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2320213106896

Five results on maximizing topological indices in graphs

Stijn Cambie Email: [email protected]. This work has been supported by a Vidi Grant of the Netherlands Organization for Scientific Research (NWO), grant number 639.032.614639.032.614. Radboud University Nijmegen, The Netherlands
(2020-11-11; 2021-03-25, 2021-08-16; 2021-09-29)
Abstract

In this paper, we prove a collection of results on graphical indices. We determine the extremal graphs attaining the maximal generalized Wiener index (e.g. the hyper-Wiener index) among all graphs with given matching number or independence number. This generalizes some work of Dankelmann, as well as some work of Chung. We also show alternative proofs for two recent results on maximizing the Wiener index and external Wiener index by deriving it from earlier results. We end with proving two conjectures. We prove that the maximum for the difference of the Wiener index and the eccentricity is attained by the path if the order nn is at least 99 and that the maximum weighted Szeged index of graphs of given order is attained by the balanced complete bipartite graphs.

keywords:
topological indices, average distance, Wiener index, eccentricity, Szeged index, extremal graphs

1 Introduction

Let GG be a simple connected graph, as we only work with connected graphs in this paper. We denote its vertex set by V(G)V(G) and its edge set by E(G).E(G). The independence number of a graph GG, denoted by α(G)\alpha(G), is the size of the largest independent vertex set. The matching number of a graph GG is the size of a maximum independent edge subset of GG, we will denote it by m(G)m(G) or mm. We will denote by 𝕋(n,m)\mathbb{T}(n,m) the set of all trees with nn vertices and matching number mm. A path PnP_{n} is a path of order nn.

Let d(u,v)d(u,v) denote the distance between vertices uu and vv in a graph GG. The diameter d(G)d(G) of a graph equals maxu,vV(G)d(u,v).\max_{u,v\in V(G)}d(u,v). The eccentricity of a vertex vv, ε(v)\varepsilon(v) equals maxuV(G)d(u,v).\max_{u\in V(G)}d(u,v). The eccentricity of a graph GG is the sum of the eccentricities over all vertices, i.e. ε(G)=vVε(v).\varepsilon(G)=\sum_{v\in V}\varepsilon(v).

The degree of the vertex uu will be denoted deg(u)\deg(u). For an edge e=uve=uv, nu(e)n_{u}(e) will be equal to the number of vertices xx for which d(x,u)<d(x,v)d(x,u)<d(x,v). The Wiener index of a graph GG equals the sum of distances between all unordered pairs of vertices, i.e.

W(G)={u,v}V(G)d(u,v).\operatorname{W}(G)=\sum_{\{u,v\}\subset V(G)}d(u,v).

The mean distance of the graph GG equals μ(G)=W(G)(n2).\mu(G)=\frac{\operatorname{W}(G)}{\binom{n}{2}}. Some general form of mean distance can be derived from the notion of power means.

Definition 1.1

The jthj^{th} power mean of nn positive real numbers x1,x2,,xnx_{1},x_{2},\ldots,x_{n} is

Mj(x1,,xn)=x1j+x2j++xnjnj.\operatorname{M}_{j}(x_{1},\ldots,x_{n})=\sqrt[j]{\frac{x_{1}^{j}+x_{2}^{j}+\ldots+x_{n}^{j}}{n}}.

When j=0j=0, M0(x1,,xn)=x1x2xnn\operatorname{M}_{0}(x_{1},\ldots,x_{n})=\sqrt[n]{x_{1}x_{2}\ldots x_{n}}.
Furthermore M(x1,,xn)=max{x1,x2,,xn},M(x1,,xn)=min{x1,x2,,xn}\operatorname{M}_{\infty}(x_{1},\ldots,x_{n})=\max\{x_{1},x_{2},\ldots,x_{n}\},\operatorname{M}_{-\infty}(x_{1},\ldots,x_{n})=\min\{x_{1},x_{2},\ldots,x_{n}\}.

Other graphical indices used in this paper, are the hyper-Wiener index, the external Wiener index, terminal Wiener index, Szeged index and weighted Szeged index. They are defined respectively as

WW(G)=12{u,v}V(G)d2(u,v)+d(u,v)\operatorname{WW}(G)=\frac{1}{2}\sum_{\{u,v\}\subset V(G)}d^{2}(u,v)+d(u,v)
Wex(G)=u,vV(G),min{deg(u),deg(v)}=1d(u,v)\operatorname{W}_{ex}(G)=\sum_{u,v\in V(G),\min\{\deg(u),\deg(v)\}=1}d(u,v)
TW(G)=u,vV(G),deg(u)=deg(v)=1d(u,v)\operatorname{TW}(G)=\sum_{u,v\in V(G),\deg(u)=\deg(v)=1}d(u,v)
Sz(G)=e={u,v}E(G)nu(e)nv(e)\operatorname{Sz}(G)=\sum_{e=\{u,v\}\in E(G)}n_{u}(e)\cdot n_{v}(e)
wSz(G)=e={u,v}E(G)(deg(u)+deg(v))nu(e)nv(e)\operatorname{wSz}(G)=\sum_{e=\{u,v\}\in E(G)}\left(\deg(u)+\deg(v)\right)\cdot n_{u}(e)\cdot n_{v}(e)

In Section 2 we give an alternative proof for a theorem of Dankelmann Dankelmann (1994) on the maximum Wiener index of a connected graph with given order and matching number. We prove this for a notion of generalized Wiener index Wf\operatorname{W}_{f}, implying the result for e.g. the hyper-Wienerindex. Due to a relation between order, matching number and independence number, we also observe a power mean version of a result of Chung Chung (1988). We present alternative, short proofs for the main results of Dimitrov et al. (2019) and Jiang and Li (2019) based on results known before in Sections 3 and 4 respectively. Also we give a proof for Conjecture 4.34.3 in Darabi et al. (2021) in Section 5 and for Conjecture 11 in Bok et al. (2019) in Section 6.

2 Maximum generalized Wiener index given mm or α\alpha

Theorems 2.142.14, 3.103.10 and 4.74.7 in the survey of Xu et al. (2014) give the extremal graphs attaining the minimum hyper-Wiener index among all graphs with given order and matching number, for the family of graphs being the connected graphs, the trees and the unicyclic graphs respectively. Some general version was proven in Chen et al. (2017) as the result holds for a more general class of indices represented by F.F. In this section we will prove the analog for the maximum. The general statement works for a different class of distance-based indices.

