Published Online: September 2016 http://dx.doi.org/10.17654/MS100081305
Volume 100, Number 8, 2016, Pages 1305-1316 ISSN: 0972-0871
Received: May 13, 2016; Accepted: June 29, 2016 2010 Mathematics Subject Classification: 05C12, 05C15.
Keywords and phrases: locating-chromatic number, caterpillar, firecracker graph. Communicated by K. K. Azad
ON THE LOCATING-CHROMATIC NUMBERS OF
NON-HOMOGENEOUS CATERPILLARS
AND FIRECRACKER GRAPHS
Asmiati
Department of Mathematics
Faculty of Mathematics and Natural Sciences Lampung University
Jl. Brojonegoro No. 1, Gedung Meneng Bandar Lampung
Indonesia.
e-mail: asmiati308@yahoo.com
Abstract
We determine the locating-chromatic numbers of non-homogeneous caterpillars and firecracker graphs.
1. Introduction
The notion of locating-chromatic number of a graph was introduced by Chartrand et al. [8]. Let G be a finite, simple, and connected graph. Let c be a
proper k-coloring of G and Π =
{
C1,C2,...,Ck}
be a partition of V( )
Ginduced by c on V
( )
G , where Ci is the set of vertices receiving color i. Thecolor codecΠ
( )
v of v is the ordered k-tuple(
d(
v,C1) (
,d v,C2)
,...,d(
v,Ck)
)
,have distinct color codes, then c is called a locating-chromatic k-coloring of
G (k-locating coloring, in short). The locating-chromatic number, χL
( )
G isthe smallest k such that G has a locating k-coloring.
Chartrand et al. [8] determined the locating-chromatic number for paths, cycles, complete multipartite graphs and double stars. Behtoei and Omoomi [7] discussed the locating-chromatic number for Kneser Graph. Specially for amalgamation of stars, Asmiati et al. [1, 4] determined locating-chromatic number for homogeneous amalgamation of stars and non-homogeneous amalgamation of stars, respectively. Furthermore, the locating-chromatic number of the operation of two graphs is discussed by Baskoro and Purwasih [6]. They determined the locating-chromatic number for a corona product of two graphs.
Chartrand et al. [8] characterized graphs have locating-chromatic number .
1 −
n They also determined graphs whose locating-chromatic numbers are
bounded by n−2. Moreover, Asmiati and Baskoro [3] characterized all maximal graphs containing cycle. In general, characterization of all tress with locating-chromatic number 3 is given in Baskoro and Asmiati [5].
Asmiati et al. [2] determined the locating-chromatic number for homogeneous firecracker graphs, Motivated by these results, we determine the locating-chromatic numbers of non-homogeneous caterpillars and firecracker graphs.
The following results were proved by Chartrand et al. in [8]. We denote
the set of neighbors of a vertex v in G by N
( )
V .Theorem 1 [8].Let c be a locating-coloring in a connected graph G =
(
V, E)
. If u and v are distinct vertices of G such that d(
u, w)
= d(
v, w)
for all w∈V( ) {
G − u, v}
, then c( )
u ≠ c( )
v . In particular, if u and v are non-adjacent vertices of G such that N
( )
u = N( )
v , then c( )
u ≠ c( )
v .Corollary 1 [8]. If G is a connected graph containing a vertex adjacent
Corollary 1 gives a lower bound for the locating-chromatic numbers of a general graph G.
