SlideShare a Scribd company logo
1 of 7
Download to read offline
International Journal on Applications of Graph Theory in Wireless Ad hoc Networks and Sensor Networks(GRAPH-HOC)
Vol.7, No.4, December 2015
DOI : 10.5121/jgraphoc.2015.7401 1
EVEN GRACEFUL LABELLING OF A CLASS OF
TREES
Mathew Varkey T.K and Rajesh Kumar T.J
Department of Mathematics,T.K.M College of Engineering, Kollam, Kerala, India
ABSTRACT
A labelling or numbering of a graph G with q edges is an assignment of labels to the vertices of G that
induces for each edge uv a labelling depending on the vertex labels f(u) and f(v). A labelling is called a
graceful labelling if there exists an injective function f: V (G) → {0, 1,2,......q} such that for each edge xy,
the labelling │f(x)-f(y)│is distinct. In this paper, we prove that a class of Tn trees are even graceful.
Key Words: labelling, even graceful graph, tree.
AMS (2010):05C78
1 INTRODUCTION
In this paper, we consider the finite graphs which are simple and undirected. We follow Harary
[1] for basic definitions and notations in graph theory and Gallian [3] for all terminology
regarding graceful labelling. Now a days, graph theory based results are using in every field of
engineering and science. Graph labelling is one of the important areas in graph theory. There
exist so many practical problems based on graph labelling. Graph labelling methods are used for
application problems in communication network addressing system, database management,
circuit designs, coding theory, X-ray crystallography, the design of good radar type codes, synch
set codes, missile guidance codes and radio astronomy problems etc. Bloom and Golomb [2]
presents graph labelling problems in various applications.
Graph labelling can also use for issues in mobile Ad hoc networks. In Ad hoc networks issues
such as connectivity, scalability, routing, modelling the network and simulation are to be
considered. For analyzing the issues in the Ad hoc network, it can be modelled as a graph. The
model can be used to analyze the issues such as node density, mobility among the nodes and link
information between the nodes.
In this paper, we apply even graceful labelling on elementary parallel transformation. Using
elementary parallel transformation we have to join a new path between any two disconnected
nodes by transforming the edges under certain conditions and form a Hamiltonian path. For even
graceful labelling, there is no change in the labelling on edges when we transform an edge in
elementary parallel transformation. In [5] Mathew Varkey.T.K and Shajahan.A proved that
parallel transformation of tree are magic and also find their magic strength and super magic. In
[6] it is proved that the parallel transformation of tree generates a class of super mean graph and
the Tn class of trees are mean graph and odd mean graph.
International Journal on Applications of Graph Theory in Wireless Ad hoc Networks and Sensor Networks(GRAPH-HOC)
Vol.7, No.4, December 2015
2
Definition 1.
A graph G = (V(G),E(G)) is said to admit even graceful labelling if f:V(G) → {0, 1, 2, 3, ......,
2q-1} injective and the induced function f *
: E(G) → {2, 4, 6, ......, 2q-2} defined as f *
(uv) = |f
(u) − f (v)| is bijective .A graph which admits even graceful labelling is called an even graceful
graph.
2 ON Tn CLASS OF TREES
Definition 2.
([4]) Let T be a tree and x and y be two adjacent vertices in T. Let there be two end vertices (non
adjacent vertices of degree one) x1, y1 in T such that the length of the path x-x1 is equal to the
length of the path y-y1. If the edge xy is deleted from T and x1, y1 are joined by an edge x1y1, then
such a transformations of the edge from xy to x1y1 is called an elementary parallel transformation
(or an EPT of T) and the edge xy is called a transformable edge.
Definition 3.
([4]) If a sequence of EPT’s, the tree, T can be reduced to a Hamiltonian path, then T is called a
Tn tree(transformed tree) and such a Hamiltonian path is denoted as P H
(T ). Any such sequence
regarded as a composition mapping EPT’s denoted by P is called parallel transformation of T.
Consider the Tn tree as follows in figure 1.
Figure- 1
Using a sequence of three EPT’s the edges d1, d2, d3 in figure 1 are replaced by edges e1, e2, e3. The
tree can be reduced to a Hamiltonian path as shown in the figure 2.
International Journal on Applications of Graph Theory in Wireless Ad hoc Networks and Sensor Networks(GRAPH-HOC)
Vol.7, No.4, December 2015
3
Figure- 2
Theorem 1.
Every Tn tree is even graceful.
Proof:
Let T be a Tn tree with n+1 vertices. By definition there exists a path P H
(T) corresponding to Tn.
Using EPT’s, for forming the Hamiltonian path PH
(T) the set of edges Ed = {d1, d2, d3... dr} can
be deleted from tree T and Ep is the set of edges newly added through the sequence {e1, e2, e3...
...,er} . Clearly Ep and Ed have the same number of edges. The number of vertices of T and the
number of vertices of Hamiltonian path are same and edges of the Hamiltonian path is {E (T)
−Ed} U EP. Now denote the vertices of PH
(T ) successively as v1, v2, v3, ...., vn+1 starting from
one pendant vertex of PH
(T ) right up to other . Consider the vertex numbering of f: V (P H
(T))
→ {0, 1, 2, 3, ......., 2q-1} as follows
݂ሺ‫ݒ‬௜ሻ = ቐ
2 ቂ
௜ିଵ
ଶ
ቃ 	݂݅	݅	݅‫,݀݀݋	ݏ‬ 1 ≤ ݅ ≤ ݊ + 1
2‫ݍ‬ − 2 ቂ
௜ିଶ
ଶ
ቃ 		݅	݅‫,݊݁ݒ݁	ݏ‬ 2 ≤ ݅ ≤ ݊ + 1
where [ ] denote the integral part. Clearly f is an injective function.
International Journal on Applications of Graph Theory in Wireless Ad hoc Networks and Sensor Networks(GRAPH-HOC)
Vol.7, No.4, December 2015
4
Let gf
∗(uv) = |f (u) − f (v)| be the induced mapping defined from the edge set of P H
(T) into the
set {2, 4, 6, ......, 2q-2} whenever uv is an edge in P H
(T ).
Since P H
(T) is a path, consider an arbitrary edge in P H
(T) is of the form vivi+1, i=1, 2,.........,
2q.
Case (1): when i is even, then
gf
*
(vi,vi+1) = |݂ሺ‫ݒ‬௜ሻ − ݂ሺ‫ݒ‬௜ାଵሻ|
= ቚ2‫ݍ‬ − 2 ቂ
௜ିଶ
ଶ
ቃ − 2 ቂ
௜ାଵିଵ
ଶ
ቃቚ
= ቚ2‫ݍ‬ − 2 ቂ
௜ିଶ
ଶ
ቃ − 2 ቂ
௜
ଶ
ቃቚ
= ቚ2‫ݍ‬ − 2 ቂ
௜ିଶା௜
ଶ
ቃቚ
= ቚ2‫ݍ‬ − 2 ቂ
ଶ௜ିଶ
ଶ
ቃቚ
= ቚ2‫ݍ‬ − 4 ቂ
௜ିଵ
ଶ
ቃቚ	.................................. (1)
Case (2): when n is odd, then
gf
*
(vi,vi+1) = |݂ሺ‫ݒ‬௜ሻ − ݂ሺ‫ݒ‬௜ାଵሻ|
= ቚ2 ቂ
௜ିଵ
ଶ
ቃ − ሺ2‫ݍ‬ − 2 ቂ
௜ାଵିଶ
ଶ
ቃሻቚ
= ቚ2 ቂ
௜ିଵ
ଶ
ቃ − 2‫ݍ‬ + 2 ቂ
௜ିଵ
ଶ
ቃቚ
= ቚ2‫ݍ‬ − 4 ቂ
௜ିଵ
ଶ
ቃቚ ............................... (2)
From equation (1) and (2), we get for all i,
gf
*
(vi,vi+1) = ቚ2‫ݍ‬ − 4 ቂ
௜ିଵ
ଶ
ቃቚ ................................(3)
It is clear that gf
∗ is injective and its range is {2, 4, 6,......, 2q}.
Then f is even graceful on P H
(T).
In order to prove that f is also even graceful on Tn, it is enough to show that gf
∗(ds) = gf
∗(es).
Let ds = vivj , 1 ≤ i ≤ n + 1; 1 ≤ j ≤ n + 1 be an edge of T and ds be deleted and es be the
corresponding edge joined to obtain P H
(T) at a distance k from ui and uj .Then es = vi+kvj−k. Since
es is an edge in P H
(T), it must be of the form es = vi+kvi+k+1 .
We have (vi+k, vj−k) = (vi+k, vi+k+1), this implies j-k = i+k+1
j= i+2k+1
one of i,j is odd and other is even.
Case (1): when i is even, 2≤ ݅ ≤ ݊.
gf
*
(ds) = gf
*
(vi,vj) = gf
*
(vi,vi+2k+1)
= |݂ሺ‫ݒ‬௜ሻ − ݂ሺ‫ݒ‬௜ାଶ௞ାଵሻ|
International Journal on Applications of Graph Theory in Wireless Ad hoc Networks and Sensor Networks(GRAPH-HOC)
Vol.7, No.4, December 2015
5
= ቚ2‫ݍ‬ − 2 ቂ
௜ିଶ
ଶ
ቃ − 2 ቂ
௜ାଶ௞ାଵିଵ
ଶ
ቃቚ
=		ቚ2‫ݍ‬ − 2 ቂ
௜ିଶ
ଶ
ቃ − 2 ቂ
௜ାଶ௞
ଶ
ቃቚ
= |2‫ݍ‬ − ሺ2݅ + 2݇ − 2ሻ|
= |2‫ݍ‬ − 2ሺ݅ + ݇ − 1ሻ|
= |2ሺ‫ݍ‬ − ݅ − ݇ + 1ሻ| ........................ (4)
Case (2): when i is odd, 1 ≤ ݅ ≤ ݊
gf
*
(ds) = |݂ሺ‫ݒ‬௜ሻ − ݂ሺ‫ݒ‬௜ାଶ௞ାଵሻ|
= ቚ2 ቂ
௜ିଵ
ଶ
ቃ − ሺ2‫ݍ‬ − 2 ቂ
௜ାଶ௞ାଵିଶ
ଶ
ቃሻቚ
=		ቚ2 ቂ
௜ିଵ
ଶ
ቃ + 2 ቂ
௜ାଶ௞ିଵ
ଶ
ቃ − 2‫ݍ‬ቚ
= |2ሺ݅ + ݇ − 1ሻ − 2‫|ݍ‬
= |2‫ݍ‬ − 2ሺ݅ + ݇ − 1ሻ|
= |2ሺ‫ݍ‬ − ݅ − ݇ + 1ሻ| ........................ (5)
From (4) and (5) it follows that
gf
*
(ds) = |2ሺ‫ݍ‬ − ݅ − ݇ + 1ሻ| ,1 ≤ ݅ ≤ ݊ ..........(6)
Now,
gf
*
(es) = gf
*
(vi+k,vj-k) = gf
*
(vi+k,vi+k+1)
= |݂ሺ‫ݒ‬௜ା௞ሻ − ݂ሺ‫ݒ‬௜ା௞ାଵሻ|
= ቚ2‫ݍ‬ − 2 ቂ
௜ା௞ିଶ
ଶ
ቃ − 2 ቂ
௜ା௞ାଵିଵ
ଶ
ቃቚ
= |2‫ݍ‬ − 2ሺ݅ + ݇ − 1ሻ|
=	|2ሺ‫ݍ‬ − ݅ − ݇ + 1ሻ|, 11 ≤ ݅ ≤ ݊ ........ (7)
From (6) and (7)
gf
*
(es) = gf
*
(ds)
Then f is even graceful on Tn also. Hence the graph Tn tree is even graceful.
Example: Even graceful labelling of the tree in figure 1 is shown below.
International Journal on Applications of Graph Theory in Wireless Ad hoc Networks and Sensor Networks(GRAPH-HOC)
Vol.7, No.4, December 2015
6
Figure- 3
Algorithm
The Tn tree has n+1 vertices and q edges. Let the class of tree Tn is demonstrated by listing the
vertices and edges in the order v1e1v2e2.............vq−1eq−1vq eqvq+1.The algorithm starts at the vertex
v1 and label the vertex with the value f (v1) = 0.Then traverses to the next vertex and label it with
the value f (v2) = 2q, traverses to the next vertex and label it with the value f (v3) = 2, traverses to
the next vertex and label it with the value f (v4) = 2q−2 and so on. Let x1 and y1 be the two
vertexes which have no path for connection. As in the definition of elementary parallel
transformation joining x1 and y1 by an edge.
Then the tree can be reduced to a Hamiltonian path v1e1v2e2..................‫ݒ‬௫భ			,			௘ೣభ
,			௩ೣభశభ
........eq
vq+1. Then label the vertices ‫ݒ‬௫భ
and ‫ݒ‬௫భశభ
as in the same procedure given above. The edge
labelling is the absolute value of the difference between the vertex labelling.
To label the Tn trees even graceful, perform the following operations starting with u1
Number the vertex u1 with the value f (u1) = 0.
For (i = 3, i ≤ q + 1, i+ = 2)
14
22
4
20
24
18
6
16
8
18
8
10
10
20
12
12
4
16
2
14
26
24
2
26
28
28
0
22 6
International Journal on Applications of Graph Theory in Wireless Ad hoc Networks and Sensor Networks(GRAPH-HOC)
Vol.7, No.4, December 2015
7
f (ui) = f (ui−2) + 2
For (i = 2, i ≤ q, i+ = 2)
f (ui) = 2q − i + 2
REFERENCES
[1] F.Harary, Graph Theory, Addision Wesley, Reading, M.A, 1969.
[2] G.S.Bloom and S.W.Golomb, Pro.of the IEEE.165(4),(1977)562-70.
[3] Joseph A.Gallian, A dynamic survey of Graph Labeling, The Electronic Journal of Combinatorics,
17(2014).
[4] Mathew Varkey.T.K, Graceful labelling of a class of trees, Proceedings of the National seminar on
Algebra and Discrete Mathematics, Department of of Mathematics, University of Kerala,
Trivandrum, Kerala, November 2003.
[5] Mathew Varkey.T.K and Shajahan.A, On labelling of parallel transformation of a class of trees,
Bulletin of Kerala Mathematical Association Vol.5 No.1 (June 2009)49-60.
[6] Teena Liza John, A study on different classes of graphs and their labelling, PhD Thesis, M.G
University, Kerala, 2014.