Definition 2.1

The generalized Wiener indices are of the form

Wf(G)={u,v}V(G)f(d(u,v))\operatorname{W}_{f}(G)=\sum_{\{u,v\}\subset V(G)}f\left(d(u,v)\right)

where ff is a convex function satisfying f(0)=0f(0)=0 which is strictly increasing on +\mathbb{R}^{+}.

Note that when we take fIdf\equiv\operatorname{Id} or f:x(x+12)f\colon x\mapsto\binom{x+1}{2}, we get the Wiener index or the hyper-Wiener index, respectively. The condition that f(0)=0f(0)=0 is just a handy convention, as Wf\operatorname{W}_{f} is just shifted with (n2)c\binom{n}{2}c if one shifts ff with a constant c.c. The additional constraint that ff is convex (when comparing with the result in Chen et al. (2017)) is added to have the same extremal graph for the whole class of indices.

Let An,m\operatorname{A}_{n,m} be a path with 2m12m-1 vertices, with one leaf of the path connected to n2m+12\lceil\frac{n-2m+1}{2}\rceil different vertices and the other leaf with n2m+12\lfloor\frac{n-2m+1}{2}\rfloor pendent vertices, i.e. it is a balanced double broom with n(2m1)n-(2m-1) leaves when n2m+1n\geq 2m+1 and if n=2mn=2m, it is a path.

2m22m-2n(2m1)2\lfloor\frac{n-(2m-1)}{2}\rfloorn(2m1)2\lceil\frac{n-(2m-1)}{2}\rceil
Figure 1: Extremal graph An,m\operatorname{A}_{n,m}

For any generalized Wiener index Wf\operatorname{W}_{f}, we will prove that An,m\operatorname{A}_{n,m} is the unique extremal graph GG attaining the maximum value of Wf(G)\operatorname{W}_{f}(G) among all graphs having order nn and matching number mm. This was known already for the Wiener index by Dankelmann Dankelmann (1994).

We will use a kind of tree rearrangements, which we call subtree pruning and regrafting (SPR). It was defined in Cambie (2019), but for completeness we give the definition here again.

Definition 2.2 (SPR)

Let GG be a graph. Given a rooted subtree SS of GG, such that the root d=SH.d=S\cap H. Pruning SS from GG is removing the whole structure SS excluding the root dd. Regrafting SS at a vertex vv, means that we are taking a copy SS^{\prime} of SS which we insert at vv, letting its root dd^{\prime} coincide with vv. No additional edges are drawn in this process.

SSddvv
ddvv
SS^{\prime}ddvv
Figure 2: the graph GG, SS being pruned from GG and SS being regrafted at vv

We know that extremal graphs are trees, since deleting an edge which is not part of a maximum matching will increase the generalized Wiener index as at least one distance strictly increases.

We will use the notation Wf(𝕋(n,m))=max{Wf(G)G𝕋(n,m)}\operatorname{W}_{f}(\mathbb{T}(n,m))=\max\{\operatorname{W}_{f}(G)\mid G\in\mathbb{T}(n,m)\}. For m=1m=1, the extremal graphs are stars. So from now onwards, we assume m>1m>1, which implies that the diameter of the extremal graph (being a tree) is at least 33.

The first proposition we need for the proof is the following.

Proposition 2.3

For fixed nn, when m1<m2m_{1}<m_{2} and the sets 𝕋(n,m1)\mathbb{T}(n,m_{1}) and 𝕋(n,m2)\mathbb{T}(n,m_{2}) are both nonempty, then Wf(𝕋(n,m1))<Wf(𝕋(n,m2))\operatorname{W}_{f}(\mathbb{T}(n,m_{1}))<\operatorname{W}_{f}(\mathbb{T}(n,m_{2})).

Proof 2.1.

Assume this proposition is not true. In that case there exist some nn and mm such that 𝕋(n,m)\mathbb{T}(n,m) and 𝕋(n,m+1)\mathbb{T}(n,m+1) are both nonempty and Wf(𝕋(n,m))Wf(𝕋(n,m+1)).\operatorname{W}_{f}(\mathbb{T}(n,m))\geq\operatorname{W}_{f}(\mathbb{T}(n,m+1)). For some fixed nn, we take the least integer mm for which Wf(𝕋(n,m))Wf(𝕋(n,m+1))\operatorname{W}_{f}(\mathbb{T}(n,m))\geq\operatorname{W}_{f}(\mathbb{T}(n,m+1)) holds and take an extremal graph G𝕋(n,m)G\in\mathbb{T}(n,m) with Wf(G)=Wf(𝕋(n,m))\operatorname{W}_{f}(G)=\operatorname{W}_{f}(\mathbb{T}(n,m)).

Since GG is a tree which is not a path (as a path reaches the largest possible matching number), we can choose a leaf \ell and a vertex ww of degree at least 33 such that d(w,)d(w,\ell) is the smallest among all such choices. Considering GG as a rooted tree in ww, there are at least three branches, the path PP from \ell to ww being one of them. Let SS be a branch different from PP and SS^{\prime} be the union of the remaining branches different from PP and SS. Here we do not consider ww as a vertex of SS nor of SS^{\prime}. We can prune the subtree SS (with root ww) and regraft it at \ell. After this operation, the set of distances between PP and SS or SS^{\prime} is the same as before, while the distance between any vertex of SS^{\prime} and any vertex of SS has increased with d(w,)d(w,\ell). Since ff is a strictly increasing function, this implies that Wf\operatorname{W}_{f} has strictly increased by performing the SPR operation, while the matching number has not increased with more than one. This implies that Wf(G)=Wf(𝕋(n,m))Wf(𝕋(n,i))\operatorname{W}_{f}(G)=\operatorname{W}_{f}(\mathbb{T}(n,m))\geq\operatorname{W}_{f}(\mathbb{T}(n,i)) for every im+1i\leq m+1 was not true. This contradiction implies that the proposition is true.

