoctoral Science Foundation under Grant 2017M621579; the Postdoctoral Science Foundation of Jiangsu Province under Grant 1701081B; Project of Anhui Jianzhu University under Grant no. 2016QD116 and 2017dc03.
Conflicts of Interest
The author declares no conflict of interest.
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