More Related Content

What's hot

Some fixed point theorems in fuzzy mappings
Some fixed point theorems in fuzzy mappingsSome fixed point theorems in fuzzy mappings
Some fixed point theorems in fuzzy mappingsAlexander Decker
 
A common fixed point theorem in cone metric spaces
A common fixed point theorem in cone metric spacesA common fixed point theorem in cone metric spaces
A common fixed point theorem in cone metric spacesAlexander Decker
 
On fixed point theorem in fuzzy metric spaces
On fixed point theorem in fuzzy metric spacesOn fixed point theorem in fuzzy metric spaces
On fixed point theorem in fuzzy metric spacesAlexander Decker
 
umerical algorithm for solving second order nonlinear fuzzy initial value pro...
umerical algorithm for solving second order nonlinear fuzzy initial value pro...umerical algorithm for solving second order nonlinear fuzzy initial value pro...
umerical algorithm for solving second order nonlinear fuzzy initial value pro...IJECEIAES
 
INDUCTIVE LEARNING OF COMPLEX FUZZY RELATION
INDUCTIVE LEARNING OF COMPLEX FUZZY RELATIONINDUCTIVE LEARNING OF COMPLEX FUZZY RELATION
INDUCTIVE LEARNING OF COMPLEX FUZZY RELATIONijcseit
 