Let GG be an extremal graph and u0u_{0} and udu_{d} be two vertices such that the distance between them equals the diameter and the path 𝒫\mathcal{P} between them equals u0u1udu_{0}u_{1}\ldots u_{d}. If GG is the path 𝒫\mathcal{P}, we are in a trivial case since PP itself is of the form An,mA_{n,m}. In the other case, there are some subtrees attached to the path 𝒫\mathcal{P}. The following proposition gives more information about them.

Proposition 1.

There are no vertices of 𝒫\mathcal{P} different from u1u_{1} and ud1u_{d-1} having degree at least 33.

Proof 2.2.

If the proposition is not true, there is an extremal graph GG with a subtree SS connected to some uiu_{i} with 1<i<d1.1<i<d-1. Let G1G_{1} and G2G_{2} be the graphs by pruning and regrafting SS at u1u_{1} resp. ud1u_{d-1}. Let HH be the graph G\S,G\backslash S, i.e. the graph GG when SS is pruned Note that every neighbour of a leaf will be in a maximum matching. In particular, without loss of generality, we can assume u0u1u_{0}u_{1} and ud1udu_{d-1}u_{d} are edges in a maximum matching of H,G,G1H,G,G_{1} or G2G_{2}. This implies that the matching number of both G1G_{1} and G2G_{2} is exactly equal to m(H)+m(S),m(H)+m(S), while the matching number of GG, m(G)m(G), is at least equal to m(H)+m(S)m(H)+m(S) (and plausible one larger). So the matching number of both G1G_{1} and G2G_{2} is not larger than the matching number of G.G. Let S1S_{1} be the copy of SS which is connected to u1u_{1} and S2S_{2} be the copy of SS which is connected to ud1.u_{d-1}. We will prove that

(d1i)Wf(G1)+(i1)Wf(G2)>(d2)Wf(G).(d-1-i)\operatorname{W}_{f}(G_{1})+(i-1)\operatorname{W}_{f}(G_{2})>(d-2)\operatorname{W}_{f}(G). (1)

For every vH,vSv\in H,v^{\prime}\in S (here we take vv^{\prime} in S1S_{1} as the vertex corresponding to the original vv^{\prime} and similarly in S2S_{2}) we have (d1i)dG1(v,v)+(i1)dG2(v,v)(d2)dG(v,v)(d-1-i)d_{G_{1}}(v^{\prime},v)+(i-1)d_{G_{2}}(v^{\prime},v)\geq(d-2)d_{G}(v^{\prime},v) since (d1i)dG(u1,v)+(i1)dG(ud1,v)(d2)dG(ui,v).(d-1-i)d_{G}(u_{1},v)+(i-1)d_{G}(u_{d-1},v)\geq(d-2)d_{G}(u_{i},v). Since ff is convex and strictly increasing, (d1i)f(dG1(v,v))+(i1)f(dG2(v,v))(d2)f(dG(v,v)).(d-1-i)f\left(d_{G_{1}}(v^{\prime},v)\right)+(i-1)f\left(d_{G_{2}}(v^{\prime},v)\right)\geq(d-2)f\left(d_{G}(v^{\prime},v)\right). From this and the fact that it is strict for v=uiv=u_{i}, Equation (1) follows. Hence at least one of the two graphs G1G_{1} or G2G_{2} has a larger generalized Wiener index than GG and so taking into account Proposition 2.3 we conclude GG was not extremal.

Theorem 2.4

Let GG be a graph of order nn with matching number m.m. When ff is a strictly increasing, convex function, then Wf(G)Wf(An,m)\operatorname{W}_{f}(G)\leq\operatorname{W}_{f}(\operatorname{A}_{n,m}) with equality if and only if GAn,mG\cong\operatorname{A}_{n,m}.

Proof 2.3.

As a consequence of Proposition 1, the extremal graph is a path u1u2u3ud1u_{1}u_{2}u_{3}\ldots u_{d-1} with aa pendent vertices to u1u_{1} and bb pendent vertices to ud1u_{d-1}, where a,b1a,b\geq 1. The maximum of the generalized Wiener index Wf\operatorname{W}_{f} for such a graph with matching number equals mm clearly needs a diameter being equal to 2m2m if n2m+1n\geq 2m+1 and is the path if n=2m.n=2m. Since

Wf(G)=Wf(P2m1)+(a+b)i=1d1f(i)+(a+b)(a+b1)2f(2)+ab(f(d)f(2))\operatorname{W}_{f}(G)=\operatorname{W}_{f}(P_{2m-1})+(a+b)\sum_{i=1}^{d-1}f(i)+\frac{(a+b)(a+b-1)}{2}f(2)+ab\left(f(d)-f(2)\right)

with ff strictly increasing, i.e. f(d)f(2)>0f(d)-f(2)>0, the maximum occurs when |ab|1\lvert a-b\rvert\leq 1 as we are considering the nontrivial case with d3d\geq 3 (as m2m\geq 2) and a+b=n(2m1)a+b=n-(2m-1) being fixed.

As an immediate corollary, we determine the extremal graphs attaining the maximum generalized Wiener index among all graphs having order nn and independence number α\alpha for some regime.

Theorem 2.5

If GG is a connected graph with independence number n1αn2n-1\geq\alpha\geq\frac{n}{2}, then Wf(G)Wf(An,nα)\operatorname{W}_{f}(G)\leq\operatorname{W}_{f}(\operatorname{A}_{n,n-\alpha}), with equality if and only if G=An,nα.G=\operatorname{A}_{n,n-\alpha}.

Proof 2.4.

Note that for any graph, the sum α+mn\alpha+m\leq n, since given an independent set II and a matching MM, any edge of MM contains at least one vertex which is not in I.I. This implies that mnαn2.m\leq n-\alpha\leq\frac{n}{2}. Applying Proposition 2.3 (recall extremal graphs with respect to mm are trees) and Theorem 2.4, we have that Wf(G)Wf(An,nα)\operatorname{W}_{f}(G)\leq\operatorname{W}_{f}(\operatorname{A}_{n,n-\alpha}). Since the graph An,nα\operatorname{A}_{n,n-\alpha} has independence number α\alpha, it is the unique extremal graph.

