1. Introduction
Let be a finite, simple, and undirected graph of order n.
In 1994, Vilfred introduced distance magic labeling in his Ph.D. thesis [
1]. A
distance magic labeling of a graph
G is a bijection
such that at any vertex
x,
the weight of
x,
is constant, where
is the open neighborhood of
x, i.e., the set of vertices adjacent to
x. In 2013, the notion of distance antimagic labeling of a graph
G was then introduced by Kamatchi and Arumugam [
2]. A bijection
is called a
distance antimagic labeling of graph
G if for two distinct vertices
x and
y their weights are also distinct, i.e.,
. A graph admitting a distance antimagic labeling is called a
distance antimagic graph. In the same paper, Kamatchi and Arumugam conjectured the following.
Conjecture 1 ([
2])
. A graph G is distance antimagic if and only if G does not have two vertices with the same open neighborhood. Some graphs supporting the truth of Conjecture 1 are, among others, the path
, the cycle
(
), the wheel
(
) [
2], and the hypercube
(
) [
3]. In 2016, Llado and Miller [
4] utilized Combinatorial Nullstellensatz to prove that a tree with
l leaves and
vertices is distance antimagic.
In 2017, Arumugam et al. [
5] and Bensmail et al. [
6] introduced a weaker notion of antimagic labeling, called
local antimagic labeling, where only adjacent vertices must be distinguished. It was conjectured in both articles that any connected graph other than
admits local antimagic labeling. This conjecture has been completely settled by Haslegrave [
7] using the probabilistic method.
A generalization of the distance antimagic labeling was proposed in [
8]. Suppose that
is a set of distances and
is the
D-neighborhood of the vertex
x. A
D-antimagic labeling of a graph
G is a bijection
such that the
weight is distinct for each vertex
x. It was conjectured that a graph admits a
D-antimagic labeling if and only if it does not contain two vertices having the same
D-neighborhood.
In the rest of the paper, we shall prove that Conjecture 1 is true for some product graphs. We consider the three fundamental graph products (Cartesian, strong, and direct products), the lexicographic product, and the corona product. First,
Section 2 provides definitions and notations of the graph products under consideration. Next,
Section 3 considers distance antimagic graphs obtained from Cartesian, strong, and direct products. Then, in
Section 4, we present distance antimagic lexicographic product graphs. Finally, in
Section 5, we present distance antimagic corona product graphs. Since the corona product is not commutative (or sometimes called not symmetric) in general, we shall investigate the consequence of that property to the antimagicness of the product graphs.
2. Graph Products: Definition and Notation
This section presents definitions of the graph products considered in this paper. We start with the three fundamental graph products: Cartesian, strong, and direct. In all three products, the product of graphs
G and
H is another graph whose vertex set is the Cartesian product of sets
. However, each product has different rules for adjacencies. All notations of the fundamental graph products are taken from [
9].
Definition 1. The Cartesian product of G and H, denoted by , is the graph with and two vertices and are adjacent if and only if either
- 1.
and is adjacent to in H, or
- 2.
and u is adjacent to v in G.
Definition 2. The direct product of G and H, denoted by , is the graph with and the two vertices and are adjacent if and only if u is adjacent to v and is adjacent to .
Definition 3. The strong product of G and H, denoted by , is the graph with , and the two vertices and are adjacent if and only if either
- 1.
u is adjacent to v, and is adjacent to , or
- 2.
and is adjacent to in H, or
- 3.
and u is adjacent to v in G.
Note that
and
are subgraphs of
. The Cartesian, the direct, and the strong products are both commutative (or sometimes called symmetric) and associative. Thus we can omit parentheses when dealing with products with more than two factors. Refer to
Figure 1 for examples of the three fundamental graph products.
The next product, the lexicographic product, although associative, is not commutative [
9]. An example for the lexicographic product is presented in
Figure 2.
Definition 4. The lexicographic product of graphs G and H, denoted by , is a graph with and the two vertices and are adjacent if and only if either
- 1.
and is adjacent to in H, or
- 2.
u and v are adjacent in G.
The final graph product under consideration is the corona product, which is generally not commutative and is never associative. For examples of the corona product, refer to
Figure 3.
Definition 5 ([
10])
. The corona product of G and H, denoted by , is the graph obtained by taking a copy of G and copies of H and joining the i-th vertex of G to every vertex in the i-th copy of H. In the upcoming sections, we frequently use the following property of graphs.