One modulo n gracefulness of
One modulo n gracefulness ofOne modulo n gracefulness of
One modulo n gracefulness ofgraphhoc
 
Common fixed point theorems for contractive maps of
Common fixed point theorems for contractive maps ofCommon fixed point theorems for contractive maps of
Common fixed point theorems for contractive maps ofAlexander Decker
 
THE RESULT FOR THE GRUNDY NUMBER ON P4- CLASSES
THE RESULT FOR THE GRUNDY NUMBER ON P4- CLASSESTHE RESULT FOR THE GRUNDY NUMBER ON P4- CLASSES
THE RESULT FOR THE GRUNDY NUMBER ON P4- CLASSESgraphhoc
 
11.common fixed points of weakly reciprocally continuous maps using a gauge f...
11.common fixed points of weakly reciprocally continuous maps using a gauge f...11.common fixed points of weakly reciprocally continuous maps using a gauge f...
11.common fixed points of weakly reciprocally continuous maps using a gauge f...Alexander Decker
 
Common fixed points of weakly reciprocally continuous maps using a gauge func...
Common fixed points of weakly reciprocally continuous maps using a gauge func...Common fixed points of weakly reciprocally continuous maps using a gauge func...
Common fixed points of weakly reciprocally continuous maps using a gauge func...Alexander Decker
 
On the Zeros of Polar Derivatives
On the Zeros of Polar DerivativesOn the Zeros of Polar Derivatives
On the Zeros of Polar Derivativespaperpublications3
 
Matroids
MatroidsMatroids
Matroidstotycro
 
SOLVING BVPs OF SINGULARLY PERTURBED DISCRETE SYSTEMS
SOLVING BVPs OF SINGULARLY PERTURBED DISCRETE SYSTEMSSOLVING BVPs OF SINGULARLY PERTURBED DISCRETE SYSTEMS
SOLVING BVPs OF SINGULARLY PERTURBED DISCRETE SYSTEMSTahia ZERIZER
 
Generalized fixed point theorems for compatible mapping in fuzzy 2 metric spa...
Generalized fixed point theorems for compatible mapping in fuzzy 2 metric spa...Generalized fixed point theorems for compatible mapping in fuzzy 2 metric spa...
Generalized fixed point theorems for compatible mapping in fuzzy 2 metric spa...Alexander Decker
 
Extension principle
Extension principleExtension principle
Extension principleSavo Delić
 
FURTHER RESULTS ON ODD HARMONIOUS GRAPHS
FURTHER RESULTS ON ODD HARMONIOUS GRAPHSFURTHER RESULTS ON ODD HARMONIOUS GRAPHS
FURTHER RESULTS ON ODD HARMONIOUS GRAPHSgraphhoc
 
Fixed point theorem in fuzzy metric space with e.a property
Fixed point theorem in fuzzy metric space with e.a propertyFixed point theorem in fuzzy metric space with e.a property
Fixed point theorem in fuzzy metric space with e.a propertyAlexander Decker
 

What's hot (19)

Some fixed point theorems in fuzzy mappings
Some fixed point theorems in fuzzy mappingsSome fixed point theorems in fuzzy mappings
Some fixed point theorems in fuzzy mappings
 
A common fixed point theorem in cone metric spaces
A common fixed point theorem in cone metric spacesA common fixed point theorem in cone metric spaces
A common fixed point theorem in cone metric spaces
 
N0747577
N0747577N0747577
N0747577
 
On fixed point theorem in fuzzy metric spaces
On fixed point theorem in fuzzy metric spacesOn fixed point theorem in fuzzy metric spaces
On fixed point theorem in fuzzy metric spaces
 
umerical algorithm for solving second order nonlinear fuzzy initial value pro...
umerical algorithm for solving second order nonlinear fuzzy initial value pro...umerical algorithm for solving second order nonlinear fuzzy initial value pro...
umerical algorithm for solving second order nonlinear fuzzy initial value pro...
 
INDUCTIVE LEARNING OF COMPLEX FUZZY RELATION
INDUCTIVE LEARNING OF COMPLEX FUZZY RELATIONINDUCTIVE LEARNING OF COMPLEX FUZZY RELATION
INDUCTIVE LEARNING OF COMPLEX FUZZY RELATION
 
One modulo n gracefulness of
One modulo n gracefulness ofOne modulo n gracefulness of
One modulo n gracefulness of
 
Common fixed point theorems for contractive maps of
Common fixed point theorems for contractive maps ofCommon fixed point theorems for contractive maps of
Common fixed point theorems for contractive maps of
 
THE RESULT FOR THE GRUNDY NUMBER ON P4- CLASSES
THE RESULT FOR THE GRUNDY NUMBER ON P4- CLASSESTHE RESULT FOR THE GRUNDY NUMBER ON P4- CLASSES
THE RESULT FOR THE GRUNDY NUMBER ON P4- CLASSES
 
11.common fixed points of weakly reciprocally continuous maps using a gauge f...
11.common fixed points of weakly reciprocally continuous maps using a gauge f...11.common fixed points of weakly reciprocally continuous maps using a gauge f...
11.common fixed points of weakly reciprocally continuous maps using a gauge f...
 
Common fixed points of weakly reciprocally continuous maps using a gauge func...
Common fixed points of weakly reciprocally continuous maps using a gauge func...Common fixed points of weakly reciprocally continuous maps using a gauge func...
Common fixed points of weakly reciprocally continuous maps using a gauge func...
 
On the Zeros of Polar Derivatives
On the Zeros of Polar DerivativesOn the Zeros of Polar Derivatives
On the Zeros of Polar Derivatives
 
Matroids
MatroidsMatroids
Matroids
 
SOLVING BVPs OF SINGULARLY PERTURBED DISCRETE SYSTEMS
SOLVING BVPs OF SINGULARLY PERTURBED DISCRETE SYSTEMSSOLVING BVPs OF SINGULARLY PERTURBED DISCRETE SYSTEMS
SOLVING BVPs OF SINGULARLY PERTURBED DISCRETE SYSTEMS
 
Generalized fixed point theorems for compatible mapping in fuzzy 2 metric spa...
Generalized fixed point theorems for compatible mapping in fuzzy 2 metric spa...Generalized fixed point theorems for compatible mapping in fuzzy 2 metric spa...
Generalized fixed point theorems for compatible mapping in fuzzy 2 metric spa...
 
Extension principle
Extension principleExtension principle
Extension principle
 
FURTHER RESULTS ON ODD HARMONIOUS GRAPHS
FURTHER RESULTS ON ODD HARMONIOUS GRAPHSFURTHER RESULTS ON ODD HARMONIOUS GRAPHS
FURTHER RESULTS ON ODD HARMONIOUS GRAPHS
 
Fixed point theorem in fuzzy metric space with e.a property
Fixed point theorem in fuzzy metric space with e.a propertyFixed point theorem in fuzzy metric space with e.a property
Fixed point theorem in fuzzy metric space with e.a property
 
Bd32360363
Bd32360363Bd32360363
Bd32360363
 

Similar to EVEN GRACEFUL LABELLING OF A CLASS OF TREES

ODD HARMONIOUS LABELINGS OF CYCLIC SNAKES
ODD HARMONIOUS LABELINGS OF CYCLIC SNAKESODD HARMONIOUS LABELINGS OF CYCLIC SNAKES
ODD HARMONIOUS LABELINGS OF CYCLIC SNAKESgraphhoc
 
On algorithmic problems concerning graphs of higher degree of symmetry
On algorithmic problems concerning graphs of higher degree of symmetryOn algorithmic problems concerning graphs of higher degree of symmetry
On algorithmic problems concerning graphs of higher degree of symmetrygraphhoc
 
Odd Harmonious Labelings of Cyclic Snakes
Odd Harmonious Labelings of Cyclic SnakesOdd Harmonious Labelings of Cyclic Snakes
Odd Harmonious Labelings of Cyclic SnakesGiselleginaGloria
 
