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Research article

Traffic network analysis via multidimensional split variational inequality problem with multiple output sets

  • Received: 13 November 2023 Revised: 19 January 2024 Accepted: 24 January 2024 Published: 06 February 2024
  • In this study, we introduce and investigate a new class of split inverse problems, comprising a multidimensional parameter of evolution, which we call the multidimensional split variational inequality problem with multiple output sets. To demonstrate its applicability, we formulate the equilibrium flow of multidimensional traffic network models for an arbitrary number of locations. We define a multidimensional split Wardrop condition with multiple output sets and establish its equivalence with the formulated equilibrium flow of multidimensional traffic network models. We then establish the existence and uniqueness of equilibria for our proposed model. In addition, we propose a method for solving the introduced problem. We then validate our results using some numerical experiments.

    Citation: Timilehin O. Alakoya, Bidisha Ghosh, Salissou Moutari, Vikram Pakrashi, Ranganatha B. Ramachandra. Traffic network analysis via multidimensional split variational inequality problem with multiple output sets[J]. Networks and Heterogeneous Media, 2024, 19(1): 169-195. doi: 10.3934/nhm.2024008

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  • In this study, we introduce and investigate a new class of split inverse problems, comprising a multidimensional parameter of evolution, which we call the multidimensional split variational inequality problem with multiple output sets. To demonstrate its applicability, we formulate the equilibrium flow of multidimensional traffic network models for an arbitrary number of locations. We define a multidimensional split Wardrop condition with multiple output sets and establish its equivalence with the formulated equilibrium flow of multidimensional traffic network models. We then establish the existence and uniqueness of equilibria for our proposed model. In addition, we propose a method for solving the introduced problem. We then validate our results using some numerical experiments.



    All the graphs in the paper are finite, simple, connected, and without loops.

    Graphs and their derived structures play a pivotal role in various domains, ranging from computer science and network analysis to chemistry and social sciences. Among these, domination and chromaticity are fundamental concepts with broad applications, including morphological analysis, communication networks, social network theory, and facility placement. In 1958, it appeared as the coefficient of external stability [2], and later on it was named the domination number. The study of domination began in the late 1950s, with its formalization as a "domination number" emerging in the 1960s through foundational work by Ore [23] and others. Since then, significant results have been established, such as the domination properties of planar graphs by MacGillivray and Seyffarth [22], and later refined by Henning and Goddard [10]. Liu et al. [20] studied network coherence analysis of n-polygon networks. Moreover, Liu et al. [19] conducted a graphical analysis of hierarchical networks. For more on chromaticity of graphs, we refer the reader to [9,24]. For more applications of graph-theoretic parameters in communication systems and network design, we refer the reader to [7,11,28,33].

    Line graphs, an essential graph family, have received considerable attention due to their applications in diverse fields such as optimization [26], coding theory, and Hamiltonian graph studies [14]. These graphs transform the edge set of an original graph into vertices, preserving the adjacency relationships, thereby creating a powerful framework for analyzing structural and combinatorial properties. Harary and Nash-Williams [15] provided foundational insights into Eulerian and Hamiltonian line graphs, while Clark [6] and Brualdi and Shanny [4] contributed further to understanding their Hamiltonian properties. Recent studies, such as those by Zhong et al. [32], highlighted the significance of line graphs in the context of Hamiltonian connectivity and related metrics. Liu et al. [21] studied Zagreb indices of Eulerian graphs. For the extensive study of the traceable and Hamiltonian graphs, we refer the reader to, for instance, [18].

    This paper focuses on two specific graph families–the pan graph and the lollipop graph–and explores their line graphs with respect to domination number, chromatic number, and Hamiltonian properties. Pan and lollipop graphs, characterized by their hybrid structures, have been extensively used in modeling problems where connectivity and domination play critical roles. Notably, their line graphs exhibit unique combinatorial features that merit detailed exploration. Siddiqui and James [27] provided initial insights into the chromatic and domination numbers of pan and lollipop graphs, which serve as a basis for extending these results to their line graphs.

