Abstract

Let be a simple and connected graph. A set is called a matching if no two edges of have a common endpoint. A matching is maximal if it cannot be extended to a larger matching in . The smallest size of a maximal matching is called the saturation number of . In this paper, we confirm a conjecture of Alikhani and Soltani about the saturation number of corona product of graphs. We also present the exact value of where is a randomly matchable graph.

1. Introduction

All graphs considered in this paper are connected and simple; that is, they do not have loops and multiple edges [13]. For notation and graph theory terminology, we ingeneral follow [11, 12, 15].

Let be a graph. A collection of edges is called a matching of if no two edges of are adjacent. The vertices incident to the edges of a matching are said to be saturated by (or -saturated); the others are said to be unsaturated (or -unsaturated). A matching whose edges meet all vertices of is called a perfect matching of . If there does not exist a matching in such that , then is called a maximum matching of . A matching is maximal if it cannot be extended to a larger matching in . The cardinality of any maximum matching, , and the cardinality of any smallest maximal matching in , , are called the matching number and the saturation number of , respectively.

If any maximal matching in is also perfect (i.e., if ), then is called randomly matchable.

Smallest maximal matchings have a wide range of applications in real-world problems. For example, application of smallest maximal matchings related to a telephone switching network was presented in [4]. Finding a smallest maximal matching is NP-hard even for especial family of graphs (such as planar graphs), see [46]. Also, one can find some bounds for this invariant in [710]. See [10, 12,13] for more details on this topic. See [1113] Recently, Alikhani and Soltani presented the following conjecture about the saturation number of corona product of graphs.

Conjecture. [14] Let and be two graphs and . Then,where is the size of a maximum matching of the graph and is the number of -unsaturated vertices of .

In this paper, we confirm this conjecture. We also present some more efficient results on the saturation number of corona product of graphs.

For two graphs, and . The corona product of and , denoted by , is obtained from one copy of and copies of by joining each vertex of the copy of , , to the vertex of , cf. [15]. In the following, for , shows the copy of in corresponding to .

2. Main Results

The first result of this section is the proof of the conjecture mentioned in the previous section.

Theorem 1. Let and be two graphs and . Then,where is the size of a maximum matching of the graph and is the number of -unsaturated vertices of .

Proof. First, we prove the upper bound. Let be a maximum matching of , and be a maximal matching in that . Also, suppose that vertices are -unsaturated vertices of . There are two cases for .Case 1. is a randomly matchable. Suppose that is a maximal matching in that . Setwhere is the copy of , , in . Clearly, is a maximal matching in . Thus,Case 2. is not a randomly matchable. Thus, is not a perfect matching. Suppose that is a -unsaturated of . Setwhere is the copy of in corresponding to . Easily one can check that is a maximal matching in . Therefore,Now, we prove the lower bound. Let be a maximal matching of . We consider two below cases for .Case 1. does not have any edges so that has one end in and one end in a copy of . Hence, , and consequently, .Case 2. Suppose be all edges of such that and . Then, for each , we have . Also, for each , we have . On the other hand,Therefore, .
The next theorem gives the exact value of for some family of graphs.

Theorem 2. Let be a graph of order . If is a randomly matchable graph, then

Proof. By Theorem 1, we have . Then, it is sufficient to prove that . Suppose is the copy of in corresponding to . Let is a maximal matching of , and is the copy of , , in . Assume that and . Set(For more illustration, see Figure 1 which is . Suppose . Consider the maximal matching . Since is a randomly matchable graph, then ). According to this fact that is a randomly matchable graph, then is a maximal matching in . Thus,On the other hand, . Therefore, .

Data Availability

No data were used to support this study.

Conflicts of Interest

The authors declare that they have no conflicts of interest.