ON ALGORITHMIC PROBLEMS CONCERNING GRAPHS OF HIGHER DEGREE OF SYMMETRY
ON ALGORITHMIC PROBLEMS CONCERNING GRAPHS OF HIGHER DEGREE OF SYMMETRYON ALGORITHMIC PROBLEMS CONCERNING GRAPHS OF HIGHER DEGREE OF SYMMETRY
ON ALGORITHMIC PROBLEMS CONCERNING GRAPHS OF HIGHER DEGREE OF SYMMETRYFransiskeran
 
ENUMERATION OF 1-REGULAR SEMIGRAPHS OF ORDER p WITH THREE MUTUALLY ADJACENT m...
ENUMERATION OF 1-REGULAR SEMIGRAPHS OF ORDER p WITH THREE MUTUALLY ADJACENT m...ENUMERATION OF 1-REGULAR SEMIGRAPHS OF ORDER p WITH THREE MUTUALLY ADJACENT m...
ENUMERATION OF 1-REGULAR SEMIGRAPHS OF ORDER p WITH THREE MUTUALLY ADJACENT m...IAEME Publication
 
SUPER MAGIC CORONATIONS OF GRAPHS
SUPER MAGIC CORONATIONS OF GRAPHS SUPER MAGIC CORONATIONS OF GRAPHS
SUPER MAGIC CORONATIONS OF GRAPHS IAEME Publication
 
Master Thesis on Rotating Cryostats and FFT, DRAFT VERSION
Master Thesis on Rotating Cryostats and FFT, DRAFT VERSIONMaster Thesis on Rotating Cryostats and FFT, DRAFT VERSION
Master Thesis on Rotating Cryostats and FFT, DRAFT VERSIONKaarle Kulvik
 
Graph theory concepts complex networks presents-rouhollah nabati
Graph theory concepts   complex networks presents-rouhollah nabatiGraph theory concepts   complex networks presents-rouhollah nabati
Graph theory concepts complex networks presents-rouhollah nabatinabati
 
Proportional and decentralized rule mcst games
Proportional and decentralized rule mcst gamesProportional and decentralized rule mcst games
Proportional and decentralized rule mcst gamesvinnief
 
The Fourth Largest Estrada Indices for Trees
The Fourth Largest Estrada Indices for TreesThe Fourth Largest Estrada Indices for Trees
The Fourth Largest Estrada Indices for Treesinventionjournals
 
WaveletTutorial.pdf
WaveletTutorial.pdfWaveletTutorial.pdf
WaveletTutorial.pdfshreyassr9
 
4. [22 25]characterization of connected vertex magic total labeling graphs in...
4. [22 25]characterization of connected vertex magic total labeling graphs in...4. [22 25]characterization of connected vertex magic total labeling graphs in...
4. [22 25]characterization of connected vertex magic total labeling graphs in...Alexander Decker
 
4. [22 25]characterization of connected vertex magic total labeling graphs in...
4. [22 25]characterization of connected vertex magic total labeling graphs in...4. [22 25]characterization of connected vertex magic total labeling graphs in...
4. [22 25]characterization of connected vertex magic total labeling graphs in...Alexander Decker
 
11.characterization of connected vertex magic total labeling graphs in topolo...
11.characterization of connected vertex magic total labeling graphs in topolo...11.characterization of connected vertex magic total labeling graphs in topolo...
11.characterization of connected vertex magic total labeling graphs in topolo...Alexander Decker
 
4. [22 25]characterization of connected vertex magic total labeling graphs in...
4. [22 25]characterization of connected vertex magic total labeling graphs in...4. [22 25]characterization of connected vertex magic total labeling graphs in...
4. [22 25]characterization of connected vertex magic total labeling graphs in...Alexander Decker
 
Review session2
Review session2Review session2
Review session2NEEDY12345
 
Iterative procedure for uniform continuous mapping.
Iterative procedure for uniform continuous mapping.Iterative procedure for uniform continuous mapping.
Iterative procedure for uniform continuous mapping.Alexander Decker
 
Problem Solving by Computer Finite Element Method
Problem Solving by Computer Finite Element MethodProblem Solving by Computer Finite Element Method
Problem Solving by Computer Finite Element MethodPeter Herbert
 
Redundancy in robot manipulators and multi robot systems
Redundancy in robot manipulators and multi robot systemsRedundancy in robot manipulators and multi robot systems
Redundancy in robot manipulators and multi robot systemsSpringer
 

Similar to EVEN GRACEFUL LABELLING OF A CLASS OF TREES (20)

ODD HARMONIOUS LABELINGS OF CYCLIC SNAKES
ODD HARMONIOUS LABELINGS OF CYCLIC SNAKESODD HARMONIOUS LABELINGS OF CYCLIC SNAKES
ODD HARMONIOUS LABELINGS OF CYCLIC SNAKES
 
On algorithmic problems concerning graphs of higher degree of symmetry
On algorithmic problems concerning graphs of higher degree of symmetryOn algorithmic problems concerning graphs of higher degree of symmetry
On algorithmic problems concerning graphs of higher degree of symmetry
 
Odd Harmonious Labelings of Cyclic Snakes
Odd Harmonious Labelings of Cyclic SnakesOdd Harmonious Labelings of Cyclic Snakes
Odd Harmonious Labelings of Cyclic Snakes
 
ON ALGORITHMIC PROBLEMS CONCERNING GRAPHS OF HIGHER DEGREE OF SYMMETRY
ON ALGORITHMIC PROBLEMS CONCERNING GRAPHS OF HIGHER DEGREE OF SYMMETRYON ALGORITHMIC PROBLEMS CONCERNING GRAPHS OF HIGHER DEGREE OF SYMMETRY
ON ALGORITHMIC PROBLEMS CONCERNING GRAPHS OF HIGHER DEGREE OF SYMMETRY
 
ENUMERATION OF 1-REGULAR SEMIGRAPHS OF ORDER p WITH THREE MUTUALLY ADJACENT m...
ENUMERATION OF 1-REGULAR SEMIGRAPHS OF ORDER p WITH THREE MUTUALLY ADJACENT m...ENUMERATION OF 1-REGULAR SEMIGRAPHS OF ORDER p WITH THREE MUTUALLY ADJACENT m...
ENUMERATION OF 1-REGULAR SEMIGRAPHS OF ORDER p WITH THREE MUTUALLY ADJACENT m...
 
Entropy based measures for graphs
Entropy based measures for graphsEntropy based measures for graphs
Entropy based measures for graphs
 
SUPER MAGIC CORONATIONS OF GRAPHS
SUPER MAGIC CORONATIONS OF GRAPHS SUPER MAGIC CORONATIONS OF GRAPHS
SUPER MAGIC CORONATIONS OF GRAPHS
 
Master Thesis on Rotating Cryostats and FFT, DRAFT VERSION
Master Thesis on Rotating Cryostats and FFT, DRAFT VERSIONMaster Thesis on Rotating Cryostats and FFT, DRAFT VERSION
Master Thesis on Rotating Cryostats and FFT, DRAFT VERSION
 
Graph theory concepts complex networks presents-rouhollah nabati
Graph theory concepts   complex networks presents-rouhollah nabatiGraph theory concepts   complex networks presents-rouhollah nabati
Graph theory concepts complex networks presents-rouhollah nabati
 
Proportional and decentralized rule mcst games
Proportional and decentralized rule mcst gamesProportional and decentralized rule mcst games
Proportional and decentralized rule mcst games
 
The Fourth Largest Estrada Indices for Trees
The Fourth Largest Estrada Indices for TreesThe Fourth Largest Estrada Indices for Trees
The Fourth Largest Estrada Indices for Trees
 
WaveletTutorial.pdf
WaveletTutorial.pdfWaveletTutorial.pdf
WaveletTutorial.pdf
 
4. [22 25]characterization of connected vertex magic total labeling graphs in...
4. [22 25]characterization of connected vertex magic total labeling graphs in...4. [22 25]characterization of connected vertex magic total labeling graphs in...
4. [22 25]characterization of connected vertex magic total labeling graphs in...
 