    Our contributions are threefold. First, we derive analytical formulas for the domination and chromatic numbers of the line graphs of pan and lollipop graphs, using established inequalities and structural properties [5,25]. Second, we examine the relationships between the chromatic and domination numbers of these graphs and their line graphs, offering insights into how these parameters influence each other. Finally, we analyze Hamiltonian and traceable properties, demonstrating that the line graph of a pan graph is Hamiltonian, while that of a lollipop graph is traceable, extending prior work on Hamiltonian structures [29]. These findings not only deepen the understanding of these graph families but also provide potential applications in network design, algorithm optimization, and combinatorial modeling.

    In this paper, we obtain the analytical formulas for the domination and chromatic numbers of these graphs by using a well-known inequality γ(Ge)1γ(G)γ(Ge), with the help of some known results. Then, we discuss the relation between the chromatic and domination number of pan graphs with the line graphs of pan graphs. Finally, we elaborate the Hamiltoniancity for these line graphs by showing that the line graph of a pan graph is Hamiltonian, while the line graph of a lollipop graph is traceable.

    Let us start by recalling some useful definitions and results (we refer the reader to [30] for other notions not recalled). Let G=(V,E) be a graph. A set D of vertices of a simple graph G is a dominating set if every vertex uV(G)D is adjacent to a vertex vD. The dominating number (domination number) γ(G) of a graph G is the size of the smallest dominating set of G. A dominating set D with |D|=γ(G) is called a minimum dominating set, see Haynes and Henning [12]. A γ-set in G is a dominating set of cardinality γ in G.

    The line graph L(G) [13] of a graph G is the graph whose vertex set is E(G) and two vertices u,vV(L(G)) are adjacent if they are adjacent edges in G. A coloring or proper coloring for a graph G is the process of assigning colors to the vertex set V of G in such a way that any two adjacent vertices of G do not have the same color. The chromatic number χ(G) for a graph G is the smallest or minimum number of colors necessary for a graph coloring. Recall that Pn (resp. Cn) denotes a path (resp. cycle) of order n.

    Since we are mainly interested in the domination number, we recall some known results on it.

    Lemma 2.1. [12] If a graph G of order n has a vertex of degree n1, then γ(G)=1.

    We refer to the following result for the domination number of the path and cycle graphs.

    Proposition 2.1. [5,8] For n3, γ(Pn)=γ(Cn)=n3 (that is, γ=n3 if n0(mod3) and γ=n3 if n6).

    Next, we give the following lower bound on the domination number of a graph in terms of its diameter.

    Proposition 2.2. [17] For a connected graph G with diameter diam(G), we have

    γ(G)13(diam(G)+1).

    The next classical result bounds the domination number of a graph in terms of its order, size, and the maximum degree.

    Theorem 2.1. [5] If Δ(G) is the maximum vertex-degree of a graph G of order p and size q, then

    p1+Δ(G)γ(G)pΔ(G).

    The next result delivers relations between the domination number of a graph in terms of its smallest degree δ(G).

    Theorem 2.2. [5] (1) If G is a graph of order n and minimum degree δ, then γ(G)nδ+1δ+1j=11j.

    (2) If G is a graph of order n with δ(G)=1, then γ(G)n/2.

    (3) If G is a connected graph of order n with δ(G)=2 and n8, then γ(G)2n/5.

    For more informations, see [3].

    In [16], the following result is proved. Note that, by GG, we denote the disjoint union of two graphs, and the phrase below dominating set does not mean a minimal dominating set.

    Proposition 2.3. If uv is an edge of a connected graph G and Guv=G1G2, then γ(G)γ(G1)+γ(G2).

    Proof. Let uv be an edge of a connected graph such that Guv=G1G2. Let Si, i=1,2, be a dominating set of Gi. Let S=S1S2, and then N[S]=N[S1S2]=N[S1]N[S2]=V(G), and so S is a dominating set for G, hence, γ(G)|S|=|S1|+|S2|=γ(G1)+γ(G2).

    In [31], the following result is proved for an edge-deleted graph.

    Theorem 2.3. [31] If eE(G), then γ(Ge)1γ(G)γ(Ge).

    A cycle which covers all the vertices of a graph G is known as a Hamiltonian cycle. Similarly, a path covering all the vertices of a graph G is a Hamiltonian path. A graph G is Hamiltonian, if there exists a Hamiltonian cycle in G. A graph G is traceable if there exists a Hamiltonian path in it. Obviously, if a graph is Hamiltonian then it is traceable. The converse is not true, in general.

