On inclusive 1-Distance Vertex Irregularity Strength of Firecracker,
Broom, and Banana Tree
Ikhsanul Halikin, Ade Rizky Savitri, and Kristiana Wijaya
Graphs, Combinatorics, and Algebra Research Group
Department of Mathematics, Faculty of Mathematics and Natural Sciences
University of Jember (UNEJ), Jl. Kalimantan 37 Jember, Indonesia 68121
Keywords: Inclusive 1-Distance Vertex Irregular Labelling, Inclusive 1-Distance Vertex Irregularity Strength,
Firecracker, Broom, Banana Tree.
Abstract: Let k be a natural number and G be a simple graph. An inclusive d-distance vertex irregular labelling of a
graph G is a function 
 so that the weights at each vertex are different. Let v be a
vertex of G. The weight of v V(G), denoted by wt(v), is the sum of the label of v and all vertex labels up to
distance 1 from v. An inclusive 1-distance vertex irregularity strength of G, denoted by 
 is the
minimum k for the existence of an inclusive 1-distance vertex irregular labelling of a G. Here, we find the
exact value of an inclusive 1-distance vertex irregularity strength of a firecracker, a broom, anda banana
tree.
1 INTRODUCTION
Suppose that is an undirected and finite graph
without loop and parallel edges. For a vertex v in a
graph G, the degree of v with notation d(v) is the
number of edges in G that are incident to v. For two
vertices u and v in a graph G (not necessarily
distinct), a u v walk in G is defined as a sequence
of vertices and edges in G, starting with u and
ending at v such that consecutive vertices are
connected by an edge. A path defined as a u v walk
with different vertices. The length of the shortest
path from vertex u to vertex v is said to be a distance
from u to v and denoted by d(u,v) (see Chartrand,
Lesniak & Zhang, (2011) for another terminology).
The labelling in graph is one of research topics
introduced in the 1960s. The labelling of a graph is a
function from a set of graph elements (vertices or
edges or both) onto a set of numbers (usually natural
numbers) with certain condition. There are many
kinds of graph labelling that have been introduced
(see Gallian (2016) for a complete survey).
Chartrand et al. suggested the concept of an irregular
labelling in 1988. The problem of this labelling is
how to assign natural numbers label to the edges of a
graph so that the sum of edge labels at each vertex is
different. In this labelling also introduced a notion,
called irregularity strength, i.e. the minimum largest
label among all of the possible irregular assignments
of a graph (Chartrand et al., 1988).
In 2007, Bačá et al. introduced the similar
assignment but apply to both edges and vertices of a
graph. This labelling is called the irregular total k-
labelling. A total k-labelling is a mapping from the
vertex set and edge set to the set of natural numbers
. The minimum k for such labelling is said
to be the total irregularity strength. Furthermore,
Mirka, Rodger & Simanjuntak (2003) introduced
another kind labelling, which is called distance
magic labelling.
Motivated by Mirka and Bačá, Slamin (2017)
introduced a distance vertex irregular labelling of
graphs. A distance vertex irregular labelling of a
graph G is a function  
 such that
the weight of every vertex v in G is different. The
weight of a vertex, denoted by wt(v),is the
sum of the labels of all the vertices of distance1
from v. Moreover, Bong, Lin & Slamin (2017),
generalized concept of a distance irregular vertex
labelling to inclusive vertex irregular d-distance
vertex labelling. Inclusive in this labelling means
that the weight of the vertex v included the label of a
vertex v. The minimum k for the existence of this
labelling is said to bea distance irregularity strength
of G and denoted by 
. Furthermore, Bong,
Lin & Slamin (2017) obtained
, for G are a
path P
n
for n= 3k, , a star

and a double
228
Halikin, I., Savitri, A. and Wijaya, K.
On inclusive 1-Distance Vertex Irregularity Strength of Firecracker, Broom, and Banana Tree.
DOI: 10.5220/0008519802280232
In Proceedings of the International Conference on Mathematics and Islam (ICMIs 2018), pages 228-232
ISBN: 978-989-758-407-7
Copyright
c
2020 by SCITEPRESS Science and Technology Publications, Lda. All rights reserved
star  with . In the same paper, they
gave the lower bound for caterpillar, cycle and
wheel. In 2018, Bačá et al. determined the exact
value of the inclusive distance vertex irregularity
strength of a complete graph, complete bipartite
graph, path, fan, and cycle.
In this paper, we discuss an inclusive 1-distance
vertex irregular labelling and find the exact value of
an inclusive 1-distance vertex irregularity strength of
a firecracker, broom, and banana tree.
2 DEFINITION AND USEFUL
PROPERTIES
Before we start the further discussion, we will
present the definition and some useful properties of
an inclusive 1-distance vertex irregular labelling.
Definition 1.Let k be a natural number. An inclusive
d-distance vertex irregular labelling of a graph G is
a function  
  so that the weights
of two vertices u and v are different for each
. The weight of a vertex vV(G), denoted by
wt(v), is defined as the sum of the label of v and all
vertex labels up to distance d from v, namely




where  is distance from vertex u to v.
The smallest k for the largest labelling this
labelling is called an inclusive d-distance
irregularity strength of G and denoted by 
.
Since in this paper we take , we denote it with

. Not all graphs G have an inclusive 1-
distance irregularity strength of G, and we say that

= ∞.
Bong, Lin & Slamin (2017), gave the lower
bound of the inclusive 1-distance irregularity
strength of G, by the following lemma.
Lemma 1. For a connected graph G with n vertices,
δ,∆ as minimum and maximum degree, respectively
then 


.
Next, Bačá et al. (2018) proved the sufficient and
necessary condition for 
= ∞.
Lemma 2. For a connected graph G,
= if
and only if there exist two different vertices
 such that
 
