2023
DOI: 10.1080/09720529.2021.2015090
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The extremal Sombor index of trees and unicyclic graphs with given matching number

Abstract: In 2021, the Sombor index was introduced by Gutman, which is a new vertex-degree-based topological index. The Sombor index of a graph G is defined as , where dG(υ) is the degree of the vertex υ in G. Let  and  be the set of trees and unicyclic graphs on n vertices with fixed matching number m, respectively. In this paper, the trees and the unicyclic graphs with the maximum Sombor index among  and  are characterized, respectively.

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Cited by 12 publications
(6 citation statements)
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“…In this section, we show all the lemmas which will play important role to determine the maximum values for Sombor index. Denoted by U 2m,m the set consist of all unicyclic graphs with maximum matching number m of order n. Zhou et al [12] determined the following result (see Fig. 1).…”
Section: Lemmasmentioning
confidence: 99%
“…In this section, we show all the lemmas which will play important role to determine the maximum values for Sombor index. Denoted by U 2m,m the set consist of all unicyclic graphs with maximum matching number m of order n. Zhou et al [12] determined the following result (see Fig. 1).…”
Section: Lemmasmentioning
confidence: 99%
“…Zhou et al [15] used a different approach, characterizing extremal trees and unicyclic graphs with the maximum and minimum Sombor index values, while considering the matching number as a relevant parameter. Similarly, in another study, Zhou et al [14] explored extremal Sombor index within the same graph class, taking into account a given maximum degree. Das et al [4] contributed to the field by establishing bounds on the Sombor index of trees considering order, number of pendant vertices and the independence number.…”
Section: Introductionmentioning
confidence: 99%
“…Inspired by the work in [36], we investigate the General Sombor index for the trees having a given number of pendent vertices. Let N G (x) (or N (x)), represent the collection of neighboring vertices for a given vertex x ∈ V (G).…”
Section: Introductionmentioning
confidence: 99%