    Finally, let us discuss the domination number of the line graph of a complete graph on k vertices. Recall that the line graph Gk of a complete graph, also known as the triangular graph T(k) (or Tk), is the graph whose vertices are the pairs of the 2-subsets of [k]={1,2,,k} and let us denote these (k2) vertices with v1,v2,,v(k2). Two vertices vi,vj of Gk are adjacent if and only if vivj. These graphs have received widespread attention. More recently, the codes generated by the rows of the adjacency matrix of these graphs have also received attention. It is known that

    γ(Gk)=k12.

    If k is even, a γ-set is given by {1,2},{3,4},,{k1,k} and γ(Gk)=k12. If k is odd, a γ-set of Gk is {1,2},{3,4},,{k2,k1} and γ(Gk)=k12.

    Let G be a graph of order n, m0 be an integer, and Pm+1=y0y1ym be a path of length m. Pick a vertex v0 in G, and the graph Gv0(m) (or simply G(m)) is the graph obtained from G by identifying the vertex v0 with the end vertex y0 of Pm+1, that is, its vertex set consists of all the vertices of G with those of Pm+1 with v0=y0, so its order is n+m. Its edge set consists of all the edges of G with those of Pm+1.

    Thus, if G=P2, then G(m)=Pm+2. When G=Cν, we have the graph Cν(μ), and in [1] the following result is proved.

    Proposition 2.4. For every ν3 and μ0, γ(Cν(μ))=ν3+μ13.

    Definition 2.1. If m=1, the graph Cν(1) is the pan graph Πn. If G=Kn is the complete graph on n vertices, then G(m)=Kn(m) is the lollipop graph Ln,m.

    Thus, a lollipop graph Lν,μ is a graph obtained by joining the complete graph (Kν) to the μ-order path graph (Pμ) with a bridge. A pan graph μ is a graph obtained by joining a μ-cycle Cμ to K1 (singleton graph) with a bridge.

    By Proposition 2.4, it follows that the domination number of the pan graph Πn is n3.

    Siddiqui and James, in [27], showed the following results for the pan and lollipop graphs.

    Lemma 2.2. [27] Let G=μ, and the domination number of G is

    γ(G)={μ3,for μ=3k,μ3,otherwise.

    Lemma 2.3. [27] Let G=μ, and the chromatic number of G is

    χ(G)={3,if μ is odd,2,if μ is even.

    Lemma 2.4. [27] Let G=Lν,μ. The domination number of G is γ(G)=μ+23.

    Lemma 2.5. [27] Let G=Lν,μ. The chromatic number of G is χ(G)=ν.

    Here, we mention some more known results which play an important rule in our proofs. In 1979, Walikar and Acharya [31] showed that if eE(G), then the following inequality holds for the domination number of G.

    Theorem 2.4. [31] If e=E(G), then γ(Ge)1γ(G)γ(Ge).

    In 2006, Chartrand computed important results in his book [5] for the domination number of some well-known graphs. For the μ-th order path graph, we have the following:

    Lemma 2.6. [5] γ(Pμ)=μ3, for μ1.

    In [8], Chartrand and Zhang computed the domination number for Cμ, a cyclic graph of order μ, as given in the following lemma.

    Lemma 2.7. [8] γ(Cμ)=μ3, for μ3.

    Here, we extend the result of Chartrand and Zhang [8] for Cμ+1, because of their implication in our next results.

    Lemma 2.8. Let Cμ+1 be the (μ+1)-th order cyclic graph. Then, the domination number of Cμ+1 is

    γ(Cμ+1)={μ+13,if μ=3k, for all k1,μ3,if μ=3k+1, or 3k+2, for all k1.

    The proof of Lemma 2.8 is similar to the proof of Chartrand and Zhang [8].

    Next, we present the main results of this work.

    In this paper, we study the domination number in the line graphs of lollypop and pan graphs. The next subsection investigates minimizing dominating sets in the line graphs of lollypop graphs.

    Note that a cycle of length n is isomorphic to its line graph, and so L(Cn)Cn. Let G=Πn=Cν(1). Let v1,,vν,u be its vertices, and then L(G) is a graph of order ν+1 and it may be seen as a cycle Cν with an extra vertex, say, w plus two edges connecting w with two adjacent vertices of Cν. Next, we prove that this graph is a subgraph of the line graph of Cν(μ).