In the case 2α<n22\leq\alpha<\frac{n}{2}, the proof of Dankelmann Dankelmann (1994) can be extended to Wf\operatorname{W}_{f}, as well. In that case the extremal graph being the balanced dumbbell graph Dn,α\operatorname{D}_{n,\alpha} of diameter 2α1.2\alpha-1. This is the graph obtained when connecting two vertices from two cliques of almost equal order n2α+2\lceil\frac{n}{2}\rceil-\alpha+2 and n2α+2\lfloor\frac{n}{2}\rfloor-\alpha+2 by a path of length 2α32\alpha-3.

2α32\alpha-3Kn(2α2)2K_{\lfloor\frac{n-(2\alpha-2)}{2}\rfloor}Kn(2α2)2K_{\lceil\frac{n-(2\alpha-2)}{2}\rceil}
Figure 3: Extremal graph Dn,α\operatorname{D}_{n,\alpha}
Theorem 2.6

If GG is a connected graph with independence number 2α<n22\leq\alpha<\frac{n}{2}, then Wf(G)Wf(Dn,α)\operatorname{W}_{f}(G)\leq\operatorname{W}_{f}(\operatorname{D}_{n,\alpha}), with equality if and only if G=Dn,α.G=\operatorname{D}_{n,\alpha}.

As corollaries, we get power mean versions of the result of Chung Chung (1988), which states that the average distance is bounded by the independence number.

Theorem 2.7

Let μj(G)\mu_{j}(G) be the jthj^{th} power mean of the distances {d(u,v)}{u,v}V(G)\left\{d(u,v)\right\}_{\{u,v\}\subset V(G)}. Then for j1j\geq 1 and any connected graph GG, one has μj(G)Mj(2α(G)1,1).\mu_{j}(G)\leq\operatorname{M}_{j}\left(2\alpha(G)-1,1\right).

Proof 2.5.

The function f:xxjf\colon x\mapsto x^{j} is a convex function on +\mathbb{R}^{+} when j1j\geq 1. Note that for this ff, we have μj(G)=WfG(n2)j.\mu_{j}(G)=\sqrt[j]{\frac{\operatorname{W}_{f}{G}}{\binom{n}{2}}}. So from the previous two theorems, we know the maximum is attained when GG equals An,nα\operatorname{A}_{n,n-\alpha} or Dn,α.\operatorname{D}_{n,\alpha}. Note that for every 1iα11\leq i\leq\alpha-1, there are more pairs of vertices {u,v}\{u,v\} with d(u,v)=id(u,v)=i then pairs with d(u,v)=2αid(u,v)=2\alpha-i in the extremal graph. Combining with Mj(1,2α1)Mj(i,2αi)\operatorname{M}_{j}(1,2\alpha-1)\geq\operatorname{M}_{j}(i,2\alpha-i) (true by the inequality of Jensen), we conclude.

By the observation that (2α1)j+1(2α)j(2\alpha-1)^{j}+1\leq(2\alpha)^{j} when j1j\geq 1, we also have the following corollary. Note that for j=1j=1, it is exactly the original result of Chung.

Corollary 2.

For every j1j\geq 1 and graph GG, we have μj(G)2j1jα(G).\mu_{j}(G)\leq 2^{\frac{j-1}{j}}\alpha{(G)}. Equality holds if and only if j=α(G)=1j=\alpha(G)=1.

3 Maximum external Wiener index of graphs

In this section, we give a short alternative proof for the main result in Dimitrov et al. (2019), which proves Conjecture 1111 in Gutman et al. (2016). We show that the conjecture is basically a corollary of a theorem in Gutman et al. (2009).

Remark that if TT is a spanning tree of a graph GG, then Wex(G)Wex(T)\operatorname{W}_{ex}(G)\leq\operatorname{W}_{ex}(T) since degT(u)degG(u)\deg_{T}(u)\leq\deg_{G}(u) and dG(u,v)dT(u,v)d_{G}(u,v)\leq d_{T}(u,v).

Note that for any two vertices uu and vv in a tree, there are two leaves such that the path between them goes through uu and vv. This implies that adding an edge between two non-neighbours of any tree will strictly decrease the external Wiener index as at least one term got smaller (or even vanishes). As a consequence, any extremal graph is a tree.

Hence the result will follow from the following lemma, as we know the extremal graphs are trees.

Lemma 3.

Let TT be a tree of order nn with \ell leaves. Then

u,vV(G):deg(u)>1,deg(v)=1d(v,u)\displaystyle\sum_{u,v\in V(G):\deg(u)>1,\deg(v)=1}d(v,u) (n)(n+1)2,\displaystyle\leq\ell\frac{(n-\ell)(n-\ell+1)}{2},
TW(T)\displaystyle\operatorname{TW}(T) (1)+24(n1).\displaystyle\leq\ell(\ell-1)+\left\lfloor\frac{\ell^{2}}{4}\right\rfloor(n-\ell-1).
Proof 3.1.

Let U={uV(G),deg(u)>1}U=\{u\in V(G),\deg(u)>1\} be the sets of nonleafs, which has size n.n-\ell. Note that for every leaf vv, G[U{v}]G[U\cup\{v\}] is a connected graph and hence

Ud(v,u)i=1ni=(n)(n+1)2.\sum_{U}d(v,u)\leq\sum_{i=1}^{n-\ell}i=\frac{(n-\ell)(n-\ell+1)}{2}.

Equality holds if and only if G[U]G[U] is a path and vv is connected to an endvertex of G[U]G[U]. The second part is Theorem 4 of Gutman et al. (2009), with the addition that it is also true for {2,3}.\ell\in\{2,3\}.

Theorem 3.1

The graphs on nn vertices with the maximum external Wiener index Wex\operatorname{W}_{ex} are balanced double brooms.

Proof 3.2.

Assume TT is the extremal graph and it has \ell leaves. Note that

Wex(T)=u,vV(G):deg(u)>1,deg(v)=1d(v,u)+TW(T)\operatorname{W}_{ex}(T)=\sum_{u,v\in V(G):\deg(u)>1,\deg(v)=1}d(v,u)+\operatorname{TW}(T)

is bounded by

(n)(n+1)2+(1)+24(n1)\ell\frac{(n-\ell)(n-\ell+1)}{2}+\ell(\ell-1)+\left\lfloor\frac{\ell^{2}}{4}\right\rfloor(n-\ell-1)

due to Lemma 3. Equality in the first part holds if and only if TT is a double broom. A double broom for which equality holds in the second equality need to be balanced and balanced double brooms attain equality. The maximum among all graphs is now attained by the double brooms having \ell leaves, where 2n12\leq\ell\leq n-1 is an integer maximizing the expression.

