Edge-Magic Total
Labeling on Vertex Amalgamation Graphs of a Star Graph with a Path Graph
Selfa Suwandi1*, Nurdin2, Muh. Nur3
Department of Mathematics, Faculty of Mathematics and Natural Sciences,
Universitas Hasanuddin, Indonesia123
Email: [email protected]1, [email protected]2
One of the topic graph theories is graph
labeling. Let
Keywords: Graph Theory, Broom Graphs, Graph
Labeling
INTRODUCTION
The development of
graph theory has been due in big measure to its essential role in the applied
sciences (Ayta�, 2020). The link between graph theory and
other branches of mathematics are becoming progressively strong (Mallik & Ghosh, 2018).
According to
historical records, graph theory originated from the solution to the Konigsberg
bridge problem introduced by Leonhard Euler, a famous Swiss mathematician in
1736, in his writings entitled "Solutio Problematis and Geometrian
Pertinentist Sites". Thanks to Euler's work, which was inspired through
the Konigsberg bridge problem, a fairly important branch of mathematics was
created known as graph theory (Mondal & De, 2017).
In forming a new
graph, one way that can be done is by using the amalgamation operation (Chatterjee et al., 2020). In this study, the authors will use
vertex amalgamation operations. A vertex amalgamation of pairs of graph
vertices
In the development of
graph theory there are several fields of study, one of which is graph labeling (Chartrand et al., 2019). Graph labeling is a topic of
combinatoric mathematics research that has developed rapidly in recent years.
An edge-magic total labeling is one of the most important types of labeling (L�pez et al., 2017; Mohan, 2019). A graph that fulfills edge-magic
total labeling is a graph that is labeled with a positive integer, where each
vertex and the associated edge (incident) when added together produce the same
positive integer (Chartrand et al., 2019). The edge-magic total labeling is
called super edge-magic total labeling if each vertex is labeled with the
smallest positive integer (Bača et al., 2019; Farahmand Asil, 2018; Maowa,
2016; Marimuthu & Kumar, 2015; Slater, 2016; Yao & Wang, 2021).
As far as we know, for the family of graphs
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RESEARCH METHODE
This research uses a
literature review method to collect, evaluate, and synthesize relevant
information from related literature. This approach allows us to understand the
development of graph theory from a variety of sources, including the
contributions of leading figures in the field throughout history. Any sector of
mathematics about any scientific activity, we feel that appreciation of graph
theory is enhanced by being familiar with most of the people, present and in
the past, who were or are responsible for its growth (Chartrand et al., 2019). General graph theory principles are
used in various fields for research and different application models. This
includes studying biodiversity, conservation and even to quantify actor
popularity or to investigate diffusion prosesses (Andriollo et al., 2023).
Definition 1. A graph
Thus, the
literature review method in this research plays a key role in presenting a
comprehensive understanding of the development of graph theory and its broad
applications in various fields of science.
A.
Types of Graphs
In this
study, we provide two types of broom graphs that will be used in this study.
Definitions 2. A broom graph
Definitions 3. A broom graph can also be defined through an
operation of vertex amalgamation between a path graph and a star graph. Suppose
A broom graph of
order
B.
The Vertex Amalgamation
In this
section, we present a definition of a vertex amalgamation of graph.
Definition 4. Let
C.
��Edge-Magic
Total Labeling and Super Edge-Magic Total Labeling
In this
section, we present some definitions of edge-magic total and super edge-magic
total labeling.
Definition 5. Let
Definition
6. An edge-magic total labeling
According to the definiton of super edge-magic
total labeling, we know that the sum of all labels assigned to vertices and
edges of a graph
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(2.1) |
Where
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A.
Vertex Amalgamations of a Star Graph with a Path Graph
The following definition of a vertex
amalgamation of graph is taken from [1].
Suppose
B.
Intervals of Magic Sums on Vertex Amalgamation Graphs of a Star Graph
with a Path Graph
In this section, we
present intervals of magic sum of four new graphs on vertex amalgamation graphs
of a star graph
Suppose
Suppose
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(3.1) |
Theorem 3.1. �Let
Proof. Based on Eq. (2.2), the magic sums
Based on Eq. (2.2), the magic sums
Therefore, it is proved that
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b. Magic Sums of Broom Graph
Suppose
Suppose
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(3.2) |
Theorem 3.2. Let
Proof. Based on Eq. (2.2),
the magic sums
Based on Eq. (2.2), the magic sums
Therefore, it is proved that
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c. Magic Sums of a Broom Graph
Suppose
Suppose
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(3.3) |
Theorem 3.3. Let
Proof. Based on Eq. (2.2), the magic sums
Furthermore, Based on Eq. (2.2), the magic
sums
Therefore, it is proved that
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d. Magic Sums of
Suppose
Suppose
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(3.4) |
Theorem 3.4. Let
Proof. Based on Eq. (2.2),
the magic sums
Based on Eq. (2.2), the magic sums
Therefore, it is proved that
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3.3.