4. [22 25]characterization of connected vertex magic total labeling graphs in...
4. [22 25]characterization of connected vertex magic total labeling graphs in...4. [22 25]characterization of connected vertex magic total labeling graphs in...
4. [22 25]characterization of connected vertex magic total labeling graphs in...
 
11.characterization of connected vertex magic total labeling graphs in topolo...
11.characterization of connected vertex magic total labeling graphs in topolo...11.characterization of connected vertex magic total labeling graphs in topolo...
11.characterization of connected vertex magic total labeling graphs in topolo...
 
4. [22 25]characterization of connected vertex magic total labeling graphs in...
4. [22 25]characterization of connected vertex magic total labeling graphs in...4. [22 25]characterization of connected vertex magic total labeling graphs in...
4. [22 25]characterization of connected vertex magic total labeling graphs in...
 
Review session2
Review session2Review session2
Review session2
 
Iterative procedure for uniform continuous mapping.
Iterative procedure for uniform continuous mapping.Iterative procedure for uniform continuous mapping.
Iterative procedure for uniform continuous mapping.
 
Problem Solving by Computer Finite Element Method
Problem Solving by Computer Finite Element MethodProblem Solving by Computer Finite Element Method
Problem Solving by Computer Finite Element Method
 
Redundancy in robot manipulators and multi robot systems
Redundancy in robot manipulators and multi robot systemsRedundancy in robot manipulators and multi robot systems
Redundancy in robot manipulators and multi robot systems
 

More from Fransiskeran

SELECTIVE WATCHDOG TECHNIQUE FOR INTRUSION DETECTION IN MOBILE AD-HOC NETWORK
SELECTIVE WATCHDOG TECHNIQUE FOR INTRUSION DETECTION IN MOBILE AD-HOC NETWORKSELECTIVE WATCHDOG TECHNIQUE FOR INTRUSION DETECTION IN MOBILE AD-HOC NETWORK
SELECTIVE WATCHDOG TECHNIQUE FOR INTRUSION DETECTION IN MOBILE AD-HOC NETWORKFransiskeran
 
EQUIVALENT CONDITION AND TWO ALGORITHMS FOR HAMILTONIAN GRAPHS
EQUIVALENT CONDITION AND TWO ALGORITHMS FOR HAMILTONIAN GRAPHSEQUIVALENT CONDITION AND TWO ALGORITHMS FOR HAMILTONIAN GRAPHS
EQUIVALENT CONDITION AND TWO ALGORITHMS FOR HAMILTONIAN GRAPHSFransiskeran
 
IMPACT OF ENERGY AND LINK QUALITY INDICATOR WITH LINK QUALITY ESTIMATORS IN W...
IMPACT OF ENERGY AND LINK QUALITY INDICATOR WITH LINK QUALITY ESTIMATORS IN W...IMPACT OF ENERGY AND LINK QUALITY INDICATOR WITH LINK QUALITY ESTIMATORS IN W...
IMPACT OF ENERGY AND LINK QUALITY INDICATOR WITH LINK QUALITY ESTIMATORS IN W...Fransiskeran
 
CA-MWSN: CLUSTERING ALGORITHM FOR MOBILE WIRELESS SENOR NETWORK
CA-MWSN: CLUSTERING ALGORITHM FOR MOBILE WIRELESS SENOR NETWORKCA-MWSN: CLUSTERING ALGORITHM FOR MOBILE WIRELESS SENOR NETWORK
CA-MWSN: CLUSTERING ALGORITHM FOR MOBILE WIRELESS SENOR NETWORKFransiskeran
 
AN APPLICATION OF Gd -METRIC SPACES AND METRIC DIMENSION OF GRAPHS
AN APPLICATION OF Gd -METRIC SPACES AND METRIC DIMENSION OF GRAPHSAN APPLICATION OF Gd -METRIC SPACES AND METRIC DIMENSION OF GRAPHS
AN APPLICATION OF Gd -METRIC SPACES AND METRIC DIMENSION OF GRAPHSFransiskeran
 
METRIC DIMENSION AND UNCERTAINTY OF TRAVERSING ROBOTS IN A NETWORK
METRIC DIMENSION AND UNCERTAINTY OF TRAVERSING ROBOTS IN A NETWORKMETRIC DIMENSION AND UNCERTAINTY OF TRAVERSING ROBOTS IN A NETWORK
METRIC DIMENSION AND UNCERTAINTY OF TRAVERSING ROBOTS IN A NETWORKFransiskeran
 
SWARM INTELLIGENCE FROM NATURAL TO ARTIFICIAL SYSTEMS: ANT COLONY OPTIMIZATION
SWARM INTELLIGENCE FROM NATURAL TO ARTIFICIAL SYSTEMS: ANT COLONY OPTIMIZATIONSWARM INTELLIGENCE FROM NATURAL TO ARTIFICIAL SYSTEMS: ANT COLONY OPTIMIZATION
SWARM INTELLIGENCE FROM NATURAL TO ARTIFICIAL SYSTEMS: ANT COLONY OPTIMIZATIONFransiskeran
 
LADDER AND SUBDIVISION OF LADDER GRAPHS WITH PENDANT EDGES ARE ODD GRACEFUL
LADDER AND SUBDIVISION OF LADDER GRAPHS WITH PENDANT EDGES ARE ODD GRACEFULLADDER AND SUBDIVISION OF LADDER GRAPHS WITH PENDANT EDGES ARE ODD GRACEFUL
LADDER AND SUBDIVISION OF LADDER GRAPHS WITH PENDANT EDGES ARE ODD GRACEFULFransiskeran
 
A NOVEL INTRUSION DETECTION SYSTEM FOR DETECTING BLACK-HOLE NODES IN MANETS
A NOVEL INTRUSION DETECTION SYSTEM FOR DETECTING BLACK-HOLE NODES IN MANETSA NOVEL INTRUSION DETECTION SYSTEM FOR DETECTING BLACK-HOLE NODES IN MANETS
A NOVEL INTRUSION DETECTION SYSTEM FOR DETECTING BLACK-HOLE NODES IN MANETSFransiskeran
 
FURTHER RESULTS ON ODD HARMONIOUS GRAPHS
FURTHER RESULTS ON ODD HARMONIOUS GRAPHSFURTHER RESULTS ON ODD HARMONIOUS GRAPHS
FURTHER RESULTS ON ODD HARMONIOUS GRAPHSFransiskeran
 
The Neighborhood Broadcast Problem in Wireless Ad Hoc Sensor Networks
The Neighborhood Broadcast Problem in Wireless Ad Hoc Sensor NetworksThe Neighborhood Broadcast Problem in Wireless Ad Hoc Sensor Networks
The Neighborhood Broadcast Problem in Wireless Ad Hoc Sensor NetworksFransiskeran
 

More from Fransiskeran (12)

SELECTIVE WATCHDOG TECHNIQUE FOR INTRUSION DETECTION IN MOBILE AD-HOC NETWORK
SELECTIVE WATCHDOG TECHNIQUE FOR INTRUSION DETECTION IN MOBILE AD-HOC NETWORKSELECTIVE WATCHDOG TECHNIQUE FOR INTRUSION DETECTION IN MOBILE AD-HOC NETWORK
SELECTIVE WATCHDOG TECHNIQUE FOR INTRUSION DETECTION IN MOBILE AD-HOC NETWORK
 
EQUIVALENT CONDITION AND TWO ALGORITHMS FOR HAMILTONIAN GRAPHS
EQUIVALENT CONDITION AND TWO ALGORITHMS FOR HAMILTONIAN GRAPHSEQUIVALENT CONDITION AND TWO ALGORITHMS FOR HAMILTONIAN GRAPHS
EQUIVALENT CONDITION AND TWO ALGORITHMS FOR HAMILTONIAN GRAPHS
 
IMPACT OF ENERGY AND LINK QUALITY INDICATOR WITH LINK QUALITY ESTIMATORS IN W...
IMPACT OF ENERGY AND LINK QUALITY INDICATOR WITH LINK QUALITY ESTIMATORS IN W...IMPACT OF ENERGY AND LINK QUALITY INDICATOR WITH LINK QUALITY ESTIMATORS IN W...
IMPACT OF ENERGY AND LINK QUALITY INDICATOR WITH LINK QUALITY ESTIMATORS IN W...
 