4 Maximum Wiener index of unicyclic graphs with given bipartition

In this section, we show that the answer to Problem 11.611.6 in Knor et al. (2016) is mainly a corollary of the proof of Problem 11.411.4 in the same survey, which was adressed in Cambie (2019). The problem, being the unsolved part in Du , was recently solved in Jiang and Li (2019) and Bok et al. (2019). Nevertheless, one can observe that the proof by deducing it from earlier work is much shorter.

We start with proving a lemma dealing with the case that the cycle is not minimal.

Lemma 4.

Among all unicyclic graphs of order n2kn\geq 2k containing an even cycle C2kC_{2k}, the Wiener index is maximized by the graph formed by attaching a path of order n2kn-2k to a vertex of a C2kC_{2k}.

Proof 4.1.

We can prove this by induction, the n=2kn=2k case being the trivial base case as C2kC_{2k} is the only unicyclic graph on 2k2k vertices containing a C2k.C_{2k}. Assume the lemma is true for n12kn-1\geq 2k. Any unicyclic graph GG of order n>2kn>2k containing a C2kC_{2k} has at least one leaf vv. Let H=G\vH=G\backslash v. Note that the distance from vv to the C2kC_{2k} is at most n2kn-2k and the diameter of GG is at most nkn-k. At least k1k-1 consecutive distances between vv and vertices of C2kC_{2k} appear twice, these are at most n2k+1n-2k+1 up to nk1n-k-1. Thus uHd(v,u)i=1nki+i=n2k+1nk1i\sum_{u\in H}d(v,u)\leq\sum_{i=1}^{n-k}i+\sum_{i=n-2k+1}^{n-k-1}i and together with the induction hypothesis on HH, we get the result.

Using the notation as has been done in Cambie (2019) (Figure 99), the theorem is stated below.

Theorem 4.1

The maximum Wiener index among all nn-vertex unicyclic graphs with bipartition sizes p,qp,q (1<pq1<p\leq q) is attained by exactly one graph, Gqp2,qp2,2p44.G^{4}_{\lceil{\frac{q-p}{2}\rceil},\lfloor{\frac{q-p}{2}\rfloor},2p-4}.

Proof 4.2.

Note that a graph GG having bipartition of sizes qpq\geq p has a matching number mm which is at most pp. If qp+3q\geq p+3, the result is a consequence of Theorem 7.1 and Proposition 2.1 from Cambie (2019) applied on n=p+qn=p+q and m=pm=p. If q{p,p+1}q\in\{p,p+1\}, we have to take the maximum over all possible graphs containing an even cycle.

The maximum for the graphs in Lemma 4 is attained when k=2k=2. There are multiple ways to see this. Let GG be C2kC_{2k} with a path Pn2kP_{n-2k} attached to it. Let vv be a neighbour of the vertex with degree 33, or a random vertex of G=C2kG=C_{2k} if n=2k.n=2k. Then

u,wG\vd(u,w)W(Pn1) and uG\vd(u,v)21+22+3++(n3).\sum_{u,w\in G\backslash v}d(u,w)\leq W(P_{n-1})\mbox{ and }\sum_{u\in G\backslash v}d(u,v)\leq 2\cdot 1+2\cdot 2+3+\ldots+(n-3).

Equality holds if and only if k=2.k=2.

If q=p+2q=p+2, we know the extremal graph containing a C4C_{4} with n=2p+2n=2p+2 and mpm\leq p is Gn/2m,n/2m,2m44G^{4}_{n/2-m,n/2-m,2m-4} by Section 77 in Cambie (2019). Furthermore W(Gn/2m,n/2m,2m44)<W(G1,1,2p44)W(G^{4}_{n/2-m,n/2-m,2m-4})<W(G^{4}_{1,1,2p-4}) if m<pm<p.

The graph G1,1,2p44G^{4}_{1,1,2p-4} has a larger Wiener index than the extremal graphs in Lemma 4 for k3k\geq 3, from which we conclude again. For this it is enough to note that for all k3k\geq 3, we have

W(G1,1,2k64)=43k3193k+11>k3=W(C2k),W(G^{4}_{1,1,2k-6})=\frac{4}{3}k^{3}-\frac{19}{3}k+11>k^{3}=W(C_{2k}),

as adding the path of order n2kn-2k to both structures only makes the difference larger.

5 Maximum difference of Wiener Index and Eccentricity

In this section, we prove Conjecture 4.34.3 in Darabi et al. (2021).

Theorem 5.1

For n9n\geq 9, among all graphs with order nn, W(G)ε(G)W(G)-\varepsilon(G) is maximized by Pn.P_{n}. Moreover, PnP_{n} is the unique extremal graph.

To start with, we prove that we can focus on trees as deleting an edge does not decrease the quantity (Wε)(W-\varepsilon), where (Wε)(G)(W-\varepsilon)(G) denotes W(G)ε(G)W(G)-\varepsilon(G).

Lemma 5.

Let GG be a graph with order n9n\geq 9 and radius at least 33. Let ee be an edge such that G\eG\backslash e is connected. Then (Wε)(G)(Wε)(G\e).(W-\varepsilon)(G)\leq(W-\varepsilon)(G\backslash e).

Proof 5.1.