    Let us denote the vertices of Cν(μ) with v1,,vν,uν+1,,uν+μ. Denote the vertices of its line graph with pij, where i and j are the pairs of indices of the endpoints of the edges of Cν(μ):

    p12,p23,,pn1,n,pn1,pn,n+1,,pn+m1,n+m,

    so it consists of the cycle

    Cn:p12p23pn1,npn1,

    the cycle

    C3:pn1,npn1pn,n+1,

    and the path

    pn,n+1pn+1,n+2pn+m1,n+m.

    Consider the edge e=pn1pn,n+1 of G=L(Cν(μ)) and let G=L(Cν(μ))e. Then,

    γ(G)1γ(G)γ(G). (3.1)

    Since G is isomorphic to Cν(μ), by Proposition 2.4 and Eq (3.1), we obtain

    ν3+μ131γ(G)ν3+μ13. (3.2)

    Now, consider the edge e=pn1,npn1 of G and let G=Ge. Then,

    γ(G)1γ(G)γ(G). (3.3)

    Thus, G is isomorphic to Cν+1(μ1). Note that one has to remark that for m=1, we have G=Cν+1. By Proposition 2.4 and Eq (3.3), considering m2 implies that

    ν+13+μ231γ(G)ν+13+μ23. (3.4)

    Thus, if μ=1, we obtain the domination number for the line graph of the pan graph L(Cν(1)) from Eq (3.4). Next, we conjecture that the domination of L(Cν(μ)) for general μ is as follows:

    Conjecture 3.1. The domination number of G=L(Cν(μ)) is computed by the following formula:

    γ(G)=ν3+μ13.

    In this subsection, we discuss the main results of our study. Before jumping to the main results, we start with some known results which perform a crucial rule in our proofs. Alikhani et al. [1] computed the domination number for Cν(μ), where Cν(μ) is shown in Figure 1. Moreover, Figures 2 and 3 deliver the pan graph Π3 and lollipop graphs L3,1 and L4,1, respectively.

    Figure 1.  The graph Cν(μ).
    Figure 2.  The pan graph Π3 (for ν=3).
    Figure 3.  The lollipop graphs L3,1 and L4,1, respectively.

    As a special case, we obtain the domination number of C3(μ), see Figure 4.

    Corollary 3.1. For ν=3 and μ0, as shown in Figure 4, γ(C3(μ))=1+μ13.

    Proof. The proof of this corollary is immediately understood from Proposition 2.4 by considering ν=3.

    Corollary 3.2. For ν=4 and μ0, as shown in Figure 5, the domination number of γ(C4(μ)) is

    γ(C4(μ))=2+μ13,

    for all k1.

    Proof. The proof of this corollary is immediately from understood Proposition 2.4 by considering ν=4.

    Theorem 3.1. For μ3, let Gμ=L(Πμ). Then,

    μ31γ(Gμ)μ3.

    If μ=3k, then the domination number of Gμ is

    γ(Gμ)=μ3.

    Proof. Consider the μ-th-order line graph of the pan graph L(Πμ), with vertices labeled as in Figure 6.

    Figure 4.  The graph C3(μ).
    Figure 5.  The graph C4(μ).
    Figure 6.  The line graph Gμ=L(Πμ).

    In any case, by Theorem 2.4, we have that γ(Gμ)μ3. Moreover, a minimal dominating set of the cycle Cμ with a vertex in v1 or vμ is a dominating set in the pan graph and so we have the result.

    We prove this result by using the inequality γ(Ge)1γ(G)γ(Ge) given in Theorem 2.4. Let us apply Theorem 2.4 to e=vμu1 in Gμ, and we obtain the following inequality:

    γ(Πμ)1γ(Gμ)γ(Πμ)
    μ31γ(Gμ)μ3. (3.5)

    Assume μ=3k and let γ(Gμ)=μ/31. Thus, γ(Gμ)=k1.

    Now, consider e=v1vμ in Figure 6, and by Theorem 2.4 we get

    γ(Cμ+1)1γ(Gμ)γ(Cμ+1) (3.6)

    and so

    μ+131γ(Gμ)μ+13. (3.7)

    It follows that

    k1=γ(Gμ)μ+131>k1,

    which is a contradiction, and so for μ=3k we have γ(Gμ)=μ/3.

