#### Abstract

Polyphenyl is used in a variety of applications including high-vacuum devices, optics, and electronics, and in high-temperature and radiation-resistant fluids and greases, it has low volatility, ionizing radiation stability, and high thermal-oxidative properties. The structure of polyphenyls can be represented using a molecular graph, where atoms represent vertices and bonds between atom edges. In a chemical structure, an item/vertex resolves two items if ; similarly, the ordered subset of vertices resolves each pair of distinct vertices named as the resolving set, and its minimum cardinality is described as metric dimension. In the pharmaceutical industry, the competition to find new chemical entities for treating a disease dictates larger project teams that encompass more extensive and diverse synthetic efforts directed at increasingly complicated activity spectra. In this paper, we determine the metric dimension of para-, meta-, and ortho-polyphenyl structures, which are used for structure-activity analysis of these polyphenyl structures.

#### 1. Introduction

Chemists require the mathematical representation of a chemical compound to work with the chemical structure. In a chemical structure, a set of selected atoms gave mathematical representations so that it gave distinct representations to distinct atoms of the structure. The chemical structure can be defined in the form of vertices, which mentions the atom and edges indicate the bonds types, respectively. Thus, a graph-theoretic analysis of this idea yields the representations of all vertices in a structure in such a way that different vertices have distinct representations with respect to some specific atoms of that structure. The following are some mathematical definitions to indicate these concepts.

In , the concept of locating set was proposed by Slater [1] and called the minimum cardinality of a locating set of a graph locating number. On the same pattern, in , the idea of metric dimension of a graph was individually introduced by Harary and Melter in [2], and these time metric generators were named as resolving sets. Members of metric basis set were assigned as a sonar or loran station [1].

A connected, simple graph with is the set of vertices (also can say atoms), and is the set of edges (bond types); the distance between two vertices/bonds is the length of geodesic between them and denoted by . Let be an order subset of vertices belonging to a graph and be a vertex. The representation of corresponding to is the -tuple , where is called a resolving set [2] or locating set [1], if every vertex of is uniquely determined by its distances from the vertices of or, on the contrary, if different vertices of have unique representations with respect to . The minimum cardinality of the resolving set is called the metric dimension of , and it is denoted by [1]. For a given ordered set of vertices , the th location of if and only if . Thus, to verify that is a resolving set, it is enough to show that for every possible distinct pair of vertices .

Metric dimension of a graph or a structure is a resolvability parameter that has been applied in numerous applications of graph theory, for the drug discovery in pharmaceutical chemistry [3, 4], robot navigation [5], combinatorial optimization concept studied in [6], various coin weighing problems [7, 8], and utilization of the idea in pattern recognition and processing of images, few of which also associate with the use in hierarchical data structures [1].

Due to numerous uses of resolvability parameters in the chemical field, many works have been done with graph perspectives, and metric dimension is also considered important to study different structures with it, such as the structure of H-naphtalenic and nanotubes discussed with metric concept [9], some upper bounds of cellulose network considering metric dimension as a point of discussion [10], resolving sets of silicate star determined in [11], metric basis of lattice of alpha-boron nanotubes discussed with specific applications [12], and sharps bound on the metric dimension of honeycomb and its related network [13]; for more interesting literature work on metric dimension, metric basis, resolving set, and other resolvability parameters, refer to [13â€“28].

#### 2. Results of Polyphenyl Chemical Networks

In the results of this article, we discuss the metric dimension of para-, meta-, and ortho-polyphenyl chemical networks constructed by different polygons. Usually, the networks are made up with the chain of hexagons using chemical operations ortho, para, and meta; in this work, we extend this to any order of polygons. Moreover, using with arbitrary in Theorems 1â€“5, we can produce the para-, meta-, and ortho-polyphenyl chain of hexagons and retrieve its corresponding metric dimension as well.

##### 2.1. Metric Dimension of

Let be a connected graph of ortho-polyphenyl network of cycle graph , and are the copies of cycle graph with order and size . For the following theorems, Figure 1 shows the resolving set in dark black vertices.

