Research article

On the eccentric connectivity coindex in graphs

  • Received: 25 May 2021 Accepted: 11 October 2021 Published: 15 October 2021
  • MSC : 05C12, 05C35, 05C90

  • The well-studied eccentric connectivity index directly consider the contribution of all edges in a graph. By considering the total eccentricity sum of all non-adjacent vertex, Hua et al. proposed a new topological index, namely, eccentric connectivity coindex of a connected graph. The eccentric connectivity coindex of a connected graph G is defined as

    ¯ξc(G)=uvE(G)(εG(u)+εG(v)).

    Where εG(u) (resp. εG(v)) is the eccentricity of the vertex u (resp. v). In this paper, some extremal problems on the ¯ξc of graphs with given parameters are considered. We present the sharp lower bounds on ¯ξc for general connecteds graphs. We determine the smallest eccentric connectivity coindex of cacti of given order and cycles. Also, we characterize the graph with minimum and maximum eccentric connectivity coindex among all the trees with given order and diameter. Additionally, we determine the smallest eccentric connectivity coindex of unicyclic graphs with given order and diameter and the corresponding extremal graph is characterized as well.

    Citation: Hongzhuan Wang, Xianhao Shi, Ber-Lin Yu. On the eccentric connectivity coindex in graphs[J]. AIMS Mathematics, 2022, 7(1): 651-666. doi: 10.3934/math.2022041

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  • The well-studied eccentric connectivity index directly consider the contribution of all edges in a graph. By considering the total eccentricity sum of all non-adjacent vertex, Hua et al. proposed a new topological index, namely, eccentric connectivity coindex of a connected graph. The eccentric connectivity coindex of a connected graph G is defined as

    ¯ξc(G)=uvE(G)(εG(u)+εG(v)).

    Where εG(u) (resp. εG(v)) is the eccentricity of the vertex u (resp. v). In this paper, some extremal problems on the ¯ξc of graphs with given parameters are considered. We present the sharp lower bounds on ¯ξc for general connecteds graphs. We determine the smallest eccentric connectivity coindex of cacti of given order and cycles. Also, we characterize the graph with minimum and maximum eccentric connectivity coindex among all the trees with given order and diameter. Additionally, we determine the smallest eccentric connectivity coindex of unicyclic graphs with given order and diameter and the corresponding extremal graph is characterized as well.



    Throughout this paper, all graphs considered are finite, simple, undirected and connected. For a graph G=(V,E) with vertex set V=V(G) and edge set E=E(G). The degree of a vertex vV(G), denoted by dG(v), is the number of edges incident with v. For vertices u,vV(G), the distance d(u,v) is defined as the length of a shortest path between u and v in G. The eccentricity εG(v) or ε(v) of a vertex v is the maximum distance from v to any other vertex in a graph G. The diameter of a connectd graph is the maximum eccentricity of any vertex in the graph. A pendent vertex is a vertex of degree 1. Let Pn, Sn and Cn denote the path, the star and the cycle on n vertices, respectively. By Gv or Gv we denote the graph obtained from G by deleting a vertex vV(G). By Guv we denote the graph obtained from G by deleting an edge uvE(G) (This notation is naturally extended if more than one edge are deleted). Similarly, G+uv is obtained from G by adding an edge uvE(G). A path in a connected graph is said to be a diametrical path, if this path is of length equal to the diameter. A connected graph is said to be a tree if it contains no cycles. Connected graphs in which the number of edges equals the number of vertices are called unicyclic graphs. A cactus is a connected graph in which any two simple cycles have at most one vertex in common. The set of cacti with n vertices and k cycles is denoted by C(n,k). If GC(n,k), then |E(G)|=n+k1. Other notation and terminology not defined here will conform to those in [4]. In organic chemistry, a molecular graph represents the topology of a molecule. A topoloical index is a function defined on a molecular graph regardless of the labeling of its vertices. Till now, a number of topological indices are introduced and widely used in QSAR/QSPR studies. One of them is the eccenric connectivity index (ECI) of graph G, denoted by ξc(G), was introduced by Gupta et al. [12], which is defined as

    ξc(G)=uV(G)dG(u)εG(u).

    The eccentric connectivity index has been shown to give a high degree of predictability properties and may provide leads for the development of safe and potent anti-HIV compounds [5,13]. Furthermore, the eccentric connectivity index also has a lot of applications in neural science and entropy, see [14,18]. For the mathematical properties of this index see [1,9,11,17] and the references cited therein.