    In the next result, we investigate the domination number of the join of two graphs H and K.

    Theorem 3.2. Let H and K be any two graphs with vertex sets V(H) and V(K), respectively. Let G be a graph obtained by joining H and K through a bridge e=uv, where uV(H) and vV(K). Then γ(G)=γ(H)+γ(K) or γ(G)=γ(H)+γ(K)1.

    Proof. Let H and K be any two graphs and G be a graph obtained by connecting H and K through a bridge e=uv, where uV(H) and vV(K) as shown in Figure 7.

    Figure 7.  A graph G connected by a bridge e=uv.

    Therefore, the graph G has V(G)=V(H)V(K) with V(H)V(K)= and E(G)=E(H)E(K){e}. Now, for any dominating set D of the graph G,

    D=DV(G)=D(V(H)V(K))=(DV(H))(DV(K)), (3.8)

    and (DV(H))(DV(K))=.

    Moreover,

    |D|=|DV(H)|+|DV(K)|. (3.9)

    If D1 is a minimum dominating set of H and D2 is a minimum dominating set of K, then D=D1D2 is a dominating set of G and so

    γ(G)|D|=|D|+|D2|=γ(H)+γ(K).

    Let D be a minimum dominating set of G such that γ(G)=γ(H)+γ(K)q, where q2. Then by Eq (3.9), |D|=|DV(H)|+|DV(K)|=γ(G)=γ(H)+γ(K)q, where q2. Therefore, |DV(H)|=γ(H)q1 and |DV(K)|=γ(K)q2 with q1+q2=q.

    Suppose if neither q1=0 nor q2=0, then DV(H) will not be the dominating set of H. But as D is the dominating set of G, some of the vertices of DV(K) must dominate the vertices of H which are not dominated by the vertices of DV(H). But as e=uv is the only edge that connects H with K, we must have that vDV(K) and uDV(H). Similarly if we consider the set DV(K), then it is not the dominating set of K, and hence by above the argument we have uDV(H) and vDV(K). This contradiction shows that both q1 and q2 cannot be non-zero simultaneously. Hence, either q1=0 or q2=0.

    Without loss of generality, we take q1=0, and then |DV(H)|=γ(H) and |DV(K)|=γ(K)q, where q2. This implies that Kv has a dominating set DV(K) with cardinality less than or equal to γ(K)q. Hence, (DV(K)){v} is a dominating set of K with cardinality less than or equal to γ(K)(q1), where q>1. This contradicts the hypothesis of the dominating set. Hence, q1, thus, γ(H)+γ(K)1γ(G)γ(H)+γ(K).

    Regarding Theorem 3.2, we refer to the work of Rajasekar and Nagarajan [25].

    Corollary 3.3. For μ=3k, the domination number of Πμ and L(Πμ) satisfy the following relation:

    γ(Πμ)=γ(L(Πμ).

    Proof. Comparing Lemma 2.2 and Theorem 3.1 completes the proof of this corollary.

    Theorem 3.3. For ν=3, let G3,μ=L(L3,μ), where μ1. The domination number of G3,μ is

    γ(G3,μ)=1+μ13,for allμ1.

    Proof. For the fixed value of ν=3 and μ1, the line graph of the lollipop graph L(L3,μ) is given in Figure 8.

    Figure 8.  G3,μ=L(L3,μ).

    From Figure 8, it is clear that the line graph G3,μ=L(L3,μ) is the combination of two graphs H and K, connected by a bridge e=v1v2. Now, to prove this result, we use Theorem 3.2, which reveals the domination number of two graphs connected by a bridge. Thus, from Theorem 3.2, we have

    γ(G3,μ)=γ(H)+γ(K). (3.10)

    Here, the domination number of the connected graph H is 1, i.e., γ(H)=1. The connected graph K is a (μ1)-th-order path graph Pμ1 with domination number γ(Pμ1)=μ13.

    Equation (3.10) implies that

    γ(G3,μ)=L(L3,μ)=1+μ13.

    This completes the proof of this theorem.

    Next, we present a short result on the domination number in terms of the following lemma.