Theorem 1. *If and then is *

*Proof. *To prove that , for this assume, a resolving set . We construct the following cases on vertex set of :Second vector representations are as follows:Hence, it follows from the above arguments in the form of representation that because all the vertices of have unique representations with respect to resolving set .

For reverse inequality that , by contradiction, our assertion becomes , implying that , and it is not possible because only the path graph exists having the . All discussion concludes that when and ,

Theorem 2. *If then is *

*Proof. *To show that , we will apply the induction method on the number of copies of base graph. The base case for is proved in Theorem 1; now, assume that the assertion is true for :We will show that it is true for . SupposeUsing equations (3) and (4) in equation (5), we will getHence, the result is true for all positive integers .

##### 2.2. Metric Dimension of

Let be a connected graph of meta-polyphenyl network of cycle graph , and are the copies of cycle graph with order and size . For the following theorems, Figure 2 shows the resolving set in dark black vertices.

Theorem 3. *If (even) and then is *

*Proof. *To prove that , we construct a resolving set from the vertex set of . We assume the following cases on vertex set of :Hence, it follows from the above discussion that because all the vertices of have unique representations with respect to resolving set .

For converse , we use contradiction, and is not possible because only the path graph exists having the . All discussion concludes that when (even) and ,

Theorem 4. *If (even) and then is *

*Proof. *To show that , we will apply the induction method on showing the copies of base graph. The base case for is proved in Theorem 3; now, assume that the assertion is true for :We will show that it is true for . SupposeUsing equations (8) and (9) in equation (10), we haveHence, the result is true for all positive integers .

##### 2.3. Metric Dimension of

Let be a connected graph of para-polyphenyl network of cycle graph , and are the copies of cycle graph with order and size . For the following theorems, vertices are labeled, as shown in Figure 3; moreover, it also shows the resolving set in dark black vertices.

Theorem 5. *If and then is *

*Proof. *Firstly, we prove that ; for this construction, a resolving set from the vertex set of . We assume the following cases on vertex set of and on the copies of cycle graph, i.e., :If ,Second vector representations are as follows:â€‰Case 1. :â€‰Case 2. :â€‰Subcase 2.1. If ,â€‰â€‰Subcase 2.2. If ,â€‰â€‰Subcase 2.3. If ,â€‰â€‰Subcase 2.4. If ,â€‰â€‰Subcase 2.5. If ,Hence, it follows from the above discussion that because all the vertices of have unique representations with respect to resolving set .

For reverse inequality that , by contradiction, our assertion becomes , implying that , and it is not possible because only the path graph exists having the metric dimension . All discussion concluding that when and ,

##### 2.4. Metric Dimension of

Let be a connected graph of para-polyphenyl network of sun graph , where are the copies of sun graph and is the order of interior cycle of sun graph. The order and size of network are and , respectively. The vertices are labeled, as shown in Figure 4.

Theorem 6. *If (odd) and then is *

*Proof. *To prove that , for this construct, a resolving set , where from the vertex set of . We assume the following cases on vertex set of :â€‰Case 1. :â€‰Case 2. If , â€‰Case 3. If , â€‰Case 4. If , â€‰Case 5. If , ,where when and ; otherwise,

The representations of all vertices with respect to the second vertex of resolving set are as follows:â€‰Case 1. :â€‰Case 2. If â€‰Case 3. If â€‰Case 4. If ,â€‰Case 5. If ,â€‰where when and, otherwise, â€‰Case 6. If ,â€‰Case 7. If ,Hence, it follows from the above discussion that because all the vertices of have unique representations with respect to resolving set . For reverse inequality that , by contradiction, our assertion becomes , implying , and it is not possible because only the path graph exists having the . All discussion concluding that when (odd) and ,

#### 3. Conclusion

We found the metric dimension of some chemical networks ortho-, meta-, and para-polyphenyl chains constructed with base graph and sun graph , and these networks have metric dimension and .

#### Data Availability

The data used to support the findings of this study are included within the article.

#### Conflicts of Interest

The authors declare that there are no conflicts of interest.

#### Authorsâ€™ Contributions

All the authors contributed equally to prepare this article.

#### Acknowledgments

The authors extend their appreciation to the Deanship of Scientific Research at King Saud University for funding this work through Research Group no. RG-1441-453.