    The eccentric connectivity index of a connected graph G can be rewritten as

    ξc(G)=uvE(G)(εG(u)+εG(v)).

    As is know that the eccentric connectivity index has been used extensively in physical and biological properties. They are defined as sums of contributions dependent on the eccentricity of adjacent vertices over all edges of a graph. By considering analogous contributions from pairs of non-adjacent vertices capturing and quantifying a possible influence of remote pairs of vertices to the molecule's properties, and motivated from [2,3], Hua and Miao [8] considered the total eccentricity sum of non-adjacent vertex pairs which is defined for a connected graph G as

    ¯ξc(G)=uvE(G)(εG(u)+εG(v)), (1)

    and call this eccentricity-based graph invariant the eccentric connectivity coindex ¯ξc(G). By (1), eccentric connectivity coindex can be rewritten as

    ¯ξc(G)=uV(G)εG(u)(n1dG(u)). (2)

    The cactus graph has many applications in real life and much works has been done to study the extremal graph according to different index. For more results on the cactus one may be referred to [6,7,10,15,16]. In this paper, we continue the above direction of research by considering the extremal problems on the eccentric connectivity coindex.

    This paper is complied as follows. In Section 2, we present the sharp lower bounds on ¯ξc for general connecteds graphs. In Section 3, we characterize the extremal graphs with the minimum ¯ξc among cacti of given order and cycles. In Section 4, we characterize the minimal and maximal ¯ξc of trees with given order and diameter. In Section 5, we study the minimal ¯ξc among unicyclic graphs on n vertices with diameter and characterize the extremal graphs.

    Hua (2019) characterize all extremal graphs with the maximum and minimum eccentric connectivity coindex among all connected graphs of given order and establish various lower bounds for this index in terms of several other graph parameters. In this section, we continue the investigation along the lines of [8] and present the sharp lower bounds on ¯ξc for general connected graphs with minimum degree.

    Theorem 2.1. Let G (Kn) be a connected graph of order n with minimum degree δ. Then

    ¯ξc(G)4(n1δ),

    with equality if and only if GKδn (δ<n1). Where Kδn is a connected graph of order n obtained by joining a vertex to the δ vertices in Kn1.

    Proof. Let vn be one vertex of degree δ. Denote by NG(vn)={v1,v2,,vδ}, also let S={vδ+1,,vn1}. Since GKn, we have δn2 and |s|1. Thus V(G)=NG(vn)SnS. For viNG(vn), we have εG(vi)1 and dG(vi)n1. For viS, we have dG(vi)n2 and εG(vi)2. Moreover, εG(vn)2 and dG(vn)=δ. By the definition of ¯ξc(G), we have

    ¯ξc(G)=vNG(vn)εG(v)(n1dG(v))+vSεG(v)(n1dG(v))+εG(vn)(n1δ)0+2(n1(n2))(nδ1)+2(n1δ)=4(n1δ).

    Suppose the equality holds in above equation, then all the inequalities in the above must be equalities. Thus, we have dG(vi)=n2, εG(vi)=2 for each viS, dG(vi)=n1, εG(vi)=2 for each viNG(vn) and dG(vn)=δ, εG(vn)=2. Hence, we find that vertex vn is adjacent to the vertices of degree n1 and each vertex in S is degree n2. So GKδn (δ<n1). This completes the proof.

    In this section, we turn our attention to eccentric connectivity coindex for cacti and in particular on extremal cacti regarding ¯ξc.

    We start with a useful lemma.

    Lemma 3.1 ([8]). Let G be a connected graph of order n, size m and diameter d. Then

    ¯ξc(G)2n(n1)4m,

    with equality if and only if d2.

    Let Ckn be the cactus by adding k indepent edges among pendent vertices of Sn (see Figure 1).

    Figure 1.  The graph Ckn with n vertices and k cycles of length 3.

    Theorem 3.2. Let G be a cactus on n5 vertices with k cycles. Then

    ¯ξc(G)2n26n4k+4.

    The equality holds if and only if TCkn.