Let e=uve=uv and assume (Wε)(G)>(Wε)(G\e).(W-\varepsilon)(G)>(W-\varepsilon)(G\backslash e). Suppose the shortest cycle in GG containing ee is CkC_{k}. Note that distances do not decrease when deleting edges, so we have to focus on the eccentricities that increase. Let zz be a vertex not belonging to CkC_{k} for which the eccentricity increases when deleting ee. Without loss of generality we can assume d(z,u)<d(z,v)d(z,u)<d(z,v). Let eccG\e(z)=dG\e(z,t)\operatorname{ecc}_{G\backslash e}(z)=d_{G\backslash e}(z,t) for a vertex tt (where possible t=vt=v). Then we know that d(z,t)<dG\e(z,t)d(z,t)<d_{G\backslash e}(z,t), so the shortest path from zz to tt in GG uses the edge uvuv and so d(z,t)=d(z,v)+d(v,t).d(z,t)=d(z,v)+d(v,t). This also implies that d(v,t)=dG\e(v,e).d(v,t)=d_{G\backslash e}(v,e). Combining these observations with the definition of eccentricity and the triangle inequality, we get that

eccG\e(z)eccG(z)\displaystyle\operatorname{ecc}_{G\backslash e}(z)-\operatorname{ecc}_{G}(z) dG\e(z,t)d(z,t)\displaystyle\leq d_{G\backslash e}(z,t)-d(z,t)
dG\e(z,v)+dG\e(v,t)(d(z,v)+d(v,t))\displaystyle\leq d_{G\backslash e}(z,v)+d_{G\backslash e}(v,t)-(d(z,v)+d(v,t))
=dG\e(z,v)d(z,v).\displaystyle=d_{G\backslash e}(z,v)-d(z,v).

As the difference in eccentricity for zz is cancelled by the difference of distance between zz and vv, while zz was taken arbitrary, (Wε)(G)>(Wε)(G\e)(W-\varepsilon)(G)>(W-\varepsilon)(G\backslash e) implies that

(Wε)(Ck)>(Wε)(Pk)k2k24kk2>(k+13)34k2k2(W-\varepsilon)(C_{k})>(W-\varepsilon)(P_{k})\Leftrightarrow\frac{k}{2}\left\lfloor\frac{k^{2}}{4}\right\rfloor-k\left\lfloor\frac{k}{2}\right\rfloor>\binom{k+1}{3}-\left\lfloor\frac{3}{4}k^{2}-\frac{k}{2}\right\rfloor (2)

which is only the case if k{3,5}k\in\{3,5\} and then the difference is exactly equal to 11.

Case: k=3k=3 To have a contradiction, both ecc(u)\operatorname{ecc}(u) and ecc(v)\operatorname{ecc}(v) need to increase when deleting ee. This implies there is a vertex ww such that 3ecc(u)=d(w,u)<dG\e(w)3\leq\operatorname{ecc}(u)=d(w,u)<d_{G\backslash e}(w). Let v2v_{2} be the neighbour of vv on a shortest path in GG from vv to w.w. Then dG\e(v2,u)=d(v2,u)+1.d_{G\backslash e}(v_{2},u)=d(v_{2},u)+1. So if eccG\e(v2)=ecc(v2)\operatorname{ecc}_{G\backslash e}(v_{2})=\operatorname{ecc}(v_{2}), we have an additional difference that (in the expansion of W(G\e)W(G)W(G\backslash e)-W(G)) is at least 11, leading to a contradiction. If eccG\e(v2)>ecc(v2)3\operatorname{ecc}_{G\backslash e}(v_{2})>\operatorname{ecc}(v_{2})\geq 3, there is an other vertex xx not belonging to the C3C_{3} such that dG\e(x,v2)>d(x,v2)d_{G\backslash e}(x,v_{2})>d(x,v_{2}) and we conclude again.

Case: k=5k=5 In this case, let v2v_{2} be the neighbour from vv in the C5C_{5} different from uu. When doing the check in the reduced case that (Wε)(Ck)>(Wε)(Pk)(W-\varepsilon)(C_{k})>(W-\varepsilon)(P_{k}), we take into account that the eccentricity of v2v_{2} goes up by 11 in C5C_{5}. So (Wε)(G)>(Wε)(G\e)(W-\varepsilon)(G)>(W-\varepsilon)(G\backslash e) is only possible if eccG\e(v2)>ecc(v2).\operatorname{ecc}_{G\backslash e}(v_{2})>\operatorname{ecc}(v_{2}). But since ecc(v2)3\operatorname{ecc}(v_{2})\geq 3, there is a vertex xx not belonging to the C5C_{5} for which dG\e(v2,x)>d(v2,x).d_{G\backslash e}(v_{2},x)>d(v_{2},x). As we did not take this difference into account before when looking to (Wε)(G)(Wε)(G\e)(W-\varepsilon)(G)-(W-\varepsilon)(G\backslash e), we conclude that (Wε)(G)(Wε)(G\e)(W-\varepsilon)(G)\leq(W-\varepsilon)(G\backslash e) again.

Having proven this lemma, it is essentially enough to prove it for trees, once checking the result for graphs with radius at least 2.2. For this a bit of work is needed (as one can expect due to the behaviour of the extremal graphs for n8n\leq 8).

Proof 5.2 (Proof of Theorem 5.1).

First, one can check that W(G)ε(G)W(G)-\varepsilon(G) is smaller than (Wε)(Pn)(W-\varepsilon)(P_{n}) when 15n915\geq n\geq 9 in case GG has radius at most 22. For n=9n=9, a brute force check confirms. For n=10n=10, if the diameter is at most 33, then W(G)97W(G)\leq 97 and ε(G)10\varepsilon(G)\geq 10 and we are done. If the diameter is 44, we have W(G)117W(G)\leq 117 and ε(G)24+23+62=26\varepsilon(G)\geq 2\cdot 4+2\cdot 3+6\cdot 2=26, so W(G)ε(G)91<95=(Wε)(P10).W(G)-\varepsilon(G)\leq 91<95=(W-\varepsilon)(P_{10}). The cases 11n1511\leq n\leq 15 work similarly. For n16n\geq 16, note that the diameter of GG is bounded by 44 and so W(G)4(n2)<(Wε)(Pn).W(G)\leq 4\binom{n}{2}<(W-\varepsilon)(P_{n}).

