Applied Mathematics
Vol.06 No.06(2015), Article ID:56857,12 pages
10.4236/am.2015.66086
Degree Splitting of Root Square Mean Graphs
S. S. Sandhya1, S. Somasundaram2, S. Anusa3
1Department of Mathematics, Sree Ayyappa College for Women, Chunkankadai, India
2Department of Mathematics, Manonmaniam Sundaranar University, Tirunelveli, India
3Department of Mathematics, Arunachala College of Engineering for Women, Vellichanthai, India
Email: anu12343s@gmail.com
Copyright © 2015 by authors and Scientific Research Publishing Inc.
This work is licensed under the Creative Commons Attribution International License (CC BY).
http://creativecommons.org/licenses/by/4.0/



Received 15 April 2015; accepted 30 May 2015; published 2 June 2015
ABSTRACT
Let
be an injective function. For a vertex labeling f, the induced edge labeling
is defined by,
or
then, the edge labels are distinct and are from
. Then f is called a root square mean labeling of G. In this paper, we prove root square mean labeling of some degree splitting graphs.
Keywords:
Graph, Path, Cycle, Degree Splitting Graphs, Root Square Mean Graphs, Union of Graphs

1. Introduction
The graphs considered here are simple, finite and undirected. Let
denote the vertex set and
denote the edge set of G. For detailed survey of graph labeling we refer to Gallian [1] . For all other standard terminology and notations we follow Harary [2] . The concept of mean labeling on degree splitting graph was introduced in [3] . Motivated by the authors we study the root square mean labeling on degree splitting graphs. Root square mean labeling was introduced in [4] and the root square mean labeling of some standard graphs was proved in [5] - [11] . The definitions and theorems are useful for our present study.
Definition 1.1: A graph
with p vertices and q edge is called a root square mean graph if it is possible to label the vertices
with distinct labels
from
in such a way that when
each edge
is labeled with
or
, then the edge
labels are distinct and are from
. In this case f is called root square mean labeling of G.
Definition 1.2: A walk in which
are distinct is called a path. A path on n vertices is denoted by
Definition 1.3: A closed path is called a cycle. A cycle on n vertices is denoted by
Definition 1.4: Let 








Definition 1.5: The union of two graphs 




Theorem 1.6: Any path is a root square mean graph.
Theorem 1.7: Any cycle is a root square mean graph.
2. Main Results
Theorem 2.1: 
Proof: The graph 
Let



Figure 1. The graph G and its degree splitting graph
Figure 2. The graph
Then the edges are labeled as
Then the edge labels are distinct and are from
Example 2.2: Root square mean labeling of 
Theorem 2.3:
Proof: The graph 
Let



Figure 3. Root square mean labeling of
Figure 4. The graph
Then the edges are labeled as
Then the edge labels are distinct and are from
Example 2.4: Root square mean labeling of 
Theorem 2.5: 
Proof: The graph 
Let



Figure 5. Root square mean labeling of
Figure 6. The graph
Then the edges are labeled as
Then the edge labels are distinct and are from
Example 2.6: The labeling pattern of 
Theorem 2.7:
Proof: The graph 
Let



Figure 7. The labeling pattern of
Figure 8. The graph
Then the edges are labeled as
Then the edge labels are distinct and are from
Example 2.8: The labeling pattern of 
Theorem 2.9: 
Proof: The graph 
Let


Define a function 
Then the edges are labeled as
Figure 9. The labeling pattern of
Figure 10. The graph
Then the edge labels are distinct and are from
Example 2.10: The root square mean labeling of 
Theorem 2.11:
Proof: The graph 
Let
where
Define a function 
Figure 11. The root square mean labeling of
Figure 12. The graph
Then the edges are labeled as
Then the edge labels are distinct and are from
Example 2.12: The labeling pattern of 
Theorem 2.13: 
Proof: The graph 
Figure 13. The labeling pattern of
Figure 14. The graph
Let
where
Define a function 
Then the edges are labeled as
Then the edge labels are distinct and are from
Example 2.14: The labeling pattern of 
Theorem 2.15: 
Proof: The graph 
Let
Figure 15. The labeling pattern of
Figure 16. The graph
where
Define a function 
Then the edges are labeled as
Then the edge labels are distinct and are from
Figure 17. The root square mean labeling of
Example 2.16: The root square mean labeling of 
References
- Gallian, J.A. (2012) A Dynamic Survey of Graph Labeling. The Electronic Journal of Combinatories.
- Harary, F. (1988) Graph Theory. Narosa Publishing House Reading, New Delhi.
- Sandhya, S.S., Jayasekaran, C. and Raj, C.D. (2013) Harmonic Mean Labeling of Degree Splitting Graphs. Bulletin of Pure and Applied Sciences, 32E, 99-112.
- Sandhya, S.S., Somasundaram, S. and Anusa, S. (2014) Root Square Mean Labeling of Graphs. International Journal of Contemporary Mathematical Sciences, 9, 667-676.
- Sandhya, S.S., Somasundaram, S. and Anusa, S. (2015) Some More Results on Root Square Mean Graphs. Journal of Mathematics Research, 7.
- Sandhya, S.S., Somasundaram, S. and Anusa, S. (2014) Root Square Mean Labeling of Some New Disconnected Graphs. International Journal of Mathematics Trends and Technology, 15, 85-92. http://dx.doi.org/10.14445/22315373/IJMTT-V15P511
- Sandhya, S.S., Somasundaram, S. and Anusa, S. (2014) Root Square Mean Labeling of Subdivision of Some More Graphs. International Journal of Mathematics Research, 6, 253-266.
- Sandhya, S.S., Somasundaram, S. and Anusa, S. (2014) Some New Results on Root Square Mean Labeling. International Journal of Mathematical Archive, 5, 130-135.
- Sandhya, S.S., Somasundaram, S. and Anusa, S. (2015) Root Square Mean Labeling of Subdivision of Some Graphs. Global Journal of Theoretical and Applied Mathematics Sciences, 5, 1-11.
- Sandhya, S.S., Somasundaram, S. and Anusa, S. (2015) Root Square Mean Labeling of Some More Disconnected Graphs. International Mathematical Forum, 10, 25-34.
- Sandhya, S.S., Somasundaram, S. and Anusa, S. (2015) Some Results on Root Square Mean Graphs. Communicated to Journal of Scientific Research.














































































































