    Proof. Suppose that N is the set of vertices of degree n1. n0 is the number of elements in N. Assume that n02, let u, v be two vertices in G such that dG(u)=dG(v)=n1. Then εG(u)=εG(v)=1. It follows that G is not a cactus. Since there exists cycles sharing common edges in G, then n0=0 or n0=1. If n0=1, then there is a unique vertex v in G such that dG(v)=n1, thus εG(v)=1, hence each vertex in Gv is adjacent to v. Therefore the cacutus G is obtained by introducing k indepedent edges among pendent vertices of Sn, then GCkn and ¯ξc(G)=2n26n4k+4.

    Now, we assume that n0=0. Let d be the diameter of G. Then d3. Otherwise, if d2, let u be the vertex of maximal degree in G. Then any other vertex of Gu must be adjacent to u, otherwise d3, then n01, a contradiction. By Lemma 3.1,

    ¯ξc(G)>2n(n1)4m=2n(n1)4(n+k1)=2n26n+44k.

    Note that, there are exactly n+k1 edges in cacutus on n vertices and k cycles. This completes the proof.

    In this section, we shall determine the tree of diameter d with the minimum and maximum ¯ξc respectively.

    The volcano graph Vn,d is the graph obtained from a path Pd+1 and a set S of nd1 vertices by joining vertex in S to the central vertex of Pd+1. Obviously, if d is even, there is only one center of Pd+1. If d is odd, there are two central vertices of Pd+1 (See Figure 2). The caterpillar tree with respect to Pd+1=u0u1ud, denoted by CP(S1,,Sd1), is the tree obtained from Pd by attaching Si new vertices to ui, for 1id1.

    Figure 2.  The graph Vn,d with d even and d odd.

    Let

    f1(n,d)={d21i=1(di)(2n6)+n2dnd2nd+2n26n4d+3d2+42if n is even,d121i=1(di)(2n6)+n2dnd2+3n2+3nd8n+3d24d+12if n is odd,

    Theorem 4.1. Let T be a tree on n (n5) vertices with diameter d2. Then

    ¯ξc(T)f1(n,d).

    The equality holds if and only if TVn,d.

    Proof. Let T0 be a graph chosen among all trees of order n with diameter d such that T0 has the smallest ¯ξc. First, we have the following claim.

    Claim 1. Among all trees T with order n and diameter d, min(¯ξc(T)) is achived on caterpillars.

    Proof of Claim 1. Let T be any tree that is not a caterpillar with order n and diameter d. Let P be the diametral path of T, connecting u0 to ud. Then the eccentricity of each vertex w of T is equal to max{d(w,u0),d(w,ud)}. Let z{u0,ud} be a vertex of P and let Tz be a maximal subtree of T which contains z but no other vertex of P. We may assume that z can be selected such that εTz(z)=k2, for otherwise T is a caterpillar. Let u be vertex of Tz with d(u,z)=k1 and let v be the neighbor of u with d(v,z)=k2. Let S=N(u)v and let s=|S|. Note that s1. Let T be the tree from T by replacing the edges between u and the vertices of S with the edges between v and the vertices of S. Then we have

    ¯ξc(T)¯ξc(T)=wV(T)εT(w)(n1dT(w))wV(T)εT(w)(n1dT(w))=εT(u)(n1dT(u))+εT(v)(n1dT(v))+wSεT(w)(n1dT(w))εT(u)(n1dT(u))εT(v)(n1dT(v))wSεT(w)(n1dT(w))s(εT(v)εT(u))+wS(n1dT(w)).

    Note that εT(u)=εT(v)+1, εT(w)εT(w)+1 for wS and since d2, we get that dT(w)<n2. Hence

    ¯ξc(T)¯ξc(T)s+(n1)swSdT(w)=(n2)swSdT(w)>(n2)s(n2)s=0.

    Therefore,

    ¯ξc(T)>¯ξc(T).

    If T is not a caterpillar, we can repeat the construction as many times as required to arrive at a caterpillar. Since at each step the value of ¯ξc(T) is decreased. Thus the claim is proven.

    Since T0 is the extremal tree with diametral path P=u0u1,,ud. By claim 1, we conclude that all vertices of V(T)V(P) must be pendent vertices attached at some vertices of P, we denote this tree T1. We now consider the case when d is even, if there exists some vertex ui (id2) of P with pendent vertices (say w1,w2,wtt1) attached. Let

    T2=T1{uiw1,uiw2,,uiwt}+{ud2w1,ud2w2,,ud2wt}.

