On Extremal Graphs of Degree Distance Index by Using Edge-Grafting Transformations Method

Author:

Imran Muhammad1ORCID,Akhtar Shehnaz2,Ahmad Uzma3,Ahmad Sarfraz4,Bilal Ahsan3

Affiliation:

1. Department of Mathematical Sciences, College of Science, United Arab Emirates University, P. O. Box 15551, Al Ain,United Arab Emirates

2. School of Natural Sciences, National University of Sciences and Technology, Islamabad,Pakistan

3. Department of Mathematics, University of the Punjab, Lahore,Pakistan

4. Department of Mathematics, COMSATS University Islamabad, Lahore Campus,Pakistan

Abstract

Background: Topological indices have numerous implementations in chemistry, biology and in lot of other areas. It is a real number associated to a graph, which provides information about its physical and chemical properties and their correlations. For a connected graph H, the degree distance defined as DD(H)=∑_(\h_1,h_2⊆V(H))〖(〖deg〗_H (h_1 )+〖deg〗_H (h_2 )) d_H (h_1,h_2 ) 〗, where 〖deg〗_H (h_1 ) is the degree of vertex h_1and d_H (h_1,h_2 ) is the distance between h_1and h_2in the graph H. Aim and Objective: In this article, we characterize some extremal trees with respect to degree distance index which has a lot of applications in theoretical and computational chemistry. Materials and Methods: A novel method of edge-grafting transformations is used. We discuss the behavior of DD index under four edge-grafting transformations. Results: By the help of those transformations, we derive some extremal trees under certain parameters including pendant vertices, diameter, matching and domination numbers. Some extremal trees for this graph invariant are also characterized. Conclusion: It is shown that balanced spider approaches to the smallest DD index among trees having given fixed leaves. The tree Cn,d has the smallest DD index, among the all trees of diameter d. It is also proved that the matching number and domination numbers are equal for trees having minimum DD index.

Funder

UPAR Grants of United Arab Emirates University, Al Ain, UAE

Publisher

Bentham Science Publishers Ltd.

Subject

Organic Chemistry,Computer Science Applications,Drug Discovery,General Medicine

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