Indian Journal of Science and Technology, Vol 8(36), DOI: 10.17485/ijst/2015/v8i36/79389, December 2015 ISSN (Print) : 0974-6846 ISSN (Online) : 0974-5645 Mean Labeling in Extended Duplicate Graph of Twig B. Selvam* and K. Thirusangu Department of Mathematics, S.I.V.E.T. College, Gowrivakkam, Chennai – 600 073, India; [email protected], [email protected] Abstract In this paper, we prove that the extended duplicate graph of twig is mean labeling. Keywords: Extended Duplicate Graphs, Graph Labeling, Mean Labeling 1. Introduction Graph theory is the fast growing area of combinatorics. Graph labeling is an assignment of integers to the vertices or edges or both subject to certain conditions. Labeled graphs serve as useful models for a wide range of applications such as data security, communications networks, X-ray, radar, circuit design and data base management. After the introduction of graph labeling, various labeling of graphs such as graceful labeling, cordial labeling, prime cordial labeling. magic labeling, anti magic labeling etc., have been studied in over 1400 papers1. Graphs that are considered in this paper are finite, simple and undirected graph G = (V, E) having p vertices and q edges. Several researchers refer to Rosa’s2 work. In6,7, Somasundaram and Ponraj introduced the idea of mean labeling of graphs. In their work, they have shown that the graphs Pn, Cn, K2,n and K2 + mK1 are mean graphs. We will provide some definitions which are necessary for this paper. 1.1 Twig A graph G(V, E) obtained from a path by attaching exactly two pendent edges to each internal vertices of the path is called a Twig graph, where m is the internal vertices. In general, a twig Tm has 3m + 2 vertices and 3m + 1 edges. *Author for correspondence 1.2 Duplicate Graph Let G (V, E) be a simple graph and the duplicate graph of G is DG = (V1, E1),where the vertex set V1 = V ∪ V′ and V ∩ V′ = f and f : V → V′ is bijective (for v ∈ V, we write f(v) = v′ for convenience) and the edge set E1 of DG is defined as the edge ab is in E if and only if both ab′ and a′b are edges in E1. It is evident that the duplicate graph of path graph is disconnected. 1.3 Extended Duplicate Graph If G (V, E) is a Twig graph Tm , the duplicate graph of G is DG = (V1, E1) where the vertex set V1 = V ∪ V′ and V ∩ V′ = f be a duplicate graph of a Twig Tm. By adding an edge between any one vertex from V to any other vertex in V′, except the terminal vertices of V and V′. For convenience, let us take v2 ∈ V and v′2 ∈ V′ and thus the edge (v2, v′2) is formed. Call this new graph as the Extended Duplicate Graph of the Twig Tm and it is denoted as EDG (Tm).3-5 1.4 Mean Labeling For a graph G having p vertices and q edges is called a mean labeling, if there is an injective function f from the vertices of G to {0,1,2, …,q} such that each edge uv ( f (u) + f (v )) is labeled as if f (u) + f (v) is even and uv 2 ( f (u) + f (v ) + 1) labeled as if f (u) + f (v) is odd, then the 2 obtaining edge labels are different. Mean Labeling in Extended Duplicate Graph of Twig 2. Main Results vertices v1, v2, v3, ……, v3m, v3m+1 , v3m+2 receive labeled 0, 6m + 2, 2, 4, 6, 6m, 6m – 2, 6m – 4, 8, 10, 12,……., 3m + 6, 3m + 4, 3m + 2 and the vertices v′1, v′2, v′3, v′4, v′5, v′6, v′7, v′8, … v′3m, v′3m+1, v′3m+2 receive consecutive odd numbers labeled 6m+3, 1, 6m + 1, 6m – 1 ,6m – 3, 3, 5, 7, …….., 3m – 3, 3m – 1 and 3m + 1. 2.1 Mean Labeling In this section, we now present an algorithm and prove the existence of Mean labeling for EDG(Tm). Algorithm Procedure (mean labeling for EDG(Tm)) Case 2: If m = 2n – 1; n Œ N, the vertices v1, v2, v′ 1 and v′2 receive label 0, 6m + 2, 6m + 3 and 1 respectively; the vertices v3+j+6i receive label 6i + 2 + 2j and the vertices v′3+j+6i V ← {v1, v2, …, v3m, v3m+1, v3m+2, v′1, v′2, … v′3m, v′3m+1, v′3m+2} E ← {e1, e2, …, e3m, e3m+1, e3m+2, e′1, e′2, … e′3m, e′3m+1} v1 ← 0; v2 ← 6m + 2; v′1 ← 6m + 3; v′2 ← 1; if (m = 2n) for i = 0 to (m – 2)/2 do for j = 0 to 2 do v3+j+6i ← 6i + 2 + 2j; v6+j+6i ← 6m – 6i – 2j; v′3+j+6i ← 6m + 6i + 1 – 2j; v′6+j+6i ← 6i + 3 + 2j; end for end for else for i = 0 to (m – 1)/2 do for j = 0 to 2 do