1. Introduction
Let be a simple connected and undirected graph with vertex set and edge set . The labeling of a graph is a mapping that carries a set of graph elements (vertices or edges or both) onto a set of numbers (usually positive integers). In a a complete survey on labelings [
1], many types of graph labelings are studied.
In 2003, Miller et al. [2] introduced “ -vertex-magic labeling” which is obtained by combining magic labelings and distance labelings. The weight of a vertex is defined as: , where is the open neighbourhood of
In 1988, Chartrand et al. [3] introduced the notion of irregular labeling. In this labeling, we determine the weights (the sum of edge labels incident
to a vertex) of each vertex are distinct such that minimum largest label that we can assign to the edges of a graph. This minimum largest label is known as irregularity strength of the graph.
Slamin [4] combined the distance and the irregular labeling to be the distance irregular vertex -labeling. For a graph a -labeling
to be a distance irregular vertex
-labeling of the graph if for every two different vertices
and of one has where the weight of
a vertex in the labeling is where is the set
of neighbors of . The minimum
for which the graph has a distance irregular vertex -labeling is known as distance irregularity strength of it is denoted as
Slamin [4] determined the distance irregularity strength for complete graphs, paths, cycles and wheels . Bong et al. [5] determined the distance irregularity strength of cycle and wheel for .
2. Main Results
Some important observations in [
4] regarding the distance irregular labeling are:
Observation 1. [4]
Let and be any two distinct vertices in a connected graph If and have identical neighbours, i.e., then
has no distance irregular vertex labeling.
Observation 2. [4]
Let and be two adjacent vertices in a connected graph If then the labels of and must be distinct, that is,
From these Observations, one can easily see that not all graphs have distance irregular vertex labelings, for example complete bipartite and multipartite graphs, and trees that
contain a vertex with at least two leaves. The lower bound for distance irregularity strength for connected graphs in general is given by Slamin [
4] in Lemma 1.
Lemma 1.
Let be a connected graph on vertices with minimum degree
and maximum degree and such that there is no vertex having identical neighbors.
Then
This bound is improved in the following theorem.
Theorem 3.
Let be a graph with maximum degree and minimum degree then
where represents number of vertices of degree in
Proof.
Let be any connected graph with , and, represents the maximum degree, minimum degree and number of vertices of degree in . Let Assume that for some In any distance irregular vertex labeling on the smallest weight among all vertices of degree and is at least and the largest of them is at least Thus the value of will be minimum if the largest weight is at the vertex of degree Since the weight of any vertex of
degree is the sum of positive labels, so at least one label is at least Therefore the minimum value of the is at least . This gives
and we are done.
The corona product of two graphs and , denoted by is a graph obtained by taking one copy of (which has vertices) and copies of and then joining the -th vertex of to every vertex in In the next two Theorems, we determined the distance irregularity strength of the corona product of cycle and path with complete graph
Theorem 4. Let be the graph of corona product of cycle and then distance irregularity strength of is for
Proof.
The vertex set and edge set of are
respectively. The graph contains vertices of degree one and vertices of degree three. The lower bound of follows from Theorem 3.
To show that is an upper bound for distance irregularity strength of we describe a vertex -labeling for as follows:
This labeling gives the weight of the vertices as follows:
It is easy to check that the weight of the vertices are distinct. The above constructions show that
Combining with the lower bounds, we conclude that
Theorem 5. Let be the graph of corona product of path and then distance irregularity strength of is for
Proof.
The vertex set and edge set of are
respectively. The graph contains vertices of degree one, two vertices of degree two and vertices of degree three. The lower bound of follows from Theorem 3.
To show that is an upper bound for distance irregularity strength of we describe a vertex -labeling for as follows:
This labeling gives the weight of the vertices as follows:
It is easy to check that the weight of the vertices are distinct. The above constructions show that
Combining with the lower bounds, we conclude that
The friendship graph is a set of triangles having a
common central vertex, and otherwise disjoint. In the next Theorem, we determined the distance irregularity strength of friendship graph
Theorem 6. The distance irregularity strength of friendship graph is for
Proof.
The friendship graph has vertices ( vertices of degree and one vertex of degree ) and edges.
The vertex set and edge set of are
respectively.
From Theorem 3, we get
Let be the distance irregular vertex labeling. Let be two distinct vertices on different triangle of the friendship graph Then there exist two different vertices other than central vertex such that If then a contradiction.
This implies that the labels of all vertices of graph other than central vertex are distinct. Hence, the lower bound of is as follows:
To show that is an upper bound for distance irregularity strength of we describe a vertex -labeling for as follows:
This labeling gives the weight of the vertices as follows:
It is easy to check that the weight of the vertices are distinct. The above constructions show that
Combining equation () and equation (), we get
This completes the proof.
The Jahangir graph consists of a cycle and one additional vertex which is adjacent to vertices of at distance to each other on The Jahangir graph was introduced by Tomescu in [6]. The Jahangir graph is also known as the gear graph, see Ma and Feng [7], and also Gallian [1].
For the Jahangir graph is wheel It was shown in [4,5] that In the next theorem, we determine the
distance irregularity strength of Jahangir graph for and
Theorem 7. The distance irregularity strength of Jahangir graph is for and
Proof.
The Jahangir graph has vertices ( vertices of degree vertices of degree and one vertex of degree ) and edges.
The vertex set and edge set of are
respectively.
From Theorem 3, we get Let
The lower bound of is as follows:
To show that is an upper bound for distance irregularity strength of we describe a vertex -labeling for as follows:
Case 1:
This labeling gives the weight of the vertices as follows:
Case 2:
This labeling gives the weight of the vertices as follows:
It is easy to check that the weight of the vertices are distinct. The above constructions show that
Combining equation (3) and equation (4), we get
This completes the proof.
Helm graph is the graph obtained from a wheel by attaching a pendant edge at each
vertex of the -cycle. Thus the vertex set of is
and the edge set of is with indices
taken modulo .
In [
8,
9], Ahmad
et. al determined the total vertex irregularity strength of Helm graph and union of isomorphic Helm graph
In the next Theorem, we determined the distance irregularity strength of Helm graph , for
Theorem 8. For the distance irregularity strength of helm graph is
Proof.
Recall that the vertex set and edge set of helm are
The helm graph contains vertices of degree 1, vertices of degree and one vertex of degree As thus the
lower bound of from Theorem 3 is as follows:
To show that we define a labeling for as follows:
If is odd, then
If is even, then
This labeling gives the weight of the vertices as follows:
If is odd, then
If is even, then
It is easy to check that the weight of the vertices are distinct. The above constructions show that
Combine with equation (5), we get
This completes the proof.
3. Conclusion and Open Problems
In this paper, the lower bound for the distance irregular labeling for any graphs is improved and determined the exact values of distance irregularity strength of the corona product of cycle path with and propose the following open problems.
Problem 1.
Let be the graph of corona product of cycle and complete graph then find the exact value of the distance irregularity strength of for
Problem 2.
Let be the graph of corona product of path and complete graph then find the exact value of the distance irregularity strength of for
Also the exact value of distance irregularity strength of the friendship graph , Jahangir graph for is determined and suggest the following open problems.
Problem 3.
For and find the exact value of distance irregularity strength of Jahangir graph
Problem 4.
For find the exact value of distance irregularity strength of Jahangir graph
Conflicts of Interest:
”The author declares no conflict of interests.”