�Edge-Magic
Total Labelings on Vertex Amalgamation Graphs of a Star Graph with a Path ����Graph
In this section, the
study will discuss about edge-magic total and super edge-magic total labelings
on vertex amalgamation graphs of star graphs with path graphs
a. Edges-Magic Total Labelings of a graph
There
are two types of the edges-magic total labeling on a graph
i. Edge-Magic Total Labeling of a Graph
Theorem 3.5. If
Proof. Suppose
The cardinality of the vertex set and edge set
are respectively
Because each edge holds
Figure 1. An EMTL of Amal (S_7;P_4,x_2
) with the magic sum k=34.
ii. Super Edge-Magic Labeling of a graph
Theorem 3.6. If
Proof. Suppose
The cardinality of the vertex set and edge set
are respectively
10 3 9 1 4 7 6 5 8 2 Figure 2. A super EMTL of 11 12 13 14 17 18 19 15 16
Because
b. Edges-Magic Total Labelings of a Broom
There are two types of
the edges-magic total labeling on a broom graph
1. Edge-Magic Total Labeling of a Broom Graph
Theorem 7: If
Proof. Suppose
The cardinality of the
vertex set and edge set are respectively
Because each edge holds
2. Super Edge-Magic Total Labeling of a broom Graph
Theorem 3.8. If
Proof. Suppose the broom
The cardinality of the vertex set and edge set
are respectively
Because
c. Edges-Magic Total Labelings of a Broom Graph
There are two types of
the edges-magic total labeling on a broom graph
1. Edge-Magic Total Labeling of a Broom Graph
Theorem 3.9. If
Proof. Suppose the broom
The cardinality of the vertex set and edge set
are respectively
Because each edge holds
2. Super Edge-Magic Total Labeling of a Broom Graph
Theorem 3.10. If
Proof. Suppose
The cardinality of the vertex set and edge set
are respectively
Because
d. Edge-Magic Total Labeling of a Graph
There are two types of
the edges-magic total labeling on a graph
1.
Edge-Magic
Total Labeling of a Graph
Theorem 3.11. If
Proof. Suppose the graph
The cardinality of the vertex set and edge set
are respectively
Because each edge holds
2. Super Edge-Magic Total Labeling of a Graph
Theorem 3.12. If
Proof. Suppose the graph
The cardinality of the vertex set and edge set
are respectively
Because
CONCLUSION
In this paper, we have
given some solutions, to solve the edge-magic total and super edge-magic total
labeling including intervals of the magic sums on vertex amalgamation graphs of
a star graph
REFERENCES
Abu-Khzam, F. N., Egan, J., Gaspers, S., Shaw, A., & Shaw, P. (2018).
Cluster editing with vertex splitting. International Symposium on
Combinatorial Optimization, 1�13.
Andriollo, E., Secco, L.,
Caimo, A., & Pisani, E. (2023). Probabilistic network analysis of
social-ecological relationships emerging from EU LIFE projects for nature and
biodiversity: An application of ERGM models in the case study of the Veneto
region (Italy). Environmental Science & Policy, 148, 103550.
Ayta�, A. (2020). Relevant
graph concepts for big data. Journal of Modern Technology and Engineering,
5(3), 255�263.
Bača, M., Miller, M.,
Ryan, J., & Semaničov�-Feňovč�kov�, A. (2019). Magic and
Antimagic Graphs. Attributes, Observations, and Challenges in Graph
Labelings, Springer Nature Switzerland AG, Cham.
Chartrand, G., Egan, C.,
& Zhang, P. (2019). How to Label a Graph. Springer.
Chatterjee, A., Ghosal, S.
K., & Sarkar, R. (2020). LSB based steganography with OCR: an intelligent
amalgamation. Multimedia Tools and Applications, 79(17),
11747�11765.
Farahmand Asil, M. (2018). The
Arithmetic of Graph Polynomials. UC Berkeley.
L�pez, S. C., Muntaner-Batle,
F. A., L�pez, S. C., & Muntaner-Batle, F. A. (2017). Graphs Labelings. Graceful,
Harmonious and Magic Type Labelings: Relations and Techniques, 15�31.
Mallik, A., & Ghosh, B.
(2018). Scientometric analysis of research advancement in graph theory and its
applications. COLLNET Journal of Scientometrics and Information Management,
12(2), 243�261.
Maowa, J. (2016). Study on
graceful labeling of trees.
Marimuthu, G. T., &
Kumar, G. (2015). Solution to some open problems on E-super vertex magic
labeling of disconnected graphs. Applied Mathematics and Computation, 268,
657�663.
Mohan, P. (2019). Product
of digraphs,(super) edge-magic valences and related problems.
Mondal, B., & De, K.
(2017). An overview applications of graph theory in real field. International
Journal of Scientific Research in Computer Science, Engineering and Information
Technology, 2(5), 751�759.
Slater, P. J. (2016). It Is
All Labeling. Graph Theory: Favorite Conjectures and Open Problems-1,
231�252.
Yao, B., & Wang, H. (2021).
Recent Colorings And Labelings In Topological Coding. ArXiv Preprint
ArXiv:2106.15254.
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