  , where
N(u) is the set of all neighborhood of u(distance 1
from u).
As the firecracker, broom, and banana graphs are
the kind of the tree graph, that clearly not satisfy the
Lemma 2, so we can find the inclusive 1-distance
vertex irregular labelling of them. The definition of
firecracker, broom, and banana tree graphs are as
follow:
Definition2. A firecracker graph

is a graph
formed by connecting one vertex of degree one from
each of n copies of a star

.
Definition3. A broom 

is a graph formed from
identifying one end leaf of a path P
n
with the center
of a star

.
Definition4. A banana tree

is a graph obtained
from connecting one vertex of degree one from each
of n copies of a star

with a new vertex.
In this paper, we determine an inclusive 1-
distance vertex irregularity strength of a firecracker

, a broom 

, and a banana tree

.
3 MAIN RESULTS
In this section, we discuss an inclusive 1-distance
irregularity strength of firecracker

, broom

,
and banana tree

.
Theorem 1. Let

be a firecracker graph with
. Then 


.
Proof. Suppose 




 where 

, 



, and


, and for , 

.
As illustration, the vertex notation of

can be
seen in Figure 1.
Figure 1: The notation of vertices of a firecracker

.
On inclusive 1-Distance Vertex Irregularity Strength of Firecracker, Broom, and Banana Tree
229
u
1
u
2
u
3
v
1
v
2
v
3
v
4
We know that a firecracker

has 4n vertices,


and 

. Based on Lemma 1,
we get





 .
To show that 


  we define an
inclusive irregular 1-distance vertex labelling λ of

with label   as follow:


 



  
 
  
  
  



So, the vertices weight of

are


  
  
    
 
 
 
    

  
  
  
   
  
   
  
 

    
 



    

We obtain that all vertices of a graph

have
distinct weight. Hence, 


 
Therefore, we can conclude that 



Theorem 2. Let 

be a broom with  then



.
Proof. Suppose that 



 is the vertex set of a broom 

,
where the vertices
and
are leaves of a broom


for each  and
is the vertex of
degree   (see Figure 2). Then, the broom 

has    leaves. So, all leaves of a broom 

must have distinct weight, where 
and 
 
. Obviously that
the smallest weight of a leaf of a broom 

is at
least 2 and minimum of the largest weight of a leaf
of a broom 

is at least . To obtain
distinct weight of leaves
, the leaves
must have
different label for each . Hence, minimum
of the largest label of leaves from a broom 

is
at least . It means that 


.
Figure 2: The notation of vertices of a broom 

.
Now, we show that 


. We define
the inclusive irregular 1-distance vertex labelling λ
as follow,


 
   
So, the corresponding weights of each vertex of a
broom 

are

 

    

 
The differences of every vertex weight in a
broom graph 

can be verified easily. Since the
largest label of a vertex of a broom 

is at most
, 


Therefore, we can conclude
that 


Theorem 3. Let

be a banana tree with 
then





Proof. Let 


be the
vertex set of a banana tree

, where the only two
vertices adjacent to z are
and
,
, and the others are leaves. The notation
of vertices of a banana tree

as depicted in
Figure 3. First, we will find the lower bound of the
inclusive 1-distance irregularity strength for a
banana tree

. To find this, we consider 2 cases.
Case1. For
Suppose the vertex set of a banana tree

is




. A banana tree

ICMIs 2018 - International Conference on Mathematics and Islam
230
x
0
x
1
x
2
x
3
x
m
y
0
y
1
y
2
y
3
y
m
z
has 4 leaves, namely
. The smallest
weight of a leaf of a banana tree

is at least 2,
and minimum of the largest weight of a leaf of a
banana tree

is at least 5. So, the label of each
leaf is at least
. Without loss of generality, it
causes
and
. However,
minimum of the largest weight of all vertices of a
banana tree

is at least 10. If the largest vertex
label of a banana tree

is 3, then the vertex with
weight 10 should be
. It cause
and the
possibility of weight of
is either 6, 7, or 8. On the
other hand, the possibility of weight of
is either 6
or 7. Two possibilities of weight of
will cause
two of vertices
and
have the same
weight. Hence, the largest label of each vertex of a
banana tree

is at least 4. So, 


.
Figure 3: The notation of vertices of a banana tree

.
To show that 


, we can label of a
banana tree

as depicted in Figure 4.
Figure 4: The labelling of banana tree

.
Figure 4 shows the inclusive irregular 1-distance
vertex labelling, where the number outside the cycle
shows the weight of the given vertex.
Case2. For
A banana tree

has
 
leaves. The
smallest weight of a leaf of a

is at least 2 and
minimum of the largest weight of a leaf of a

is
at least   . So, minimum of the largest leaf
label of a banana tree

is at least

.
Meanwhile, minimum of the largest weight for every
vertex of a graph

is at least . Therefore,
minimum of the largest vertex label of a banana tree

is at least min



. So,



.
To show that 


, let the inclusive
irregular1-distance vertex labelling λ is defined in
the following way:

 





So, the corresponding weights of each vertex of a
banana tree

are as follows.



  
 
  
 

  

   
   
The differences of every vertex weight can be
verified easily, and the largest label is m. So,



. Therefore, we can conclude that



For example, the inclusive irregular 1-distance
vertex labelling of a banana tree

can be seen in
Figure 5.
Figure 5: The labelling of banana tree

.
On inclusive 1-Distance Vertex Irregularity Strength of Firecracker, Broom, and Banana Tree
231
ACKNOWLEDGMENT
This research was supported by Hibah Kelompok-
Riset (Graphs, Combinatorics, and Algebra),
Mathematics Department, Faculty of MIPA,
Universitas Jember, No. 2400/STe/UN25.3.1/LT.
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