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Abstract
Radio -coloring of graphs is one of the variations of frequency assignment problem. For a simple connected graph
and a positive integer
, a radio
-coloring is an assignment
of positive integers (colors) to the vertices of
such that for every pair of distinct vertices
and
of
, the difference between their colors is at least
. The maximum color assigned by
is called its span, denoted by
. The radio
-chromatic number
of
is
. If
is the diameter of
, then a radio
-coloring is referred as a radio coloring and the radio
-chromatic number as the radio number, denoted by
, of
. The corona
of two graphs
and
is the graph obtained by taking one copy of
and
copies of
, and joining each and every vertex of the
copy of
with the
vertex of
by an edge. In this paper, for path
and cycle
,
, we determine
when
is even, and give an upper bound for the same when
is odd. Also, for
, we determine the radio number of
when
is even, and give both upper and lower bounds for
when
is odd.
1 Introduction
The problem of obtaining an assignment of frequencies to transmitters in some optimal manner is said to be Frequency Assignment Problem (FAP). Due to rapid growth of wireless networks and to the relatively scarce radio spectrum, the importance of FAP is growing significantly. One of the FAPs is the problem of assigning radio frequencies to transmitters at different locations without causing interference and reducing maximum frequency used. Hale Citation[1] has modeled FAP as graph labeling problem as follows. Transmitters are represented by vertices of a graph and those vertices corresponding to very close transmitters are joined by edges. Maximum interference occurs among transmitters corresponding to adjacent vertices. Now, assigning frequencies to transmitters is same as assigning positive integers (colors) to vertices.
Motivated by channel assignment to radio stations, Chartrand et al. Citation[2] have introduced radio -coloring of graphs. For a simple connected graph
and an integer
,
, a radio
-coloring of
is an assignment
of positive integers to the vertices of
such that
for all distinct vertices
and
of G. The maximum color assigned by
is called the span of
, denoted by
. The radio
-chromatic number
of
is the minimum of spans over all radio
-colorings of
. A radio
-coloring
of
with span
is referred as a minimal radio
-coloring of
. For some special values of
, there are some special names of radio
-colorings and as well as radio
-chromatic numbers in the literature. A radio
-coloring is a proper coloring of
and
. If
, the diameter of
, then a radio
-coloring is called a radio coloring and the radio
-chromatic number is said to be the radio number. Radio
-coloring and radio
-coloring are called antipodal coloring and nearly antipodal coloring respectively. The radio
-chromatic number and the radio
-chromatic number are called the antipodal number and the nearly antipodal number respectively.
If we see the literature of radio -coloring for operation between graphs, it is studied only for Cartesian product of graphs. Even though, radio
-coloring is defined for
, some authors have studied it for
as it is useful in finding radio
-chromatic number of larger graphs. Kchikech et al. Citation[3] have given lower and upper bounds for
when
. Also, they have given an upper bound for radio
-chromatic number of Cartesian product of two arbitrary graphs. Kim et al. Citation[4] have determined the radio number of Cartesian product of path
and complete graph
as
if
is even and
if
is odd. Ajayi and Adefokun Citation[5] have given bounds for the radio number for Cartesian product of path and star. Morris-Rivera Citation[6] has determined that
is
if
and is
if
. Saha and Panigrahi Citation[7] found the exact value of radio number of
, toroidal grid, when at least one of
and
is even. Kola and Panigrahi Citation[8] have given a lower bound for
for an arbitrary graph
and using this lower bound, they have given a lower bound for radio
-chromatic number of prism graph
. Further, they proved this lower bound is exact for the radio number of
, when
and
. The corona
of two graphs
and
is the graph obtained by taking one copy of
and
copies of
, and joining each and every vertex of the
copy of
with the
vertex of
by an edge. It is easy to see that
if
. Also,
.
In this article, for , we determine the radio number for
when
is even and we give lower and upper bounds for
when
is odd. Also, for
, we determine
when
is even and give lower and upper bounds for the same when
is odd.
2 Results
We use the following definition and lemma to get the span of a radio coloring.
Definition 2.1
For a graph of order
and a radio
-coloring
of
, let
be an ordering of vertices of
such that
,
. We define
,
.
Lemma 2.2
For any radio -coloring
of a graph
of order
,
where
s are as given in Definition 2.1 .
Proof
Since
,
. ■
To get a lower bound for the radio number of the graph under discourse, we use the lower bound technique for radio -coloring given by Das et al. Citation[9]. For a subset
of the vertex set of a graph
, let
be the set of all vertices of
adjacent to at least one vertex of
.
Theorem 2.3
Citation[9] If is a radio
-coloring of a graph
, then
where
and
’s are defined as follows. If
, then
, where
is a maximal clique in
. If
, then
, where
is a vertex of
. Recursively define
for
. Let
. The minimum and the maximum colored vertices among the vertices of
are in
and
respectively.
As a direct consequence of Theorem 2.3, we have the theorem below.
Theorem 2.4
For any graph and
, we have
Following theorem gives an upper bound for the radio number of corona of path and cycle . We refer the condition in the definition of radio
-coloring as radio
-coloring condition.