    By the definition of ¯ξc, we have

    ¯ξc(T1)¯ξc(T2)=tk=1εT1(wk)(n1dT1(wk))+εT1(ui)(n1dT1(ui))+εT1(ud2)(n1dT1(ud2))tk=1εT2(wk)(n1dT2(wk))εT2(ui)(n1dT2(ui))εT2(ud2)(n1dT2(ud2)).

    As dT1(wk)=dT2(wk)=1, (k=1,2,,t) and εT1(wk)>εT2(wk), εT1(ui)=εT2(ui)>εT1(ud2)=εT2(ud2),εT1(wk)εT2(wk)=εT1(ui)εT2(ud2).

    Then, we have

    ¯ξc(T1)¯ξc(T2)=tεT1(wk)(n2)tεT2(wk)(n2)tεT1(ui)+tεT1(ud2)t(n2)(εT1(wk)εT2(wk))t(εT1(ui)εT2(ud2))=[(n2)tt](εT1(wk)εT2(wk))=(n3)t(εT1(wk)εT2(wk))>0.

    Therefore,

    ¯ξc(T1)>¯ξc(T2).

    Continue this procedure, forming new trees, untill all the pendent vertices in T1 are adjacent to ud2. If d is odd, similarly, the extremal graph must be the graph obtained from a path Pd+1 by some pendent vertices attched on the center of Pd+1. That is to say, T0Vn,d. This completes the proof.

    For even d,

    ¯ξc(Vn,d)=d21i=1(di)(2n6)+n2dnd2nd+2n26n4d+3d2+42=n(n2)(d+2)2(n2)(d2+3d+2)2+d(d2)(3n7)4+2d(n2).

    Let f(x)=n(n2)(x+2)2(n2)(x2+3x+2)2+x(x2)(3n7)4+2x(n2), (x2). It remains to determine which value of x minimizes f(x). For this, we use the first and second derivative test. Noting that

    f(x)=n(n2)2(n2)(2x+3)2+(x1)(3n7)2+2(n2).
    f(x)=(n2)+3n72=n32>0.

    f(x) is positive for x2, then f(x) is an increasing function for x2. So

    f(x)>f(2)=n(n2)27(n2)2+(3n7)2+2(n2)=n22n12=(n1)222>0.

    Therefore, f(x) is an increasing function for x2.

    Then

    ¯ξc(Vn,d)<¯ξc(Vn,d+1).

    For odd d, we obtain the same result. Therefore, we obtain the following chain inequality

    ¯ξc(Pn)=¯ξc(Vn,n1)>¯ξc(Vn,n2)>>¯ξc(Vn,2)=¯ξc(Sn). (3)

    We denote by H(p,n,q) one double starlike tree which is obtained by attaching the centers of two stars K1,p and K1,q to the ends of path Pd2, respectively, where p+q=nd1. The broom graph Bn,d consists of a path Pd1, together with nd pendent vertices all adjacent to the same pendent vertex of Pd1, obviously, Bn,d=H(0,n,nd1), see Figure 3.

    Figure 3.  The graphs Hp,n,q and B(n,d).

    For any tree TH(p,n,q), we have ¯ξc(T)=¯ξc(Bn,d)=f2(n,d). Let

    f2(n,d)={d21i=1(di)(2n6)+6d23nd+2n2d2nd2+2n27d2if n is even,d12i=1(di)(2n6)+3d22nd+n2dnd2+n12dif n is odd,

    Theorem 4.2. If T is a tree of order n and diameter d, then

    ¯ξc(T)f2(n,d).

    The equality holds if and only if TH(p,n,q).

    Proof. Let P=u0u1,,ud be a diametral path in T. Asssume that T is not the graph H(p,n,q), then there exists a pendent vertex v of T,vu0 such that v is adjacent to a vertex u, where uud1 and uu1 (It is possible that u lies on P). Denote by {v1,v2,,vk} be the set of pendent vertices which are adjacent to u and viu0 for i=1,2,,k. Let

    T=T{uv1,uv2,,uvk}+{ud1v1,ud1v2,,ud1vk}.

    Note that T has the same order and diameter as T. We will show that T has a larger eccentric connectivity coindex than T.

    ¯ξc(T)¯ξc(T)=ki=1εT(vi)(n1dT(vi))+εT(u)(n1dT(u))+εT(ud1)(n1dT(ud1))ki=1εT(vi)(n1dT(vi))εT(u)(n1dT(u))εT(ud1)(n1dT(ud1)).