    Lemma 3.1. For a given graph G4,2=L(L4,2) as shown in Figure 9, the domination number is G4,2=2.

    Proof. From Figure 9, the minimal possible dominating set is {u1,v1}, and hence γ(G4,2)=2.

    Theorem 3.4. For ν=4, let G4,μ=L(L4,μ), where μ1. The domination number of G4,μ is

    γ(G4,μ)=2+μ23,for allμ1.

    Proof. For the fixed value of ν=4 and μ1, the line graph of the lollipop graph L(L4,μ) is given in Figure 10.

    Figure 9.  G4,2=L(L4,2).
    Figure 10.  G4,μ=L(L4,μ).

    From Figure 10, it is clear that the line graph G3,μ=L(L3,μ) is the combination of two graphs H and K, connected by a bridge e=v2v3. Now, to prove this result, we use Theorem 3.2, which reveals the domination number of two graphs connected by a bridge. Thus, from Theorem 3.2, we have

    γ(G4,μ)=γ(H)+γ(K). (3.11)

    In Lemma 3.1, we showed that the domination number of a connected graph H is 2, i.e., γ(H)=2. The connected graph K is a (μ2)-th-order path graph such that Pμ2 has the domination number γ(Pμ2)=μ23.

    Equation (3.11) implies that

    γ(G4,μ)=L(L4,μ)=2+μ23.

    This completes the proof of this theorem.

    Here, we have to present a short result on the domination number in terms of a lemma.

    Lemma 3.2. For a given graph G5,1=L(L5,1) as shown in Figure 11, the domination number is G5,1=2.

    Proof. From Figure 11, the minimal possible dominating set is {u1,u10} and hence γ(G5,1)=2.

    Theorem 3.5. For ν=5, let G5,μ=L(L5,μ), where μ1. The domination number of G5,μ is

    γ(G5,μ)=2+μ13,for allμ1.

    Proof. For the fixed value of ν=5 and μ1, the line graph of the lollipop graph L(L5,μ) is given in Figure 12.

    Figure 11.  G5,1=L(L5,1).
    Figure 12.  G5,μ=L(L5,μ).

    From Figure 12 it is clear that the line graph G5,μ=L(L5,μ) is the combination of two graphs H and K, connected by a bridge e=v1v2. Now, to prove this result, we use Theorem 3.2, which reveals about the domination number of two graphs connected by a bridge. Thus, from Theorem 3.2, we have

    γ(G3,μ)=γ(H)+γ(K). (3.12)

    In Lemma 3.2, we showed that the domination number of a connected graph H is 2, i.e., γ(H)=2. The connected graph K is a (μ1)-th-order path graph such that Pμ1 has the domination number γ(Pμ1)=μ13.

    Equation (3.12) implies that

    γ(G5,μ)=L(L5,μ)=2+μ13.

    This completes the proof of this theorem.

    Tables 13 give us the direction for Conjecture 3.1, and hence the idea to generalize the results for all μ1 and ν3.

    Table 1.  The line graphs of the lollipop graph L(Lν,μ).
    L(Lν,μ) Line graph γ(G) χ(G)
    L(L3,1) 1 3
    L(L3,2) 2 3
    L(L3,3) 2 3
    L(L3,4) 2 3
    L(L3,5) 3 3
    L(L3,6) 3 3
    L(L3,μ) 1+μ13 ν

     | Show Table
    DownLoad: CSV
    Table 2.  The line graphs of the lollipop graph L(Lν,μ).
    L(Lν,μ) Line graph γ(G) χ(G)
    L(L4,1) 2 4
    L(L4,2) 2 4
    L(L4,3) 3 4
    L(L4,4) 3 4
    L(L4,5) 3 4
    L(L4,6) 4 4
    L(L4,μ) 2+μ23 ν

     | Show Table
    DownLoad: CSV
    Table 3.  The line graphs of the lollipop graph L(Lν,μ).
    L(Lν,μ) Line graph γ(G) χ(G)
    L(L5,1) 2 5
    L(L5,2) 3 5
    L(L5,3) 3 5
    L(L5,4) 3 5
    L(L5,5) 4 5
    L(L5,6) 4 5
    L(L5,μ) 2+μ13 ν

     | Show Table
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    Next, we generalize these results from to L(Lν,μ) by getting idea from above theorems and those of Tables 13. We present the general form for the domination number of L(Lν,μ) in the following conjecture.