So from now on, we only have to consider graphs with radius at least 33 and hence by Lemma 5 we can first focus on trees. A bruteforce check by computer over all trees of order 9n209\leq n\leq 20 verifies the theorem for these values. For n21n\geq 21, we first observe that the diameter of an extremal graph is at least 77, since otherwise (Wε)(G)6(n2)3n<(Wε)(Pn).(W-\varepsilon)(G)\leq 6\binom{n}{2}-3n<(W-\varepsilon)(P_{n}). Now we can prove the statement by induction. If the diameter dd equals n1n-1, we have the path PnP_{n}. If the diameter is smaller, dn2d\leq n-2, one can remove a leaf vv which is not part of the diameter. Now the eccentricities of all vertices different from vv are the same in GG and G\vG\backslash v. By the induction hypothesis, we have (Wε)(G\v)(Wε)(Pn1).(W-\varepsilon)(G\backslash v)\leq(W-\varepsilon)(P_{n-1}). Furthermore we have

(Wε)(G)(Wε)(G\v)\displaystyle(W-\varepsilon)(G)-(W-\varepsilon)(G\backslash v) =uG\vd(u,v)ecc(v)\displaystyle=\sum_{u\in G\backslash v}d(u,v)-\operatorname{ecc}(v)
<1+2++(n2)\displaystyle<1+2+\ldots+(n-2)
=(Wε)(Pn)(Wε)(Pn1)\displaystyle=(W-\varepsilon)(P_{n})-(W-\varepsilon)(P_{n-1})

from which we conclude. This implies that PnP_{n} is the unique tree maximizing (Wε)(G).(W-\varepsilon)(G). By Lemma 5 no graph with a spanning tree which is not a path can be extremal (note that the radius does not decrease when removing edges). Since the cycle CnC_{n} (and the path PnP_{n} itself) is the only graph which has only PnP_{n} a spanning graph, but (Wε)(Cn)<(Wε)(Pn)(W-\varepsilon)(C_{n})<(W-\varepsilon)(P_{n}) for n>5n>5, as concluded from the computation in Equation 2, the path PnP_{n} is the unique extremal graph.

Additionally, we add two remarks on the work in Darabi et al. (2021) about the minimum for Wε.W-\varepsilon. In their Theorem 3.23.2, the authors prove that the minimum for (Wε)(T)(W-\varepsilon)(T) among trees is attained by caterpillars. More precisely, the extremal tree is PnP_{n} when n6n\leq 6 and if n7n\geq 7, the extremal tree is attained for the star Sn1S_{n-1} with one edge subdivided. This is mainly a corollary of the following lemma, as it implies that we only have to compare a few possible trees.

Lemma 6.

Among all trees with fixed diameter dd and order nn, the minimum of (Wε)(W-\varepsilon) occurs if and only if we have a path Pd+1P_{d+1} of diameter dd with the nd1n-d-1 remaining vertices connected to the same vertex on the path, which is a central vertex if dd is odd, or a central vertex or neighbour of it, if dd is even.

Proof 5.3.

Let UU be the set of vertices different from the ones on the diameter v0v1vdv_{0}v_{1}\ldots v_{d}. Then u,vUd(u,v)2(nd12)\sum_{u,v\in U}d(u,v)\leq 2\binom{n-d-1}{2} with equality if and only if they are all connected to the same vertex on the diameter. We note that for every uUu\in U, 0idd(u,vi)ε(v)\sum_{0\leq i\leq d}d(u,v_{i})-\varepsilon(v) is minimal if uu is connected to a central vertex and equality is also possible if it is connected to a neighbouring vertex of a central vertex when d+1d+1 is odd as then there is only one central vertex. Here we use that d(vj,vi)+d(vj,vdi)d2id(v_{j},v_{i})+d(v_{j},v_{d-i})\geq d-2i where uju_{j} is the neighbour of uu and 0i<d20\leq i<\frac{d}{2}.

We now also determine this minimum among all graphs.

Proposition 7.

For every graph GG of order nn, we have (Wε)(G)n(n4)2.(W-\varepsilon)(G)\geq\left\lceil\frac{n(n-4)}{2}\right\rceil.

Proof 5.4.

For every vertex vv, one has uV\vd(u,v)2ε(v)n4\sum_{u\in V\backslash v}d(u,v)-2\varepsilon(v)\geq n-4, since all distances are at least equal to one, there is a vertex uu with d(u,v)=ε(v)d(u,v)=\varepsilon(v) and an other one with d(w,v)ε(v)1d(w,v)\geq\varepsilon(v)-1. Summing over all vertices vv, we conclude that 2(Wε)(G)n(n4).2(W-\varepsilon)(G)\geq n(n-4). Dividing by 22 and observing that (Wε)(G)(W-\varepsilon)(G) is always an integer, we conclude.

The minimum of (Wε)(G)(W-\varepsilon)(G) is attained by the complement of

{n2K2if n is even,n12K2K1 or n32K2P3if n is odd.\begin{cases}\frac{n}{2}K_{2}&\text{if }n\text{ is even,}\\ \frac{n-1}{2}K_{2}\cup K_{1}\text{ or }\frac{n-3}{2}K_{2}\cup P_{3}&\text{if }n\text{ is odd.}\end{cases}

For n6n\geq 6, this is the exact characterization of the extremal graphs. The graph P4P_{4} for n=4n=4 and the one sketched in Figure 4 for n=5n=5 are also extremal.

Figure 4: Additional extremal graph for n=5n=5

6 Maximum weighted Szeged index

In this section, we prove the following open conjecture, posed in Bok et al. (2019).

Conjecture 8 (Conjecture 1 in Bok et al. (2019)).

For any nn-vertex graph GG, the weighted Szeged index of GG, wSz(G)\operatorname{wSz}(G), is upper-bounded by wSz(Kn2,n2)\operatorname{wSz}(K_{\lfloor\frac{n}{2}\rfloor,\lceil\frac{n}{2}\rceil}) and equality is only attained by the balanced complete bipartite graph Kn2,n2K_{\lfloor\frac{n}{2}\rfloor,\lceil\frac{n}{2}\rceil}, or K3K_{3} if n=3.n=3.

First, we make the following crucial observation.

Lemma 9.

For any edge e=uvE(G)e=uv\in E(G), we have nu(e)+nv(e)+deg(u)+deg(v)2n.n_{u}(e)+n_{v}(e)+\deg(u)+\deg(v)\leq 2n.

Proof 6.1.