Theorem 2.5
For ,
Proof
To give an upper bound for the radio number, we define a radio coloring of . Let
be the path
and for
, let
be the copy of
in
corresponding to the vertex
of
.
Case 1: Let . To give a radio coloring, we first order the vertices of
as follows. Let
. We label the vertices of
,
, as
starting from the vertices of
and once all vertices of
are labeled, we label the vertices of
and so on, in such a way that
for
. We label the vertices
as
respectively. Now, we label the vertices of
,
, as
starting from the vertices of
and once all vertices of
are labeled, we label the vertices of
and so on, in such a way that
for
. Finally, we label the vertices
as
respectively.
Now, we define a coloring by
and for
,
. Next, we show that
is a radio coloring of
with span
. By definition of
,
satisfies radio coloring condition with
. Also it is easy to see that
. So, it remains to check the radio coloring condition for
and
. Suppose that
and
are on the same copy of
. Then by the ordering,
and
. Therefore,
Suppose that
and
are on different copies of
. Then
and one of
and
is
and the other is
. Therefore,
Suppose that
is on a copy of
and
is on
. Then
or
. If
, then
,
and
. Therefore,
If
, then
,
and
. Therefore,
Suppose that
is on path
and
is on a copy of
. Then
,
,
and
. Therefore,
Suppose both
and
are on
. Then
and one of
and
is
and the other is
. Therefore,
Therefore is a radio coloring of
. From the definition of
, we have
. Since the sequence of distances
is such that the
terms
repeated
times, that is, up to
,
and an alternating sequence of
and
from
to
, we have
Now, by Lemma 2.2,
.
Case 2: Let and
be even. As in Case 1, here also first we order the vertices of
. Let
. We label
as in Case 1 starting from the vertices of
ending after labeling
vertices of
. We label the vertices
as
respectively. Now, we label
as in Case
starting from the vertices of
ending after labeling all the vertices of
. Finally, we label the vertices
as
respectively.
Now, we define a coloring by
and for
,
Checking the radio coloring condition for and
is similar to the previous case except for the case that both
and
are on same copy of
. Then we have either
or
. As in the previous case, we can check the condition if
. Suppose that
. Since only one of
and
is even, by the definition of
, we have either
or
. Therefore,
Hence
is a radio coloring. By the definition of
, we get
and by the ordering of vertices, we have
. Now, by Lemma 2.2, we have
Case 3: Let
and
be odd. First we order the vertices of
, similar to Case 2, with some modification. We label
as in Case 2 starting from the vertices of
ending after labeling
vertices of
. We label the vertices
as
,
respectively. Now, we label
, starting from the vertices of
ending after labeling all the vertices of
as in Case 1. Finally, we label the vertices
as
respectively.
Now, we define a coloring by
and for
,
As in Case 2, we can show that is a radio coloring. Using Lemma 2.2,
. ■
Example 2.6
The three cases of Theorem 2.5 are illustrated in .
Fig. 1 The ordering vertices of and the radio coloring of
given in Case 1 of Theorem 2.5.
![Fig. 1 The ordering vertices of P4⊙C6 and the radio coloring of P4⊙C6 given in Case 1 of Theorem 2.5.](/cms/asset/c9eeda26-bb35-4e7c-916e-c769bbde3471/uakc_a_1759373_f0001_b.jpg)
Fig. 2 The ordering vertices of and the radio coloring of
given in Case 2 of Theorem 2.5.
![Fig. 2 The ordering vertices of P5⊙C6 and the radio coloring of P5⊙C6 given in Case 2 of Theorem 2.5.](/cms/asset/403b0bd9-3af6-46e6-a048-9c94a1caee9b/uakc_a_1759373_f0002_b.jpg)
Fig. 3 The ordering vertices of and the radio coloring of
given in Case 3 of Theorem 2.5.
![Fig. 3 The ordering vertices of P5⊙C5 and the radio coloring of P5⊙C5 given in Case 3 of Theorem 2.5.](/cms/asset/bc02ab64-5c86-49ba-8276-d75c0346b14d/uakc_a_1759373_f0003_b.jpg)
Theorem 2.7
If and
, then
.
Proof
To show , we use Theorem 2.4. Let
be the path
. We choose
. Then we get,
, for
,
and
. Now, by Theorem 2.4, we have
Therefore,
. ■
Theorem 2.8
If and
, then
.
Proof
Let be the path
. By choosing
and using Theorem 2.4, we get the required lower bound. ■
In the remaining part of the paper, we determine the radio number of when
is even. For
odd, we give upper and lower bounds for the same. It is easy to see that
is a subgraph of
.
Theorem 2.9
If and
, then
.
Proof
Since is a subgraph of
, by Theorem 2.5, we have
for
. For
, we do exactly same as in Case 1 of Theorem 2.5 and get
. Now, to get the lower bound for
, we choose
same as in the proof of Theorem 2.7 and we get
. ■
Following theorem gives upper and lower bounds for when
is odd.
Theorem 2.10
If and
, then
and
.
Proof
Since is a subgraph of
, by Theorem 2.5, we have
if
is even and
if
is odd. For
, we do exactly same as in Case 2 of Theorem 2.5 and get
. Now, to get the lower bound for
, we choose
same as in the proof of Theorem 2.8 and obtain
. ■
References
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