COMPUTING DEGREE BASED TOPOLOGICAL INDICES OF SIERPINʹSKI GRAPHS1 (original) (raw)
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Degree Based Topological Indices of a General Random Chain
arXiv (Cornell University), 2022
Let G = (V (G), E(G)) a graph, many important topological indices can be defined as T I(G) = vu∈E(G) h(d v , d u). In this paper, we look at one type of general random chains and an alternative approach to study these kinds of topological indices is proposed. In which their explicit analytical expressions of the expected values and variances are obtained. Moreover, the asymptotic normality of topological indices of a random chain is established through the Martingale Central Limit Theorem.
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In graph theory, an invariant of a graph is a numerical quantity that depends only on its abstract structure, not on graph representations such as particular labeling or drawing of the graph. A topological index is an invariant of a molecular graph associated with chemical constitution purporting for correlation of chemical structure with various physical properties, chemical reactivity or biological activity. Nowadays, there exists a legion of topological indices with some applications in chemistry, especially in QSAR (quantitative structure-activity relationship) and QSPR (quantitative structure-property relationship) studies [18]. Since topological indices have gained considerable popularity recently, many new topological indices have been proposed and studied in the mathematical chemistry literature. In 1975, Randić introduced the connectivity index [17], which is one of the the most studied and applied topological indices in QSPR and QSAR researches, defined by
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In this research article, we determine some vertex degree-based topological indices or descriptors of two families of graphs, i.e., G = C 4 ðK n Þ and G = C 4 ðK n Þ + v 1 v 3 , where C 4 ðK n Þ is a graph obtained by identifying one of the vertices of K n with one vertex of C 4. Similarly, a graph formed by joining one of the vertices of K n with one vertex of C 4 + v 1 v 3 is known as the C 4 ðK n Þ + v 1 v 3 graph.
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