Definition 6. A graph G is called monotone if there exists a vertex labeling λ, i.e., a bijection , such that implies for every pair of distinct vertices in G.
It is obvious that every distance magic graph is monotone. An example of a non-distance magic but the monotone graph is the even path , where vertices are labeled with consecutive odd integers and are labeled with consecutive even integers. On the other hand, every complete graph of order at least 2 is non-monotone.
3. Distance Antimagic Graphs Obtained from Fundamental Graph Products
This section studies the distance antimagicness of graphs produced by three fundamental graph products: the Cartesian product, the strong product, and the direct product.
In [
2], Kamatchi and Arumugam posed whether the Cartesian product
is distance antimagic. A partial positive answer was given in [
11], where it was proven that
is distance antimagic. In the next two theorems, we answer the previous question for the cases of
.
Theorem 1. is distance antimagic if and only if .
Proof. It is obvious that is not distance antimagic. For the remaining values of n, we define a vertex labeling .
Let and use the following notations and .
Case 1. For
:
The weights induced by the labeling as mentioned above are:
Case 2. For
:
and thus
Case 3. For
:
which lead to
In all three cases, the weight of each vertex is distinct. Examples of the labelings for
can be seen in
Figure 4. □
Theorem 2. is distance antimagic if and only if .
Proof. Suppose that X and Y are the natural bipartition sets of . Let be a vertex labeling of where the vertices in X are labeled with and those in Y are labeled with . Define a labeling for by and .
We denote it by
, and
(see
Figure 5). Let
be the sum of all labels in
, which are
, and
. Then the vertex-weights in
are
Let u and v be two arbitrary vertices in and , respectively. If then , which is not zero. If , it is easy to check that by considering □
In the next theorem, we change the factor into and study the antimagicness of .
Theorem 3. For , is distance antimagic.
Proof. Let . In the following four cases, we define a vertex labeling and denote it by and .
Therefore, for
,
, and
. For
,
Case 2. For
:
and so
Case 3. For
or
:
Case 4. For , define a vertex labeling . Thus we obtain the following weights .
It is clear that the weights of the vertices are different in all cases. Examples of the labeling for
can be seen in
Figure 6. □
In [
12], it was proven that for any odd integer
,
is distance antimagic. The same paper also asked whether
is distance antimagic when
n is even. We then ask a more general question as in the following.
Problem 1. Is distance antimagic?
Our result is for distance magic instead of distance antimagic for the direct product.
Theorem 4. Let G and H be regular distance magic graphs, then is also distance magic.
Proof. Let and be distance magic labeling of G and H, respectively. Assume that G is on n vertices, and are the degree of vertices in G and H, respectively.
Define a labeling
for
as follows.
Then, we obtain the following vertex-weight for any vertex
.
Since and n are constant, then is constant for every vertex □
We conclude this section by presenting some sufficient conditions for the strong product to be distance antimagic.
Theorem 5. Let G be -regular and H be -regular, with . If G is distance magic and H is monotone, then is distance antimagic.
Proof. Let be a distance magic labeling of G with weigh , and n be the order of G. Let be a monotone labeling of H with weight .
Define a labeling
for
as
. Thus for any vertex
, we obtain the following vertex-weight.
Let
and
be two distinct vertices in
, with
. Then
□
In Theorem 5, H must be monotone for to be distance antimagic. In the following, we present an example of a non-monotone graph H, that is , where is distance antimagic.
Theorem 6. If G is regular and distance magic, then is distance antimagic.
Proof. Let be a labeling of with the vertex labeled i adjacent to the vertex labeled for . Let m be the order of G, r be the degree of vertices in G, and be a distance antimagic labeling of G.
Define a labeling
for
as
Suppose that
is the neighbor of
v in
, then,
Let
and
be two vertices in
with
. Then,
□
4. Distance Antimagic Graphs Obtained from the Lexicographic Product
This section studies distance antimagic labelings of graphs obtained from the lexicographic product. We start with two lemmas on the vertex-weight.
Lemma 1. Let G be an r-regular graph on n vertices and let f be any vertex labeling of G. Then, for two vertices in G,
Proof. Since
for
,
□
Lemma 2. Let G be an r-regular graph on n vertices and let f be any vertex labeling of G. Then, for two vertices in G, .
Proof. Since
for
, we have
□
Definition 7. Let G be an r-regular distance antimagic graph of order n and H be a graph. Suppose is a distance antimagic labeling of G and is labeling of H. For , letbe the subgraph of induced by . Define a labeling λ for by for .