    As dT(vi)=dT(vi)=1, (i=1,2,,k) and εT(vi)>εT(vi), εT(u)=εT(u)<εT(ud1)=εT(ud1),εT(vi)εT(vi)=εT(ud1)εT(u). Then, we have

    ¯ξc(T)¯ξc(T)=k(n2)(εT(vi)εT(vi))k(εT(ud1)εT(u))=k(n2)(εT(vi)εT(vi))k(εT(vi)εT(vi))=k(n3)(εT(vi)εT(vi))>0.

    Then

    ¯ξc(T)>¯ξc(T).

    Continue this procedure, forming new trees untill all vertices outside P having degree one are adjacent to xd1. Thus a tree H(p,n,q) of order n and diameter d is obtained, one has

    ¯ξc(Bn,d)=¯ξc(H(P,n,q))¯ξc(T).

    This completes the proof.

    Similar to previous discussion, we have ¯ξc(Bn,d)<¯ξc(Bn,d+1) for any d2. Therefore, it follows that

    ¯ξc(Pn)=¯ξc(Bn,n1)>¯ξc(Bn,n2)>>¯ξc(Bn,2)=¯ξc(Sn). (4)

    Summarizing theorems 4.1, 4.2 and these inequlities (3), (4), we have the following result.

    Theorem 4.3. Let T be a tree on n vertices. Then

    2n26n+4¯ξc(T)f2(n,n1).

    Where f2(n,n1) as mentioned in theorem 4.2. The left quality holds if and only if TSn and the right equality holds if and only if TPn.

    In this section, we consider the minimum ¯ξc of unicyclic graphs with given diameter. Let Gdn be the unicyclic graph with order n and diameter d. First, for even d, let V1n,d be the graph obtained from Pd+1=u0u1.,ud by attaching nd1 pendent edges to ud2 and adding an edge between ud2+1 and one of the attached pendent vertices of ud2. Let V2n,d be the graph obtained from Pd+1=u0u1.,ud by attaching nd1 pendent edges to ud2 and adding an edge between two attached pendent vertices of ud2, (see Figure 4).

    Figure 4.  The graphs in Theorem 4.1.

    For odd d, let V3n,d be the unicyclic graphs in which there are s,t (s+t=nd2) pendent vertices adjacent to ud12 and ud+12 of diametrel path respectively. Let V4n,d be the unicyclic graphs in which there are p,q (p+q=nd3) pendent vertices adjacent to ud12 and ud+12 of diametrel path respectively, (see Figure 4).

    By direct calculation, for even d,

    ¯ξc(V1n,d)=¯ξc(V2n,d)=d21i=1(di)(2n6)+2d(n2)+d(d2)2+(d+2)((n2)(nd)n)2.

    For odd d, any GV3n,d, we have

    ¯ξc(G)=d121i=1(di)(2n6)+2d(n2)+(d+1)(2n+d9)2+(n2)(d+3)(nd2)2.

    If G1V3n,d and G2V4n,d. By direct calculation we find that, ¯ξc(G1)<¯ξc(G2). Let

    f3(n,d)={d21i=1(di)(2n6)+3d26d+n2dnd2+2n26nnd2if n is even,d121i=1(di)(2n6)+3d2nd6d10n+n2dnd2+3n2+32if n is odd.

    Theorem 5.1. Let G be a unicyclic graph on n(7) vertices with diameter d2. Then

    ¯ξc(G)f3(n,d).

    The equality holds if and only if GV1n,d or GV2n,d for even d and GV3n,d for odd d.

    Proof. Choose G0 in Gdn such that ¯ξc(G0) is as small as possible. Let Pd+1=u0u1,,ud be a diametral path and Ck be the unique cycle in G0. Similar as the proof of theorem 4.1 all vertices in V(G0){V(P)V(Ck)} must be pendent vertices and adjacent to some vertices of V(P)V(Ck), we denote it by G. First, we consider when the diameter d is even, we proceed by considering the following possible cases.

    Case 1. |V(Ck)V(Pd+1)|=1.

    In this case, let V(Ck)V(Pd+1)=ui. In the following, we show three facts.

    Fact 1. All vertices in V(G){V(P)V(Ck)} must be adjacent to ud2 of P.

    Proof of Fact 1. If there exists a vertex us (with sd2) of P with pendent vertices, say w1,w2,,wk attached in G. Let

    G1=G{usw1,usw2,,uswk}+{ud2w1,ud2w2,,ud2wk}.

