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# An alternative approach for the anti-magic labelling of a wheel graph and a pendant graph

#### K. M. P. G. S. C. Kapuhennayake,

##### About K. M. P. G. S. C.
Department of Mathematics, Faculty of Science

#### A. A. I. Perera

##### About A. A. I.
Department of Mathematics, Faculty of Science

## Abstract

The Anti-magic labelling of a graph G with m edges and vertices, is a bijection from the set of edges to the set of integers {1, …, m}  such that all ‘n’ vertex summations are pairwise distinct. The vertex summation is the summation of the labels assigned to edges incident to a vertex. There is a conjecture that all simple connected graphs except K2 are anti-magic. In our research, we found an alternative anti-magic labelling method for a wheel graph and a pendant graph. Wheel graph is a graph that contains a cycle of length n - 1 and for which every graph vertex in the cycle is connected to one other graph vertex known as the “hub”. The edges of a wheel, which connect to the hub are called “spokes”. Pendant graph is a corona of the form CnʘK1 where n  ≥ 3. We label both wheel graph and pendant graph using the concept of the anti-magic labelling method of the path graph Pn-1. For wheel graph, we removed the middle vertex of the wheel graph and created a path graph using the vertices in the outer cycle of the wheel graph. Then the spokes of the wheel graph are represented by adding one edge to each vertex. For Pendant graph, we created a path graph using the cycle of the pendant graph and connect the pendant vertices to every vertex of the path graph. In both cases, we label all the edges using the concept of the anti-magic labelling of path graph Pn-1. Finally, we calculated the vertex sum for each vertex and proved that every vertex sums are distinct and in the wheel graph, middle vertex takes the highest value.
##### DOI: https://doi.org/10.4038/jsc.v12i2.35
How to Cite: Kapuhennayake, K.M.P.G.S.C. and Perera, A.A.I., 2021. An alternative approach for the anti-magic labelling of a wheel graph and a pendant graph. Journal of Science, 12(2), pp.47–60. DOI: http://doi.org/10.4038/jsc.v12i2.35
Published on 28 Dec 2021.
Peer Reviewed