An illustration for the notation of
is given in
Figure 7.
The following properties hold for the labeling of in Definition 7.
Lemma 3. Let . If is the sum of all labels in , then and
Definition 8. Let H be a graph with . Define a vertex labeling for H as follows. Now we are ready to prove our main result for the lexicographic product.
Theorem 7. Let G and H be regular graphs. If G is distance antimagic and H is monotone, then is distance antimagic.
Proof. Label vertices in H by in Definition 8. Let and . If , then is distance antimagic. If , then
By Lemma 2, □
If H is non-regular or non-monotone, in general, we do not know whether is distance antimagic or not. However, there exists a class of regular graphs H that is not monotone, where is distance antimagic, as presented in the next theorem.
Theorem 8. If G is a regular distance antimagic graph, then is also distance antimagic.
Proof. Let r and n be the degree of a vertex in G and the order of G, respectively. Label the vertices in by in Definition 8 and denote it by .
Choose two vertices
and
. If
,
is distance antimagic. If
,
By Lemma 1, □
In the next two theorems, we present examples of non-regular graphs H of which is distance antimagic.
Theorem 9. If G is a regular distance antimagic graph, then is also distance antimagic.
Proof. Let
n be the order of
G and
. For
, use Theorem 8. For
, define a labeling for
by
. By Lemma 3,
. Then, due to Lemmas 1 and 2
For
, use the labeling
from Definition 8 for
and the labeling
from Definition 7 for
. Let
and
where
.
By Lemma 2, □
Theorem 10. If G is a regular distance antimagic graph, then is also distance antimagic.
Proof. For use Theorem 8. For , let . Use a modification of for from Definition 8 where . By this labeling, is monotone. Following the proof of Theorem 7 and considering for , we obtain that is distance antimagic. □
5. Distance Antimagic Graphs Obtained from the Corona Product
In [
2], it was proven that
is distance antimagic for arbitrary graph
G. Thus, the following is an obvious consequence.
Corollary 1. Let G be a graph. Then is distance antimagic if and only if .
Since the corona product is not commutative, we present sufficient conditions that is distance antimagic in the following two theorems.
Theorem 11. If G is a distance antimagic graph of order n with , then is distance antimagic.
Proof. Let be a distance antimagic labeling of G and . Define a labeling for by for and . Then, and . Therefore, for distinct .
For
,
The left side of the last inequality is the maximum weight of any vertex in G. Hence, □
Examples of graphs satisfying the condition of Theorem 11 are paths and cycles with , distance antimagic cubic graphs with , and distance antimagic bipartite graphs with . If the graph G is regular and distance antimagic instead, we could prove that is also distance antimagic.
Theorem 12. If G is a distance antimagic regular graph, then is distance antimagic.
Proof. Suppose that and are the order, the degree, and a distance antimagic labeling of G, respectively. Define a labeling for by and for . Then, . Since u is adjacent to all vertices of G, then for all □
If we change the factor with , we obtain the following sufficient condition for to be distance magic.
Theorem 13. If G is r-regular distance antimagic graph on n vertices with , then is distance antimagic.
Proof. Let
be a distance antimagic labeling of
G and
. Define a labeling for
by
for
and
for
. By this labeling, the distinct vertex-weights of
and
are preserved. For
,
The right side of the last inequality is the maximum vertex-weight in , while the left one is . Hence, for □
Examples of graphs satisfying the sufficient condition of Theorem 13 are paths and cycles with and distance antimagic cubic graphs with . However, in general, the antimagicness of is still unknown and thus the following problem.
Problem 2. For , is distance antimagic?
In the last part of this section, we study the distance antimagicness of both
and
. In addition, we can find other results for corona product graphs in [
13], where it was proven that
is distance antimagic for
.
Theorem 14. If G is r-regular distance antimagic graph on n vertices with , then is distance antimagic.
Proof. The proof is similar to that of Theorem 13, by substituting with □
Theorem 15. If G is a monotone graph with a minimum degree of at least 3, then is distance antimagic.
Proof. Let
. Denote
as subgraph of
induced by
. Define a labeling for
by,
For arbitrary vertices
in
G, we have
For
two vertices in
G and
two vertices in
, we have
All the cases result in . Hence, there is no vertex in and having the same weight. □
To conclude, we ask for a natural generalization of Theorems 14 and 15.
Problem 3. For and an arbitrary graph G, are and distance antimagic?