Since nu(e)+nv(e)nn_{u}(e)+n_{v}(e)\leq n, this is trivial when deg(u)+deg(v)n\deg(u)+\deg(v)\leq n. If deg(u)+deg(v)>n\deg(u)+\deg(v)>n, then uu and vv have at least deg(u)+deg(v)n\deg(u)+\deg(v)-n neighbours xx in common, which satisfy d(x,u)=d(x,v)d(x,u)=d(x,v) and hence do not belong to Nu(e)N_{u}(e) nor Nv(e).N_{v}(e). Hence nu(e)+nv(e)n(deg(u)+deg(v)n)n_{u}(e)+n_{v}(e)\leq n-(\deg(u)+\deg(v)-n) which is equivalent with nu(e)+nv(e)+deg(u)+deg(v)2n.n_{u}(e)+n_{v}(e)+\deg(u)+\deg(v)\leq 2n.

Let the degrees of the vertices of the graph be a1,a2,,ana_{1},a_{2},\ldots,a_{n}. For an edge e=uve=uv whose end vertices have degree aia_{i} and aja_{j}, let xe=ai+aj2x_{e}=\frac{a_{i}+a_{j}}{2} be the average degree of the two endvertices.

Then by double counting, we find the following two equalities (the first one being the hand shaking lemma)

Lemma 10.

We have

iai=2|E| and iai2=2exe.\sum_{i}a_{i}=2|E|\mbox{ and }\sum_{i}a_{i}^{2}=2\sum_{e}x_{e}.

Next, we prove two propositions which are the main ingredients for the proof.

Proposition 11.

For every edge e=uve=uv, we have

(deg(u)+deg(v))nu(e)nv(e)2n24(nxe).\left(\deg(u)+\deg(v)\right)\cdot n_{u}(e)\cdot n_{v}(e)\leq 2\left\lfloor\frac{n^{2}}{4}\right\rfloor(n-x_{e}).
Proof 6.2.

Combining nu(e)nv(e)(nu(e)+nv(e)2)2n_{u}(e)\cdot n_{v}(e)\leq\left(\frac{n_{u}(e)+n_{v}(e)}{2}\right)^{2} (by AM-GM) and Lemma 9, we have

(deg(u)+deg(v))nu(e)nv(e)2xe(nxe)2.\left(\deg(u)+\deg(v)\right)\cdot n_{u}(e)\cdot n_{v}(e)\leq 2x_{e}(n-x_{e})^{2}.

Now we have xe(nxe)n24x_{e}(n-x_{e})\leq\left\lfloor\frac{n^{2}}{4}\right\rfloor if nn is even or when nn is odd and xen2x_{e}\not=\frac{n}{2} (as 2xe2x_{e} is integral).

When xe=n2x_{e}=\frac{n}{2}, then Lemma 9 gives nu(e)+nv(e)nn_{u}(e)+n_{v}(e)\leq n and hence nu(e)nv(e)n24n_{u}(e)\cdot n_{v}(e)\leq\lfloor\frac{n^{2}}{4}\rfloor and the conclusion holds again.

Proposition 12.

For any graph GG, we have

e2(nxe)nn24.\sum_{e}2\left(n-x_{e}\right)\leq n\left\lfloor\frac{n^{2}}{4}\right\rfloor.
Proof 6.3.

Using Lemma 10, we get

e2(nxe)\displaystyle\sum_{e}2\left(n-x_{e}\right) =2|E|n2exe\displaystyle=2|E|n-2\sum_{e}x_{e}
=iai(nai)\displaystyle=\sum_{i}a_{i}(n-a_{i})
nn24.\displaystyle\leq n\lfloor\frac{n^{2}}{4}\rfloor.
Proof 6.4 (Proof of Conjecture 8).

Combining Proposition 11 and Proposition 12, we find that the weighted Szeged index of the graph satisfies

wSz(G)\displaystyle\operatorname{wSz}(G) =e(deg(u)+deg(v))nu(e)nv(e)\displaystyle=\sum_{e}\left(\deg(u)+\deg(v)\right)\cdot n_{u}(e)\cdot n_{v}(e)
n24e2(nxe)\displaystyle\leq\left\lfloor\frac{n^{2}}{4}\right\rfloor\sum_{e}2\left(n-x_{e}\right)
n(n24)2\displaystyle\leq n\left(\left\lfloor\frac{n^{2}}{4}\right\rfloor\right)^{2}
=wSz(Kn2,n2)\displaystyle=\operatorname{wSz}(K_{\lfloor\frac{n}{2}\rfloor,\lceil\frac{n}{2}\rceil})

If nn is even, equality holds if and only there is equality in every step. In particular ai=n2a_{i}=\frac{n}{2} for all ii and thus nu(e)=nv(e)=n2n_{u}(e)=n_{v}(e)=\frac{n}{2} for every edge e=uve=uv, which also implies that the graph should be triangle-free as well since nu(e)+nv(e)=nn_{u}(e)+n_{v}(e)=n for every edge e.e. But then uu and vv are connected with disjoint independent sets of order n2\frac{n}{2} and since the degree of every vertex is exactly n2\frac{n}{2}, we conclude GKn2,n2G\cong K_{\frac{n}{2},\frac{n}{2}}.

If n=3n=3, we see that wSz(K3)=wSz(K2,1)\operatorname{wSz}(K_{3})=\operatorname{wSz}(K_{2,1}) and these two graphs are the only extremal ones.

If n5n\geq 5 is odd, equality holds if and only if GKn2,n2G\cong K_{\lfloor\frac{n}{2}\rfloor,\lceil\frac{n}{2}\rceil}. Note that all aia_{i} need to be equal to n2\lfloor\frac{n}{2}\rfloor or n2\lceil\frac{n}{2}\rceil to have equality in Proposition 12. Note that we also need equality in Lemma 9 for every edge to have equality in Proposition 11. So it is impossible that xe<n2x_{e}<\frac{n}{2} and if xe>n2x_{e}>\frac{n}{2}, we have a triangle with three vertices which all need to have degree n2\lceil\frac{n}{2}\rceil and do not create other triangles, which is impossible. Hence the conclusion follows as xe=n2x_{e}=\frac{n}{2} for every edge, i.e. the end vertices of any edge have degree n2\lfloor\frac{n}{2}\rfloor and n2.\lceil\frac{n}{2}\rceil.

Acknowledgements.
The author is very grateful to the anonymous referees for the time they dedicated to this article and for the comments they made which improved this manuscript.

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