2. Locating-chromatic Number of Non-homogeneous Caterpillar
In this section, we discuss about the locating-chromatic number of non-
homogeneous caterpillar. Let Pm be a path with V
( ) {
Pm = x1, x2,..., xm}
and E
( ) {
Pm = x1x2, x2x3,..., xm−1xm}
. A non-homogeneous caterpillar is obtained by connecting ni pendant vertices(
aij, j =1, 2,..., ni)
to oneparticular vertex xi of path Pm, where 1≤ i≤ m, which we denote by
(
m;n1, n2,..., nm)
.C The non-homogeneous caterpillar C
(
m;n1, n2,..., nm)
consists of vertex set V
(
C(
m;n1, n2,..., nm)
) {
= xi|1≤i ≤ m} {
∪ aij|1≤i}
i
n j
m ≤ ≤
≤ ,1 and edge set E
(
C(
m;n1, n2,...,nm)
) {
= xixi+1|1≤ i≤ m} {
1 ,1}
.1 xiaij| ≤ i ≤ m ≤ j ≤ ni
− ∪
Let 1, , i n
K with the vertex xi as the center, be a subgraph of
(
m;n1, n2,...,nm)
.C We denote the set of vertices and edges by
(
)
=i n
K V 1,
{
aij|1≤ j≤ni} { }
∪ xi and E(
K1,ni) {
= xiaij|1≤ j≤ni}
, respectively. Thus,(
m n n nm)
C ; 1, 2,..., contains m stars i n
K1, with xi as a center. If nmax =
{
, ,...,}
,max n1 n2 nm then subgraph
max
, 1n
K is called the maximum star
subgraph in the non-homogeneous caterpillar C
(
m; n1, n2,..., nm)
. If thereare p subgraphs ,
max
, 1n
K then every subgraph, from left to right, are denoted
by 1i,n , maks
K where 1≤ i ≤ p.
Definition 1. Let K1,ni, K1,nj ⊂C
(
m;n1,n2,..., nm)
, where 1≤ i ≠ j.
m
≤ If ni =nj ≠ nmax, such that
(1) d
(
xi, xm)
= d(
xj, xm)
, with xm is the center of ,max
, 1n
(2) d
(
xi, x0)
= d(
xj, xp)
, with x0 and xp, x0 ≠ xp are the centers ofK be the maximum star subgraph of
(
m n n nm)
n the locating-chromatic number of non-homogeneous caterpillar
(
m n n nm)
Proof. First we determine the trivial lower bound of
(
m n n nm)
of the subgraphs from left to right as ,
d. Let A1 be an open interval before 1, , 1
open interval after .
max
f. Identify subgraph i
by colors that are associated with T1, respectively.
• If i n
K1, and j n
K1, lie in the same interval, say Ap but they do not
have the same distance, then cΠ
( )
u ≠ cΠ( )
v because they have different distance to Cp. But, if they have the same distance, theircolor codes differ in the ordinate of colors xi and xj.
• If one of
{
ni, nj}
is nmax, say ni = nmax and nj < nmax, then thecolor codes of u and v differ in color of leaves of i n
K1, not contained
in .1, i n
K
• If
(
)
j n i V K
x ∈ 1, and v have the same color, then cΠ
( )
xi contains atleast two components of value 1, whereas cΠ
( )
v contains exactly one component of value 1. Thus, cΠ( )
xi ≠ cΠ( )
v .From all the above cases, we see that the color codes for all vertices in
(
m n n nm)
C ; 1, 2,..., for p ≤ nmax +1, are different, thus c is a
locating-coloring. So, χL
(
C(
m;n1,n2,...,nm)
)
≤ nmax +1, for p ≤ nmax +1.Figure 1. A minimum locating-coloring of C(9; 2, 3, 1, 1, 3, 1, 2, 3, 3).
Next, we show the lower bound of C
(
m;n1, n2,...,nm)
for p > nmax. 1
+ By Corollary 1, we have that χL
(
C(
m;n1, n2,...,nm)
)
≥ nmax +1.However, we will show that
(
nmax +1)
colors are not enough. For acontradiction, assume that there exists a nmax +1-locating coloring c on
(
m n n nm)
C ; 1, 2,..., for p > nmax +1. Since p > nmax +1, there are two i,
Therefore the color codes of xi and xj are the same, a contradiction. So,
(
)
(
; 1, 2,...,)
≥ max +2,χL C m n n nm n for p > nmax +1.
To show that χL
(
C(
m; n1,n2,...,nm)
) (
≤ nmax +2)
, consider thelocating-coloring c on C
(
m;n1, n2,...,nm)
as follows:• c
( )
l11 = nmax +2.• The color of vertices xi are:
( )
⎩ ⎨ ⎧ =. even if 2
, odd if 1
i i x
c i
• Leaves, for ni =1, c
( )
ni =3, whereas for ni ≥ 2,{ ( )
c aij |j =1,2,}
,...,ni are colored by S ⊆
{
1, 2,...,nmax +1} ( )
\{
c xi}
for any i.Since there is only one vertex at the end of the longest path, which is
colored by nmax +2, the color codes of all vertices are different. Therefore,
c is the locating-chromatic coloring on C
(
m;n1, n2,..., nm)
, and so(
)
(
; 1, 2,...,)
≤ max +2,χL C m n n nm n for p > nmax +1.