v3+j+6i ← 6i + 2 + 2j; v′3+j+6i ← 6m + 6i + 1 – 2j; end for end for for i = 0 to (m – 3)/2 do for j = 0 to 2 do v6+j+6i ← 6m – 6i – 2j; v′6+j+6i ← 6i + 3 + 2j; end for end for end if end procedure receive label 6m + 6i + 1 – 2j for 0 ≤ i ≤ (m – 1)/2 and 0 ≤ j ≤ 2; the vertices v6+j+6i receive label 6m – 6i – 2j and the vertices v′6+j+6i receive label 6i + 3 + 2j for 0 ≤ i ≤ (m – 3)/2 and 0 ≤ j ≤ 2. Hence all the 6m + 4 vertices are labeled such that the vertices v1, v2, v3, ,……, v3m, v3m+1 receive 0; 6m + 2, 2, 4, 6, 6m, 6m – 2, 6m – 4, 8, 10, 12, ……..,3m – 1, 3m + 1, 3m + 3 and the vertices v′1, v′2, v′3, v′4, v′5, v′6, v′7, v′8, … v′3m, v′3m+1, v′3m+2 receive labeled 6m + 3, 1, 6m + 1, 6m – 1, 6m – 3, 3, 5, 7,…….., 3m + 4, 3m + 2, 3m. Now we define the induced function f * : E → N as follows f* 0 v1 1 14 v2 2 v3 Case 1: If m = 2n; n Œ N, the vertices v1, v2, v′1 and v′2 receive label 0, 6m + 2, 6m + 3 and 1 respectively; the vertices v3+j+6i receive label 6i + 2 + 2j for 0 ≤ i ≤ (m – 2)/2 and 0 ≤ j ≤ 2; the vertices v6+j+6i receive label 6m – 6i – 2j; the vertices v′3+j+6i receive label 6m + 6i + 1 – 2j; the vertices v′6+j+6i receive label 6i + 3 + 2j. Hence all the 6m + 4 Vol 8 (36) | December 2015 | www.indjst.org ( ) if f (v i ) + f (v j ) is even if f (v i ) + f (v j ) is odd; v i , v j ∈V. The induced function gives the consecutive numbers 0, 1, 2 …, 3m – 1, 3m, 3m + 1, 3m + 2 for the edges e1, e2, 2 3 4 v4 4 6 v5 Theorem : For a twig Tm , m ≥ 1 , the extended duplicate11 12 v6 graph of is mean labeling. 10 10 vver7 Proof: Let Tm, m ≥ 1 be a twig. In order to label the 9 tices, define a function f : V → {1, 2, …, 6m + 3} as given 8 v8 in algorithm. 2 f (v i ) + f (v j ) 2 vi v j = + f (v j ) + 1) ( f ( v ) i 2 15 v1 15 8 0 v v12 1 1 14 14 v2 v3 13 8 13 2 2 12 v3 v 4 11 3 4 v4 v 45 9 5 6 v5 6 v 6 3 11 12 v6 7 v 7 10 5 10 v7 v98 7 8 v8 21 v1 0 v1 1 15 v1 15 20 v2 v 2 2 v3 14 13 v 3 12 v 4 1 13 11 11 2 3 4 v4 4 6 v5 18 v6 17 21 0 v1v 2 11 20 20 19v2v3 19 2 18 2 v3v 4 17 3 54 v4v5 415 66 v5v 6 3 16 v5 9 5 17 16 v7 18 7 v6 15 v7 6 v 6 3 5 16 14 v 8 16 v 7 14 v8 15 7 v7 8 7 5 8 v9 v 14 v 8 13 9 8 7 v9 813 8 10v10 7 8 v9 10 12 1(a) v10 911 12v11 (a) (b) 10v10 10 1(a) v11 1(b) 12v11 9 Figure 1. Mean labeling for EDG(T2) and EDG(T3). Figure 1. Mean labeling for EDG(T2) and EDG(T3). 1(b) Indian Journal of Science and Technology 21 v1 11 20 19 v 2 v 3 18 v 4 2 1 1 1 v5 1 v 6 3 v 7 5 14 v8 7 5 6 7 13 12 Figure 1. Mean labeling for EDG(T2) and EDG(T3). v9 1 v10 1 v11 9 B. Selvam and K. Thirusangu e3, …, e3m-1, e3m, e3m+1, e3m+2 and the consecutive numbers 3m + 3, 3m + 4, 3m + 5, …, 6m, 6m + 1, 6m + 2, 6m + 3 for the edges e′3m+1, e′3m, e′3m–1, …, e′4, e′3, e′2 and e′1. Hence all the 6m + 3 edges are 1, 2, 3 …, 6m, 6m + 1, 6m + 2, 6m + 3, which are all different. Thus , the extended duplicate graph of Tm, m ≥ 1, is mean labeling. Example: Mean labeling for graphs EDG(T2) and EDG(T3) are shown in Figures 1(a) and 1(b) respectively. 3. References 1. Gallian JA. A Dynamic Survey of graph labeling. The Electronic Journal of combinatories. 2012; 19: # DS6. 2. Rosa A. On certain Valuations of the vertices of a graph. Theory of graphs (Internat. Symposium, Rome, July Vol 8 (36) | December 2015 | www.indjst.org 3. 4. 5. 6. 7. 1966), Gordon and Breech, N.Y. and Dunod paris. 1967. p. 349– 55. Selvam B, Thirusangu K, Ulaganathan PP. Odd and Even graceful labelings in extended duplicate twig graphs. International Journal of Applied Engineering Research. 2011 Apr; 6(8):1075–85. Selvam B, Thirusangu K, Ulaganathan PP. (a,d)- antimagic labelings in extended duplicate twig graphs. Indian Journal of Science and Technology. 2011; 4(2):112–15. Selvam B, Thirusangu K, Ulaganathan PP. Felicitious labeling in extended duplicate twig graphs. Indian Journal of Science and Technology. 2011; 4(5):586–89. Somasundaram S, Ponraj R. Mean labelings of graphs. National Academic . Science. Let. 2003; 26(7-8):210–13. Somasundaram S, Ponraj R. Some results on mean graphs. Pure and Applied Mathematical Sciences. 2003; 58(1/2):29–35. Indian Journal of Science and Technology 3
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