CA-MWSN: CLUSTERING ALGORITHM FOR MOBILE WIRELESS SENOR NETWORK
CA-MWSN: CLUSTERING ALGORITHM FOR MOBILE WIRELESS SENOR NETWORKCA-MWSN: CLUSTERING ALGORITHM FOR MOBILE WIRELESS SENOR NETWORK
CA-MWSN: CLUSTERING ALGORITHM FOR MOBILE WIRELESS SENOR NETWORK
 
AN APPLICATION OF Gd -METRIC SPACES AND METRIC DIMENSION OF GRAPHS
AN APPLICATION OF Gd -METRIC SPACES AND METRIC DIMENSION OF GRAPHSAN APPLICATION OF Gd -METRIC SPACES AND METRIC DIMENSION OF GRAPHS
AN APPLICATION OF Gd -METRIC SPACES AND METRIC DIMENSION OF GRAPHS
 
METRIC DIMENSION AND UNCERTAINTY OF TRAVERSING ROBOTS IN A NETWORK
METRIC DIMENSION AND UNCERTAINTY OF TRAVERSING ROBOTS IN A NETWORKMETRIC DIMENSION AND UNCERTAINTY OF TRAVERSING ROBOTS IN A NETWORK
METRIC DIMENSION AND UNCERTAINTY OF TRAVERSING ROBOTS IN A NETWORK
 
SWARM INTELLIGENCE FROM NATURAL TO ARTIFICIAL SYSTEMS: ANT COLONY OPTIMIZATION
SWARM INTELLIGENCE FROM NATURAL TO ARTIFICIAL SYSTEMS: ANT COLONY OPTIMIZATIONSWARM INTELLIGENCE FROM NATURAL TO ARTIFICIAL SYSTEMS: ANT COLONY OPTIMIZATION
SWARM INTELLIGENCE FROM NATURAL TO ARTIFICIAL SYSTEMS: ANT COLONY OPTIMIZATION
 
LADDER AND SUBDIVISION OF LADDER GRAPHS WITH PENDANT EDGES ARE ODD GRACEFUL
LADDER AND SUBDIVISION OF LADDER GRAPHS WITH PENDANT EDGES ARE ODD GRACEFULLADDER AND SUBDIVISION OF LADDER GRAPHS WITH PENDANT EDGES ARE ODD GRACEFUL
LADDER AND SUBDIVISION OF LADDER GRAPHS WITH PENDANT EDGES ARE ODD GRACEFUL
 
A NOVEL INTRUSION DETECTION SYSTEM FOR DETECTING BLACK-HOLE NODES IN MANETS
A NOVEL INTRUSION DETECTION SYSTEM FOR DETECTING BLACK-HOLE NODES IN MANETSA NOVEL INTRUSION DETECTION SYSTEM FOR DETECTING BLACK-HOLE NODES IN MANETS
A NOVEL INTRUSION DETECTION SYSTEM FOR DETECTING BLACK-HOLE NODES IN MANETS
 
FURTHER RESULTS ON ODD HARMONIOUS GRAPHS
FURTHER RESULTS ON ODD HARMONIOUS GRAPHSFURTHER RESULTS ON ODD HARMONIOUS GRAPHS
FURTHER RESULTS ON ODD HARMONIOUS GRAPHS
 
The Neighborhood Broadcast Problem in Wireless Ad Hoc Sensor Networks
The Neighborhood Broadcast Problem in Wireless Ad Hoc Sensor NetworksThe Neighborhood Broadcast Problem in Wireless Ad Hoc Sensor Networks
The Neighborhood Broadcast Problem in Wireless Ad Hoc Sensor Networks
 
9217graphhoc01
9217graphhoc019217graphhoc01
9217graphhoc01
 

Recently uploaded

internship ppt on smartinternz platform as salesforce developer
internship ppt on smartinternz platform as salesforce developerinternship ppt on smartinternz platform as salesforce developer
internship ppt on smartinternz platform as salesforce developerunnathinaik
 
MARGINALIZATION (Different learners in Marginalized Group
MARGINALIZATION (Different learners in Marginalized GroupMARGINALIZATION (Different learners in Marginalized Group
MARGINALIZATION (Different learners in Marginalized GroupJonathanParaisoCruz
 
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...Marc Dusseiller Dusjagr
 
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdfssuser54595a
 
भारत-रोम व्यापार.pptx, Indo-Roman Trade,
भारत-रोम व्यापार.pptx, Indo-Roman Trade,भारत-रोम व्यापार.pptx, Indo-Roman Trade,
भारत-रोम व्यापार.pptx, Indo-Roman Trade,Virag Sontakke
 
Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon AUnboundStockton
 
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTiammrhaywood
 
Pharmacognosy Flower 3. Compositae 2023.pdf
Pharmacognosy Flower 3. Compositae 2023.pdfPharmacognosy Flower 3. Compositae 2023.pdf
Pharmacognosy Flower 3. Compositae 2023.pdfMahmoud M. Sallam
 
Alper Gobel In Media Res Media Component
Alper Gobel In Media Res Media ComponentAlper Gobel In Media Res Media Component
Alper Gobel In Media Res Media ComponentInMediaRes1
 
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdfFraming an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdfUjwalaBharambe
 
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxiammrhaywood
 
KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...
KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...
KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...M56BOOKSTORE PRODUCT/SERVICE
 
Solving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxSolving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxOH TEIK BIN
 
CELL CYCLE Division Science 8 quarter IV.pptx
CELL CYCLE Division Science 8 quarter IV.pptxCELL CYCLE Division Science 8 quarter IV.pptx
CELL CYCLE Division Science 8 quarter IV.pptxJiesonDelaCerna
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxNirmalaLoungPoorunde1
 
Meghan Sutherland In Media Res Media Component
Meghan Sutherland In Media Res Media ComponentMeghan Sutherland In Media Res Media Component
Meghan Sutherland In Media Res Media ComponentInMediaRes1
 
Roles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceRoles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceSamikshaHamane
 

Recently uploaded (20)

internship ppt on smartinternz platform as salesforce developer
internship ppt on smartinternz platform as salesforce developerinternship ppt on smartinternz platform as salesforce developer
internship ppt on smartinternz platform as salesforce developer
 
Model Call Girl in Bikash Puri Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Bikash Puri  Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Bikash Puri  Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Bikash Puri Delhi reach out to us at 🔝9953056974🔝
 
MARGINALIZATION (Different learners in Marginalized Group
MARGINALIZATION (Different learners in Marginalized GroupMARGINALIZATION (Different learners in Marginalized Group
MARGINALIZATION (Different learners in Marginalized Group
 
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
“Oh GOSH! Reflecting on Hackteria's Collaborative Practices in a Global Do-It...
 
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
18-04-UA_REPORT_MEDIALITERAСY_INDEX-DM_23-1-final-eng.pdf
 
भारत-रोम व्यापार.pptx, Indo-Roman Trade,
भारत-रोम व्यापार.pptx, Indo-Roman Trade,भारत-रोम व्यापार.pptx, Indo-Roman Trade,
भारत-रोम व्यापार.pptx, Indo-Roman Trade,
 
9953330565 Low Rate Call Girls In Rohini Delhi NCR
9953330565 Low Rate Call Girls In Rohini  Delhi NCR9953330565 Low Rate Call Girls In Rohini  Delhi NCR
9953330565 Low Rate Call Girls In Rohini Delhi NCR
 
Crayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon ACrayon Activity Handout For the Crayon A
Crayon Activity Handout For the Crayon A
 
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPTECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
ECONOMIC CONTEXT - LONG FORM TV DRAMA - PPT
 
Pharmacognosy Flower 3. Compositae 2023.pdf
Pharmacognosy Flower 3. Compositae 2023.pdfPharmacognosy Flower 3. Compositae 2023.pdf
Pharmacognosy Flower 3. Compositae 2023.pdf
 
Alper Gobel In Media Res Media Component
Alper Gobel In Media Res Media ComponentAlper Gobel In Media Res Media Component
Alper Gobel In Media Res Media Component
 
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdfFraming an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
Framing an Appropriate Research Question 6b9b26d93da94caf993c038d9efcdedb.pdf
 
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptxECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
ECONOMIC CONTEXT - PAPER 1 Q3: NEWSPAPERS.pptx
 
KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...
KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...
KSHARA STURA .pptx---KSHARA KARMA THERAPY (CAUSTIC THERAPY)————IMP.OF KSHARA ...
 