    Conjecture 3.2. For any ν3, let Gν,μ=L(Lν,μ), where μ1. The domination number of Gν,μ is

    γ(Gν,μ)={k+μ13,ν=odd(ν=2k+1 for all k1),k+μ23,ν=even(ν=2k for all k2).

    This section is dedicated for studying the chromaticity in the line graphs of pan and lollypop graphs.

    From our observation and theory of chromatic numbers, the chromatic number for the union of two graphs G and G is always the maximum one, that is, χ(GG)=max{χ(G),χ(G)}.

    Theorem 4.1. Let Gμ=L(Πμ). The chromatic number of Gμ is χ(Gμ)=3.

    Proof. We know that, for μ-order cyclic graph, the chromatic number is given by

    χ(Cμ)={3,ifnisodd,2,otherwise.

    It is also clear that Gμ=CμC3, as shown in Figure 6. From the theory of chromatic numbers and our observation we have χ(GG)=max(χ(G),χ(G)). Clearly, max(χ(Cμ),χ(C3))=χ(C3)=3, and hence χ(Gμ)=3, which completes the proof.

    Proposition 4.1. Let Gν,μ=L(Lν,μ), where 3ν5, and μ1. Then, the chromatic number of Gν,μ is

    χ(Gν,μ)=ν,where3ν5.

    Proof. To prove this result, we assign colors to the vertices of Gν,μ in such a way that if any two vertices are adjacent they will be assign different colors. The colors and the notations that we use in this theorem are red "r", blue "b", yellow "y", sky blue "s", green "g", and so on. First, we prove some base results and then we generalize those results. Consider V(Gν,μ) to be the set of vertices and D(Gν,μ) to be the set of colors for V(Gν,μ). Then we discuss the following cases.

    Case 1. ν=3andμ1

    V(G3,μ)={v1,v2,v3}{1,2,,μ1,μ},
    D(G3,μ)={r,b,g}{r,b,...,r,b},
    min(D(G3,μ))={r,b,g}=3
    χ(G3,μ)=3.

    See Figure 13 for the line graph L(L3,μ).

    Case 2. ν=4andμ1

    V(G4,μ)={v1,v2,v3,v4,v5,v6}{1,2,3,,μ1,μ},
    D(G4,μ)={b,r,g,s,b,g}{r,b,,r,b},
    min(D(G4,μ))={b,r,g,s}=4
    χ(G4,μ)=4.
    Figure 13.  The line graph L(L3,μ).

    See Figure 14 for the line graph L(L4,μ).

    Figure 14.  The line graph L(L4,μ).

    Case 3. ν=5andμ1

    V(G5,μ)={v1,v2,v3,v4,v5,v6,v7,v8,v9,v10}{,1,2,,μ1,μ},
    D(G5,μ)={b,r,g,s,y,b,r,g,s,y}{r,b,,r,b},
    min(D(G5,μ))={b,r,g,s,y}=5
    χ(G5,μ)=5.

    See Figure 15 for the line graph L(L5,μ).

    Figure 15.  The line graph L(L5,μ).

    Since there are (ν(ν1)2+μ) vertices in the line graph of the lollipop graph, we think that such a result may be generalized, that is, the following conjecture is true.

    Conjecture 4.1. Let Gν,μ=L(Lν,μ) where ν3 and μ1. Then, the chromatic number of Gν,μ is

    χ(Gν,μ)=ν,whereν3.

    Corollary 4.1. Let G=Lν,μ, and H=L(Lν,μ), with 3ν5. Then, for the chromatic number of G and H, the following relation holds:

    χ(G)=χ(H). (4.1)

    Proof. Comparing Lemma 2.5 and Proposition 4.1 completes the proof of this corollary.

    The following proposition delivers the chromatic number of the line graph of a pan graph.

    Proposition 4.2. For μ3, the chromatic numbers of Πμ and L(Πμ) satisfy the following relation:

    (1) χ(Πμ)=χ(L(Πμ)),ifnisodd.

    (2) χ(Πμ)=1+χ(L(Πμ)),ifniseven.

