Bounds on the partition dimension of one pentagonal carbon nanocone structure
⁎Corresponding author. ahmadsms@gmail.com (Ali Ahmad) aimam@jazanu.edu.sa (Ali Ahmad)
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Received: ,
Accepted: ,
This article was originally published by Elsevier and was migrated to Scientific Scholar after the change of Publisher.
Peer review under responsibility of King Saud University.
Abstract
The partition dimension is the most complicated resolving parameter of all the resolvability parameters. In this parameter, the vertex set of a graph is completely subdivided into subsets so that each vertex of a graph has a unique identification in terms of the partitioning of its selected subsets. In this paper, we consider Carbon nanocone structure
Keywords
One pentagonal carbon nanocone
Partition dimension
Bounds on the partition dimension
Resolving partition set
1 Introduction
The term metric dimension or in some literature employed as the metric index is widely studied in recent times due to the applicability in numerous fields, including chemistry of pharmaceutics (Nadeem et al., 2020; Saenpholphat and Zhang, 2003), robot’s navigation (Iijima and Ichihashi, 1993). Moreover, solar coast-Loran stations (Brinkmann and Cleemput, 2011), and in optimization employing combinatorics techniques (Johnson, 1993). When this concept is implemented in pharmaceuticals problems in drug design, mathematical representations for a set of chemical compounds are needed to find distinct representations for distinct compounds. A chemical compound structure can be modified into a labeled chemical network whose nodes and links are atoms and atom-bonds, respectively. The minimum number of nodes (atoms) provides the required distinct representations to distinct nodes (atoms) in the network due to the metric dimension concept (Chartrand et al., 2000).
Let
Chemical graph theory aids interpretation of a chemical graph's nuclear assistant properties. Chemical graph theory is expected to play an important role in showcasing and organizing any constructed framework or component organize out. A chemical compound or graph is a graphical portrayal that includes atoms called vertices and atom-to-atom bonds known as edges.
Metric basis are very useful in the reshaping of a chemical network, therefore in the literature there is intensive research are available on different chemical structures, hollow coronoid structure is studied in this term (Mehreen et al., 2018), the necklace graph with these properties are discussed in (Khuller et al., 1996). The resolving set for the graph obtained from categorical product of two graphs available in (Arockiaraj et al., 2018), where a general circulant graphs are discussed in (Sebö and Tannier, 2004). Some of the results concerning metric dimension are detailed in (Estrada-Moreno, 2020; Liu et al., 2020; Valentini and Ciambella, 2016).
The concept of metric and partition dimension are closely related, as partition dimension is the generalization of the metric dimension. Instead of computing the distance between two vertices, we do it between a vertex and a set. The concept of partition dimension was introduced by (Chartrand et al., 2000).
Let
Several authors have published articles related to the partition dimension of graphs; book graph are discussed in (Iijima, 1991) in terms of this concept, the resulted graph from the operation of comb product are detailed in (Ahmad and Sultan, 2017), generalized version of partition dimension are studied in (Imran et al., 2018; Ge and Sattler, 1994), and a generalized class of graphs are studied in terms of partition dimension in (Nadeem et al., 2021). The partition dimension for the families of circulant graphs, multipartite, and chemical graphs of fullerene are discussed in (Hussain et al., 2019; Baskoro and Haryeni, 2020). The graphs of convex polytopes for their partition dimension are in (Wei et al., 2021, 2021,; Nadeem et al., 2021; Hussain et al., 2020). The graph with partition dimension
The partition dimension, usually denoted as
The emphasis of this study is finding the partition dimension problem of the
As mentioned, the partition dimension is the generalization of the metric dimension, so it would be interesting to find the partition dimension. This article was motivated by the results for the metric dimension of
2 1-pentagonal carbon nanocone structure
Carbon nanocone (CNC) started its journey in
It is widespread with its applicative point of view after discovering different types of nanocones and their topologies. The possible applications in energy storage, gas storage, gas sensors, biosensors, and chemical probes (Koam et al., 2021; Darmaji and Alfarisi, 2017; Maritz and Vetrik, 2017). Nanocones are carbon networks that can be represented as infinite cubic planar graphs. Authors in (Ahmad et al., 2018) investigated the topological modeling techniques of one pentagon carbon nanocones. Topological properties of carbon nanocones in (Ahmad et al., 2020), and computation calculation of wiener index in (Chu et al., 2020).
The Fig. 1 shows the molecular structure of nanocone, and it can be represented graphically by showing into vertices and edges form, which is in Fig. 2. As shown in Fig. 2 that the centermost cycle of with

- Pentagonal Nanocone Structure.

- One pentagonal nanocone: The labeling stated is the subscript or index of vertices. For example the
The graph of
[18] If
Now the following theorem is the sharp upper bounds on the partition dimension of one pentagonal nanocone structure
Let
Proof. To show that the partition dimension of
When
Representations of the vertices of third cycle;
Representations of the vertices of fourth cycle are given in the Tables 1 and 2.
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Representations of the vertices of fifth cycle;
So the generalize set of vertices representations are given in the Table 3 and onward;
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Representations of the vertices with
For the vertices on the
Representations of the vertices on outer cycle;
From these representations given above, one can see that all the vertices of
3 Conclusion
Carbon nanocone structure
4 Availability of data and material
There is not data associated with this manuscript.
Funding
There is not funding associated with this manuscript.
Acknowledgements
N/A
Declaration of Competing Interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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