    By a similar approach in the proof of theorem 4.1, we get ¯ξc(G)>¯ξc(G1), a contradiction to our choice of G. Similarly, we conclude that there is no pendent vertices attached the vertex of cycle Ck in G other than ui. That is to say, each of the vertices other ui on cycle Ck in G is of degree 2. This completes the proof of fact 1.

    Fact 2. The length of the cycle Ck is equal to 3, i.e., k=3 in G.

    Proof of Fact 2. If the length of the cycle k3.

    Let Ck=uiv1v2,,vk1ui and NG(ui)V(Ck)={v1,vk1}. Let

    G2=GE(Ck)+v1vk1+{uiv1,uiv2,,uivk1}.

    Clearly, G2 is in Gdn and C3 is the unique cycle in G2. It is routine to check that

    ¯ξc(G)¯ξc(G2)=k2j=2εG(vj)(n1dG(vj))+εG(ui)(n1dG(ui))+εG(v1)(n1dG(v1))+εG(vk1)(n1dG(vk1))k2j=2εG2(vj)(n1dG2(vj))εG2(ui)(n1dG2(ui))εG2(v1)(n1dG2(v1))εG2(vk1)(n1dG2(vk1)).

    Note that εG(ui)=εG2(ui),εG(v1)=εG2(v1), εG(vk1)=εG2(vk1) and εG(vj)εG2(vj)>εG(ui) for j=2,,k2 and εG(v2)=εG(ui)+2, εG2(v2)=εG2(ui)+1.

    Therefore,

    ¯ξc(G)¯ξc(G2)>(k3)εG(ui)+k2j=2εG(v2)(n3)k2j=2εG2(v2)(n2)>(k3)εG(ui)+(k3)(n3)εG(v2)(k3)(n2)εG2(v2)=(k3)εG(ui)+(k3)(n3)(εG(ui)+2)(k3)(n2)(εG(ui)+1)=(k3)εG(ui)+(k3)(εG(ui)+n4)=(k3)(n4)>0.

    Then ¯ξc(G)>¯ξc(G2), a contradiction. This completes the proof of fact 2.

    Fact 3. ui is the center of the diametral path P in G.

    Proof of Fact 3. Based on fact 2, we know that Pd+1=u0u1,,ud and Ck=uiv1vk1. If uiud2, we assume without loss of generality that dG(u0,ui)<d2, that is to say, dG(u0,ui)<dG(ui+1,ud). Move the triangle and all the pendent edges from ui to ud2 in G and denote the result graph by G3. It is routine to check that G3 in Gdn. Since

    εG(ui)εG(ud2)=εG(v1)εG3(v1)=εG(vk1)εG3(vk1)=εG(v2)εG3(v2).

    We have

    ¯ξc(G)¯ξc(G3)=εG(ui)(n1dG(ui))+εG(ud2)(n1dG(ud2))+k1i=1εG(vi)(n1dG(vi))εG3(ui)(n1dG3(ui))εG3(ud2)(n1dG3(ud2))k1i=1εG3(vi)(n1dG3(vi))>(k1)(εG(ud2)εG(ui))+(n3)εG(v1)+(n3)εG(vk1)+(k3)(n2)εG(v2)(n3)εG3(v1)(n3)εG3(vk1)(k3)(n2)εG3(v2)=[(k1)+2(n3)+(n2)(k3)](εG(ui)εG(ud2))>(k1)(n4)(εG(ui)εG(ud2))>0.

    Then ¯ξc(G)>¯ξc(G3), a contradiction again. This completes the proof of fact 3.

    Case 2. P and Ck are vertex and edge disjoint.

    Let Q=uiz1z2,,zs1zs be a path connecting path P and Ck. By the similar approach in the proof of theorem 4.1, we can contract the whole path Q (i.e., ui and zs coincide and then attaching suitable number of pendent vertices at ui) to get a new graph G4 with P and Ck having exactly one vertex in common. So the following procedure similar as case 1.

    By the discussion as above, we obtain that for all G in Gdn. If the unique cycle and the diameter in G have no edges in common, then the extremal graph is V2n,d when d is even. When d is even, the diameter path has only one center, while when d is odd, the diameter path has two centers. In either case, the pendent vertices in the minimum graph except the endpoints of the diameter path are all adjacent to the center of the diameter path, the proof process is exactly the same. Here we omit the proof when d is odd. Hence, the extremal graph is V4n,d when d is odd. As is depicted in Figure 4.