    Proof. From the Siddiqui and James results in Lemma 2.3, we say that

    χ(Πμ)={3,if μis odd,2,ifμis even. (4.2)

    In Theorem 4.1, we showed that

    χ(L(Πμ))=3,foralln3. (4.3)

    Comparing Eqs (4.2) and (4.3) completes the proof of this corollary.

    In this section, we discuss the Hamiltoniancity of line graphs of pan graphs and lollipop graphs. Here, we prove that L(Πμ) is Hamiltonian, while L(Lν,μ) is traceable. Now, we introduce some undefined notations and symbols, which we will use in this part. Let Hc (resp. Hp) be a Hamiltonian cycle (resp. path). The symbol represents the adjacency relation of two vertices, while the symbol represents the adjacency relation of a vertex to the set of vertices.

    Theorem 5.1. Let G=L(Πμ), where μ3. Then G is Hamiltonian.

    Proof. To show that G is Hamiltonian, we construct a Hamiltonian cycle in G. Let y denote an arbitrary vertex of G. Consider the labeling of the vertices of G=L(Πμ) in Figure 16, and following is the Hamiltonian cycle with the same initial and end vertex y:

    Hc(G):=y=v1v2v3{vj+1:3jμ}v1=y.

    Theorem 5.2. Let G=L(Lν,μ), where ν3. Then, G is traceable.

    Proof. To show that G is traceable, we have to construct a Hamiltonian path in L(Lν,μ). Let xq and yq denote the arbitrary vertices of L(Lν,μ). Consider the vertex labeling of G=L(Lν,μ) in Figure 17, and the following three cases embrace the Hamiltonian path between xq and yq.

    Case 1. For ν=3 and μ1,

    Ph(xq,yq):xq=u1u2u3{vr:1rμ}=yq.

    Case 2. For ν=4 and μ1,

    Ph(xq,yq):xq=u1u2u3u4u5u6{vr:1rμ}=yq.

    Case 3. For ν5 and μ1,

    Ph(xq,yq):xq=u1{ur:2rν}{ut:ν+1tν(ν1)2ν}
    {vj:1jμ}=yq.
    Figure 16.  The line graph of the pan graph L(Pμ).
    Figure 17.  The line graphs of the lollipop graph L(Lν,μ).

    In this study, we investigated the domination number, chromatic number, and Hamiltonian properties of the line graphs of pan and lollipop graphs. Analytical formulas for the domination and chromatic numbers were derived, and their interrelationships with the original graphs were established. We demonstrated that the line graph of a pan graph is Hamiltonian, while that of a lollipop graph is traceable.

    These findings enrich the theoretical understanding of line graphs and highlight their structural uniqueness. The contributions are significant for practical applications in network design, optimization, and graph algorithm development, where properties like domination and Hamiltonian paths are critical.

    However, the study is limited to specific families of graphs (pan and lollipop) and their line graphs, leaving other graph families unexplored. Future research could extend this work by examining similar properties in broader classes of graphs or exploring algorithmic applications based on these structural insights. Additionally, computational methods could complement theoretical approaches to validate and generalize the findings further.

    Yubin Zhong and Sakander Hayat: Conceptualization, Methodology, Validation, Formal analysis, Investigation, Writing–original draft preparation, Writing–review and editing, Visualization; Suliman Khan and Vito Napolitano: Formal analysis, Investigation, Writing–original draft preparation, Editing; Mohammed J. F. Alenazi: Methodology, Validation, Resources, Writing–original draft preparation. All authors have read and agreed to the published version of the manuscript.

    The authors declare they have not used Artificial Intelligence (AI) tools in the creation of this article.

    Y. Zhong was sponsored by the Ministry of Science and Technology of China with grant No. WGXZ2023054L. S. Khan and V. Napolitano were partially supported by the Italian National Group for Algebraic and Geometric Structures and their Applications (GNSAGA-INdAM). V. Napolitano was partially supported by the COMPACT project of the Universitá della Campania "Luigi Vanvitelli". S. Hayat was supported by a UBD Faculty Research Grant with grant No. UBD/RSCH/1.4/FICBF(b)/2022/053. M. J. F. Alenazi extends his appreciation to the Researcher Supporting Project number (RSPD2025R582), King Saud University, Riyadh, Saudi Arabia.

    The authors declare that they have no known competing financial interests.



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