Research Articles
Computational aspects of line graph of carbon nanocones
Authors:
Zafar Hussain,
University of Lahore, PK
About Zafar
Department of Mathematics and Statistics
Mobeen Munir,
Department of Mathematics, University of Education, Lahore, PK
About Mobeen
Department of Mathematics
Waqas Nazeer,
Government College University, Lahore, PK
About Waqas
Department of Mathematics
Muhammad Shoaib Saleem,
University of Okara, PK
About Muhammad Shoaib
Division of Science and Technology
Shin Min Kang ,
Gyeongsang National University, Jinju, KR
About Shin
Department of Mathematics and RINS
Young Chel Kwun
Dong-A University, Busan, KR
About Young
Department of Mathematics
Abstract
Graph theory plays substantial role in mathematics, chemistry, QSAR and physical sciences. The basic layout of the graph theoretic model is a molecular structure in which vertices of the graph correspond to atoms, and edges correspond to chemical bonds. The study of this graph model provides information about the chemical structure. A line graph has many useful applications in physical chemistry. M-polynomial is rich in producing closed forms of many degree-based topological indices which correlates chemical properties of the material under investigation. This polynomial is used in computing closed formulas of many degree-based topological invariants of the molecular structures. The molecular graph of carbon nanocones has a conical structure with a cycle of length k at its core and n layers of hexagons placed at the conical surface around its centre. In this study, we transformed the molecular structure of carbon nanocones into graph theoretic model and produced its line graph. Thereafter, we determined closed formulas for M-polynomials of line graphs of nanocones. We also recovered important topological degree-based indices of the line graph of nanocones. Moreover, we provide different graphs of topological indices and their relations with the parameters of the line graph of nanocones. These graphs depict the actual dependencies of the topological indices on the parameters of the carbon nanocones.
How to Cite:
Hussain, Z., Munir, M., Nazeer, W., Saleem, M.S., Min Kang, S. and Chel Kwun, Y., 2020. Computational aspects of line graph of carbon nanocones. Journal of the National Science Foundation of Sri Lanka, 47(4), pp.435–443. DOI: http://doi.org/10.4038/jnsfsr.v47i4.9681
Published on
25 Jan 2020.
Peer Reviewed
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