Solving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptxSolving Puzzles Benefits Everyone (English).pptx
Solving Puzzles Benefits Everyone (English).pptx
 
CELL CYCLE Division Science 8 quarter IV.pptx
CELL CYCLE Division Science 8 quarter IV.pptxCELL CYCLE Division Science 8 quarter IV.pptx
CELL CYCLE Division Science 8 quarter IV.pptx
 
Employee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptxEmployee wellbeing at the workplace.pptx
Employee wellbeing at the workplace.pptx
 
ESSENTIAL of (CS/IT/IS) class 06 (database)
ESSENTIAL of (CS/IT/IS) class 06 (database)ESSENTIAL of (CS/IT/IS) class 06 (database)
ESSENTIAL of (CS/IT/IS) class 06 (database)
 
Meghan Sutherland In Media Res Media Component
Meghan Sutherland In Media Res Media ComponentMeghan Sutherland In Media Res Media Component
Meghan Sutherland In Media Res Media Component
 
Roles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in PharmacovigilanceRoles & Responsibilities in Pharmacovigilance
Roles & Responsibilities in Pharmacovigilance
 

EVEN GRACEFUL LABELLING OF A CLASS OF TREES

  • 1. International Journal on Applications of Graph Theory in Wireless Ad hoc Networks and Sensor Networks(GRAPH-HOC) Vol.7, No.4, December 2015 DOI : 10.5121/jgraphoc.2015.7401 1 EVEN GRACEFUL LABELLING OF A CLASS OF TREES Mathew Varkey T.K and Rajesh Kumar T.J Department of Mathematics,T.K.M College of Engineering, Kollam, Kerala, India ABSTRACT A labelling or numbering of a graph G with q edges is an assignment of labels to the vertices of G that induces for each edge uv a labelling depending on the vertex labels f(u) and f(v). A labelling is called a graceful labelling if there exists an injective function f: V (G) → {0, 1,2,......q} such that for each edge xy, the labelling │f(x)-f(y)│is distinct. In this paper, we prove that a class of Tn trees are even graceful. Key Words: labelling, even graceful graph, tree. AMS (2010):05C78 1 INTRODUCTION In this paper, we consider the finite graphs which are simple and undirected. We follow Harary [1] for basic definitions and notations in graph theory and Gallian [3] for all terminology regarding graceful labelling. Now a days, graph theory based results are using in every field of engineering and science. Graph labelling is one of the important areas in graph theory. There exist so many practical problems based on graph labelling. Graph labelling methods are used for application problems in communication network addressing system, database management, circuit designs, coding theory, X-ray crystallography, the design of good radar type codes, synch set codes, missile guidance codes and radio astronomy problems etc. Bloom and Golomb [2] presents graph labelling problems in various applications. Graph labelling can also use for issues in mobile Ad hoc networks. In Ad hoc networks issues such as connectivity, scalability, routing, modelling the network and simulation are to be considered. For analyzing the issues in the Ad hoc network, it can be modelled as a graph. The model can be used to analyze the issues such as node density, mobility among the nodes and link information between the nodes. In this paper, we apply even graceful labelling on elementary parallel transformation. Using elementary parallel transformation we have to join a new path between any two disconnected nodes by transforming the edges under certain conditions and form a Hamiltonian path. For even graceful labelling, there is no change in the labelling on edges when we transform an edge in elementary parallel transformation. In [5] Mathew Varkey.T.K and Shajahan.A proved that parallel transformation of tree are magic and also find their magic strength and super magic. In [6] it is proved that the parallel transformation of tree generates a class of super mean graph and the Tn class of trees are mean graph and odd mean graph.
  • 2. International Journal on Applications of Graph Theory in Wireless Ad hoc Networks and Sensor Networks(GRAPH-HOC) Vol.7, No.4, December 2015 2 Definition 1. A graph G = (V(G),E(G)) is said to admit even graceful labelling if f:V(G) → {0, 1, 2, 3, ......, 2q-1} injective and the induced function f * : E(G) → {2, 4, 6, ......, 2q-2} defined as f * (uv) = |f (u) − f (v)| is bijective .A graph which admits even graceful labelling is called an even graceful graph. 2 ON Tn CLASS OF TREES Definition 2. ([4]) Let T be a tree and x and y be two adjacent vertices in T. Let there be two end vertices (non adjacent vertices of degree one) x1, y1 in T such that the length of the path x-x1 is equal to the length of the path y-y1. If the edge xy is deleted from T and x1, y1 are joined by an edge x1y1, then such a transformations of the edge from xy to x1y1 is called an elementary parallel transformation (or an EPT of T) and the edge xy is called a transformable edge. Definition 3. ([4]) If a sequence of EPT’s, the tree, T can be reduced to a Hamiltonian path, then T is called a Tn tree(transformed tree) and such a Hamiltonian path is denoted as P H (T ). Any such sequence regarded as a composition mapping EPT’s denoted by P is called parallel transformation of T. Consider the Tn tree as follows in figure 1. Figure- 1 Using a sequence of three EPT’s the edges d1, d2, d3 in figure 1 are replaced by edges e1, e2, e3. The tree can be reduced to a Hamiltonian path as shown in the figure 2.