    Case 3. |V(Ck)V(Pd+1)|2.

    If there exist common edges between Pd+1 and Ck, then we get that all vertices in V(G0){V(P)V(Ck)} must be adjacent to ud2 of P similar as case 1. We denote it by G. Let Pd+1=u0u1,,ud and Ck=uiui+1,,ujy1y2,,ymui. In this case, we first show that the unique cycle Ck contained in G is just C3, that is to say, k=3, otherwise, we assume that k4. First we consider the diameter d is even. Let

    G5=G{uiym,ymym1,,y2y1,y1uj}+{ud2ym+ud2ym1,,ud2y2,ud2y1}+{ud2+1y1}.

    By the definition of ¯ξc and bearing in mind that it is possible uj1=ui. As εG(yi)εG5(yi), i=1,,m and εG5(y1)=εG5(y2)=εG5(y3)==εG5(ym). εG5(ui)=εG(ui) and εG5(uj+1)=εG(uj+1), εG5(yi)εG5(ud2)+1, εG(yi)εG(ud2)+2, εG5(ud2)=εG(ud2), εG5(ud2+1)=εG(ud2+1),

    Moreover, dG(yi)=2, dG5(yi)=1, i=2,,mdG(y1)=2, dG5(y1)=2 and dG5(ud2)=dG(ud2)+m, dG5(ud2+1)=dG(ud2+1)+1

    It follows that

    ¯ξc(G)¯ξc(G5)=mi=2εG(yi)(n3)+εG(y1)(n3)+εG(ui)(n4)+εG(uj)(n4)+εG(ud2)(n1dG(ud2))+εG(ud2+1)(n1dG(ud2+1))mi=2εG5(yi)(n2)εG5(y1)(n3)εG5(ui)(n3)εG5(uj)(n3)εG5(ud2)(n1dG5(ud2))εG5(ud2+1)(n1dG5(ud2+1))=mi=2[εG(yi)(n3)εG5(yi)(n2)]εG(ui)εG(uj)+mεG(ud2)+εG(ud2+1)>(m1)[(εG(ud2)+2)(n3)(n2)(εG(ud2)+1)]εG(ui)εG(uj)+(m1)εG(ud2)+εG(ud2)+εG(ud2+1)>(m1)(n4εG(ud2))+dεG(ui)εG(uj)+(m1)εG(ud2)=(m1)(n4)+d(εG(ui)+εG(uj))>(m1)(n4)+d2d=(m1)(n4)d>(m1)(n4)(n2)>2(n4)(n2)=n6>0.

    Therefore,

    ¯ξc(G)>¯ξc(G5),

    which contradicts the chioce of G.

    Hence, the structure of G can be described as follows: its unique cycle C3 and its diametral path Pd+1=u0u1,,ud have only one edge ud2ud2+1 in common and there are some pendent edges attached to ud2 in G.

    Summarizing the discussion as in case 3, we obtain that for all G in Gdn, if the unique cycle and the diameter in G have edge in common. When d is even, then the graph say V1n,d with the minimum ¯ξc and when d is odd, we can similarly get that the extremal graph belongs to V3n,d.

    Summarizing cases 1–3, when d is odd, for any G1V3n,d and G2V4n,d, we can easily obtain that ¯ξc(G1)<¯ξc(G2). Therefore, V3n,d achieved the minimum ¯ξc for d is odd.

    When d is even, ¯ξc(V1n,d)=¯ξc(V2n,d), V1n,d and V2n,d obtain the minimum value of Eccentric connectivity coindex at the same time (See Figure 4).

    This completes the proof.

    In this paper, we first present the sharp lower bounds on ¯ξc for general connecteds graphs and present a structure of the extremal graphs for eccentric connectivity coindex over cacti graphs with n vertices and k cycles, then characterize the extremal trees with given order and diameter on the eccentric connectivity coindex. Moreover, we optimize the extremal structure of unicyclic graphs with given order and diameter. Along this line, some other interesting extremal problems on the eccentric connectivity coindex are valuable to be considered.

    H. Z. Wang is the corresponding author and was partially supported by the National Nature Science Foundation of China (No.11971011) and Natural Science Foundation of Jiangsu Province of China (No. BK20191047). The authors would like to thank the anonymous referees for their careful reading and helpful suggestions that improve the presentation of the paper.

    All authors in the paper have no conflict of interest.



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