Figure 2. A minimum locating-coloring of C(11; 3, 1, 1, 3, 1, 2, 3, 3, 1, 3, 1).
3. Locating-chromatic Number of Non-homogeneous Firecracker Graphs
A non-homogeneous firecracker graph, ( ) n k k k n
F, 1, 2,..., is obtained by the
concatenation of n stars S i n
i
k , =1, 2,..., by linking one leaf from each star.
Let
(
,( , ,..., )) {
, , 1, 2,..., ; 1, 2,..., 2}
,2
1 k k = i i ij| = = i −
k
n x m l i n j k
F V
and
(
( ))
S is the maximum star subgraph of non-homogeneous firecracker
( , ,..., ).
S are called star subgraphs with the same distance.
Theorem 3. Let Skmax be the maximum star subgraph of Fn,(k1,k2,...,kn)
and p be the number of subgraphs .
max
k
S Then the locating-chromatic
number of ,( , ,..., ),
a. Find the number of subgraphs
max
k
S and denote it by p. Denote each
of the subgraphs from left to right by ,
max
i k
b. Vertices ,
2 respectively.
c. Vertices ,
open interval after .
max
colored by colors that correspond with T1, respectively.
i. If Ski lies in the interval Ak, where 3 ≤ k ≤ p+1, then every vertex
Next, we show that the color codes for all vertices in
• If ki = kj = kmax, then cΠ
( )
u ≠ cΠ( )
v because their color codesdiffer in ordinate of colors mi and mj.
• If Ski and Skj lie in different intervals, say Ap and Aq, then cΠ
( )
u( )
v cΠ≠ because they have different distances from Cp and Cq.
• If i k
S and j k
S lie in the same interval, say Ap but they do not have
the same distance, then cΠ
( )
u ≠ cΠ( )
v because they have different distance to Cp. But, if they have the same distance, their color codesdiffer in ordinates mi and mj.
• If one of
{
ki, kj}
is kmax, say ki = kmax and nj < kmax, then thecolor codes of u and v differ in color of leaf of , i k
S not contained in
. j k
S
• If xi ∈V
(
K1,nj)
and v lie in the same interval, say Ak, where c( )
xi( )
v ,c
= then cΠ
( )
xi and cΠ( )
v have different distance from Ck. So,( )
x c( )
v .cΠ i ≠ Π But, if they lie in different intervals, say Ar and As, then cΠ
( )
xi ≠ cΠ( )
v because they have different distances from Crand Cs.
From all above cases, we see that the color codes for all vertices in
, ..., , , ,k1 k2 kn n
F for p ≤ kmax −1 are different, thus c is a locating-coloring.
So,
(
,( , ,..., ))
max 1,2
1 ≤ −
χ F k
n k k k n
L for p ≤ kmax −1.
We will show the lower bound for p > kmax −1. By Corollary 1, we
have that χ
(
F ,( 1, 2,..., ))
≥ kmax −1. nk k k n
L However, we will show that kmax
1
− colors are not enough. For a contradiction that there exists a
(
kmax −1)
-locating coloring c on ,( , ,..., ),
2 1 k kn k
n
, 1
− there are two i, j, i ≠ j, such that
{
c( )
lih |h =1, 2,..., kmax −2}
={ ( )
c ljl |l =1, 2,..., kmax −2}
. Therefore, the color codes of mi and mj arethe same, a contradiction. So, χL
(
Fn,(k1,k2,...,kn))
≥ kmax for p > kmax −1.Next, we determine the upper bound of ( ) n
χ consider the locating-coloring c
on ( )
It is easy to verify that the color codes of all vertices are different.
Therefore, c is a locating-chromatic coloring on ,( , ,..., ),
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