  • 3. International Journal on Applications of Graph Theory in Wireless Ad hoc Networks and Sensor Networks(GRAPH-HOC) Vol.7, No.4, December 2015 3 Figure- 2 Theorem 1. Every Tn tree is even graceful. Proof: Let T be a Tn tree with n+1 vertices. By definition there exists a path P H (T) corresponding to Tn. Using EPT’s, for forming the Hamiltonian path PH (T) the set of edges Ed = {d1, d2, d3... dr} can be deleted from tree T and Ep is the set of edges newly added through the sequence {e1, e2, e3... ...,er} . Clearly Ep and Ed have the same number of edges. The number of vertices of T and the number of vertices of Hamiltonian path are same and edges of the Hamiltonian path is {E (T) −Ed} U EP. Now denote the vertices of PH (T ) successively as v1, v2, v3, ...., vn+1 starting from one pendant vertex of PH (T ) right up to other . Consider the vertex numbering of f: V (P H (T)) → {0, 1, 2, 3, ......., 2q-1} as follows ݂ሺ‫ݒ‬௜ሻ = ቐ 2 ቂ ௜ିଵ ଶ ቃ ݂݅ ݅ ݅‫,݀݀݋ ݏ‬ 1 ≤ ݅ ≤ ݊ + 1 2‫ݍ‬ − 2 ቂ ௜ିଶ ଶ ቃ ݅ ݅‫,݊݁ݒ݁ ݏ‬ 2 ≤ ݅ ≤ ݊ + 1 where [ ] denote the integral part. Clearly f is an injective function.
  • 4. International Journal on Applications of Graph Theory in Wireless Ad hoc Networks and Sensor Networks(GRAPH-HOC) Vol.7, No.4, December 2015 4 Let gf ∗(uv) = |f (u) − f (v)| be the induced mapping defined from the edge set of P H (T) into the set {2, 4, 6, ......, 2q-2} whenever uv is an edge in P H (T ). Since P H (T) is a path, consider an arbitrary edge in P H (T) is of the form vivi+1, i=1, 2,........., 2q. Case (1): when i is even, then gf * (vi,vi+1) = |݂ሺ‫ݒ‬௜ሻ − ݂ሺ‫ݒ‬௜ାଵሻ| = ቚ2‫ݍ‬ − 2 ቂ ௜ିଶ ଶ ቃ − 2 ቂ ௜ାଵିଵ ଶ ቃቚ = ቚ2‫ݍ‬ − 2 ቂ ௜ିଶ ଶ ቃ − 2 ቂ ௜ ଶ ቃቚ = ቚ2‫ݍ‬ − 2 ቂ ௜ିଶା௜ ଶ ቃቚ = ቚ2‫ݍ‬ − 2 ቂ ଶ௜ିଶ ଶ ቃቚ = ቚ2‫ݍ‬ − 4 ቂ ௜ିଵ ଶ ቃቚ .................................. (1) Case (2): when n is odd, then gf * (vi,vi+1) = |݂ሺ‫ݒ‬௜ሻ − ݂ሺ‫ݒ‬௜ାଵሻ| = ቚ2 ቂ ௜ିଵ ଶ ቃ − ሺ2‫ݍ‬ − 2 ቂ ௜ାଵିଶ ଶ ቃሻቚ = ቚ2 ቂ ௜ିଵ ଶ ቃ − 2‫ݍ‬ + 2 ቂ ௜ିଵ ଶ ቃቚ = ቚ2‫ݍ‬ − 4 ቂ ௜ିଵ ଶ ቃቚ ............................... (2) From equation (1) and (2), we get for all i, gf * (vi,vi+1) = ቚ2‫ݍ‬ − 4 ቂ ௜ିଵ ଶ ቃቚ ................................(3) It is clear that gf ∗ is injective and its range is {2, 4, 6,......, 2q}. Then f is even graceful on P H (T). In order to prove that f is also even graceful on Tn, it is enough to show that gf ∗(ds) = gf ∗(es). Let ds = vivj , 1 ≤ i ≤ n + 1; 1 ≤ j ≤ n + 1 be an edge of T and ds be deleted and es be the corresponding edge joined to obtain P H (T) at a distance k from ui and uj .Then es = vi+kvj−k. Since es is an edge in P H (T), it must be of the form es = vi+kvi+k+1 . We have (vi+k, vj−k) = (vi+k, vi+k+1), this implies j-k = i+k+1 j= i+2k+1 one of i,j is odd and other is even. Case (1): when i is even, 2≤ ݅ ≤ ݊. gf * (ds) = gf * (vi,vj) = gf * (vi,vi+2k+1) = |݂ሺ‫ݒ‬௜ሻ − ݂ሺ‫ݒ‬௜ାଶ௞ାଵሻ|
  • 5. International Journal on Applications of Graph Theory in Wireless Ad hoc Networks and Sensor Networks(GRAPH-HOC) Vol.7, No.4, December 2015 5 = ቚ2‫ݍ‬ − 2 ቂ ௜ିଶ ଶ ቃ − 2 ቂ ௜ାଶ௞ାଵିଵ ଶ ቃቚ = ቚ2‫ݍ‬ − 2 ቂ ௜ିଶ ଶ ቃ − 2 ቂ ௜ାଶ௞ ଶ ቃቚ = |2‫ݍ‬ − ሺ2݅ + 2݇ − 2ሻ| = |2‫ݍ‬ − 2ሺ݅ + ݇ − 1ሻ| = |2ሺ‫ݍ‬ − ݅ − ݇ + 1ሻ| ........................ (4) Case (2): when i is odd, 1 ≤ ݅ ≤ ݊ gf * (ds) = |݂ሺ‫ݒ‬௜ሻ − ݂ሺ‫ݒ‬௜ାଶ௞ାଵሻ| = ቚ2 ቂ ௜ିଵ ଶ ቃ − ሺ2‫ݍ‬ − 2 ቂ ௜ାଶ௞ାଵିଶ ଶ ቃሻቚ = ቚ2 ቂ ௜ିଵ ଶ ቃ + 2 ቂ ௜ାଶ௞ିଵ ଶ ቃ − 2‫ݍ‬ቚ = |2ሺ݅ + ݇ − 1ሻ − 2‫|ݍ‬ = |2‫ݍ‬ − 2ሺ݅ + ݇ − 1ሻ| = |2ሺ‫ݍ‬ − ݅ − ݇ + 1ሻ| ........................ (5) From (4) and (5) it follows that gf * (ds) = |2ሺ‫ݍ‬ − ݅ − ݇ + 1ሻ| ,1 ≤ ݅ ≤ ݊ ..........(6) Now, gf * (es) = gf * (vi+k,vj-k) = gf * (vi+k,vi+k+1) = |݂ሺ‫ݒ‬௜ା௞ሻ − ݂ሺ‫ݒ‬௜ା௞ାଵሻ| = ቚ2‫ݍ‬ − 2 ቂ ௜ା௞ିଶ ଶ ቃ − 2 ቂ ௜ା௞ାଵିଵ ଶ ቃቚ = |2‫ݍ‬ − 2ሺ݅ + ݇ − 1ሻ| = |2ሺ‫ݍ‬ − ݅ − ݇ + 1ሻ|, 11 ≤ ݅ ≤ ݊ ........ (7) From (6) and (7) gf * (es) = gf * (ds) Then f is even graceful on Tn also. Hence the graph Tn tree is even graceful. Example: Even graceful labelling of the tree in figure 1 is shown below.
  • 6. International Journal on Applications of Graph Theory in Wireless Ad hoc Networks and Sensor Networks(GRAPH-HOC) Vol.7, No.4, December 2015 6 Figure- 3 Algorithm The Tn tree has n+1 vertices and q edges. Let the class of tree Tn is demonstrated by listing the vertices and edges in the order v1e1v2e2.............vq−1eq−1vq eqvq+1.The algorithm starts at the vertex v1 and label the vertex with the value f (v1) = 0.Then traverses to the next vertex and label it with the value f (v2) = 2q, traverses to the next vertex and label it with the value f (v3) = 2, traverses to the next vertex and label it with the value f (v4) = 2q−2 and so on. Let x1 and y1 be the two vertexes which have no path for connection. As in the definition of elementary parallel transformation joining x1 and y1 by an edge. Then the tree can be reduced to a Hamiltonian path v1e1v2e2..................‫ݒ‬௫భ , ௘ೣభ , ௩ೣభశభ ........eq vq+1. Then label the vertices ‫ݒ‬௫భ and ‫ݒ‬௫భశభ as in the same procedure given above. The edge labelling is the absolute value of the difference between the vertex labelling. To label the Tn trees even graceful, perform the following operations starting with u1 Number the vertex u1 with the value f (u1) = 0. For (i = 3, i ≤ q + 1, i+ = 2) 14 22 4 20 24 18 6 16 8 18 8 10 10 20 12 12 4 16 2 14 26 24 2 26 28 28 0 22 6
  • 7. International Journal on Applications of Graph Theory in Wireless Ad hoc Networks and Sensor Networks(GRAPH-HOC) Vol.7, No.4, December 2015 7 f (ui) = f (ui−2) + 2 For (i = 2, i ≤ q, i+ = 2) f (ui) = 2q − i + 2 REFERENCES [1] F.Harary, Graph Theory, Addision Wesley, Reading, M.A, 1969. [2] G.S.Bloom and S.W.Golomb, Pro.of the IEEE.165(4),(1977)562-70. [3] Joseph A.Gallian, A dynamic survey of Graph Labeling, The Electronic Journal of Combinatorics, 17(2014). [4] Mathew Varkey.T.K, Graceful labelling of a class of trees, Proceedings of the National seminar on Algebra and Discrete Mathematics, Department of of Mathematics, University of Kerala, Trivandrum, Kerala, November 2003. [5] Mathew Varkey.T.K and Shajahan.A, On labelling of parallel transformation of a class of trees, Bulletin of Kerala Mathematical Association Vol.5 No.1 (June 2009)49-60. [6] Teena Liza John, A study on different classes of graphs and their labelling, PhD Thesis, M.G University, Kerala, 2014.