On the connective eccentricity index of two types of trees
Zikai Tang, Lingyao Jiang, Hanyuan Deng

TL;DR
This paper investigates the extremal values of the connective eccentricity index in trees, identifying those with minimal and maximal indices under specific structural constraints such as degree sequences and number of branching vertices.
Contribution
It provides a comprehensive characterization of extremal trees for the connective eccentricity index based on degree sequence and branching vertices.
Findings
Identified trees with extremal connective eccentricity index for given degree sequences.
Determined extremal trees with minimal and maximal index for fixed number of branching vertices.
Abstract
The connective eccentricity index , where and denote the eccentricity and the degree of the vertex , respectively. In this paper, we first determine the extremal trees which minimize and maximize the connective eccentricity index among all trees with a given degree sequence, and then determine the extremal trees which minimize and maximize the connective eccentricity index among all trees with a given number of branching vertices.
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Taxonomy
TopicsGraph theory and applications · Complex Network Analysis Techniques · Topological and Geometric Data Analysis
On the connective eccentricity index of two types of trees††thanks: Corresponding author: [email protected] (Hanyuan Deng).
Project supported by the program for excellent talents in Hunan Normal University(ET13101) and the National Natural Science Foundation of China (61572190).
Zikai Tang, Lingyao Jiang, Hanyuan Deng*
College of Mathematics and Computer Science,
Hunan Normal University, Changsha, Hunan 410081, P. R. China
Abstract: The connective eccentricity index , where and denote the eccentricity and the degree of the vertex , respectively. In this paper, we first determine the extremal trees which minimize and maximize the connective eccentricity index among all trees with a given degree sequence, and then determine the extremal trees which minimize and maximize the connective eccentricity index among all trees with a given number of branching vertices.
AMS classification: 05C05, 05C35, 05C90
Keywords: the connective eccentricity index, tree, extremal graph, degree sequence, the branching vertex.
1 Introduction
Let be a simple and connected graph with vertices. For a vertex , denotes the degree of (or just briefly). For vertices , the distance is defined as the length of a shortest path between and in . The eccentricity (or just briefly) of a vertex is the maximum distance from to any other vertex of . The diameter of a graph is the maximum eccentricity of any vertex in the graph. A vertex of degree one is called a pendant vertex. A path of is a pendant path if is a pendant vertex, the degree of any internal vertex () is two and the degree of is at least three. Let and denote the star and the path with vertices, respectively. For other terminologies and notations not defined here we refer the readers to [1].
In 2000, Gupta, Singh and Madan [2] introduced a novel, adjacency-cum-path length based, topological descriptor termed the connective eccentricity index. In order to explore the potential of the connective eccentricity index in predicting biological activity, authors used nonpeptide N-benzylimidazole derivatives to investigate the predictability of the connective eccentricity index with respect to antihypertensive activity. They showed that results obtained using the connective eccentricity index were better than the corresponding values obtained using Balaban’s mean square distance index and the accuracy of prediction was found to be about in the active range [2].
The connective eccentricity index (CEI) of a graph G was defined as
[TABLE]
The upper or lower bounds for the connective eccentricity index in terms of some graph invariants such as the radius, the independence number, the vertex connectivity, the minimum degree, the maximum degree etc. were recently reported in [3, 4, 5]. In this paper, we will prove that the ”greedy” caterpillar minimizes , while the ”greedy” tree maximizes among all trees with a given degree sequence. Moreover, we will determine the lower and upper bounds for the connective eccentricity index of an -vertex tree with a given number of branching vertices.
2 Preliminaries
In the following, we give some transformations which will be used in the next section.
Lemma 2.1**.**
(The transformation A) Let be a vertex of a graph with at least two vertices. For integer , is the tree obtained by attaching a star at its center to of , is the tree obtained by attaching pendent vertices to of (see Figure 1). Then .
**Proof. **In the graph , we have . It is easy to see from Figure 1 that for and for . By the definition of , we have
[TABLE]
Lemma 2.2**.**
(The transformation B) Let be a vertex of a nontrivial connected graph . For nonnegative integers and , denotes the graph obtained from by attaching to the vertex pendent paths and of lengths and , respectively. If , then .
**Proof. **(1) For , let be obtained from by deleting the edge and adding an edge . We have , and . If , then and . So,
[TABLE]
(2) For , let be obtained from by deleting the edge and adding an edge . If , then and . So, we have
[TABLE]
From above, the result is proved.
By using Lemma 2.1 and Lemma 2.2, we can obtain the following result directly.
Proposition 2.3**.**
Let be a tree with vertices and (depicted in Figure 2). Then
[TABLE]
3 The connective eccentricity index of trees with a given degree sequence
Given a degree sequence, let be the class of trees that realize this degree sequence. We will determine the trees which maximize or minimize the connective eccentricity index in , and will compare the maximal values of the connective eccentricity index for different degree sequences. Note that a sequence of positive integers is a degree sequence of a tree if and only if .
In the following, we firstly show that the greedy caterpillar minimize the connective eccentricity index in .
In [11], Wang gave the definition of the greedy caterpillar. Greedy caterpillars are not unique with given a degree sequence.
Definition 3.1**.**
[11]** For , let be the non-increasing degree sequence of a tree with and for some . The greedy caterpillar, , is constructed as follows:
- •
Start with a path .
- •
Let be a one-to-one function such that, for each pair , if , then .
- •
For each , attach pendant vertices to . For , attach pendant vertices to .
Theorem 3.2**.**
Among trees with a given tree degree sequence, the greedy caterpillar has the minimum the connective eccentricity index.
**Proof. **Fix a degree sequence which is written in the form described in Definition 3.1. Let be the collection of trees with degree sequence , and such that . We first show that is a caterpillar.
By contradiction, suppose is not a caterpillar. Let be a longest path in . Let be the least integer such that has a non-leaf neighbor not on . Then for the maximality of . Let be the component containing in .
Create a new tree from by replacing each edge of the form in with the edge (see Figure 3). Notice that and have the same degree sequence. However, for any vertex , since is a longest path in . For any vertex , we have
[TABLE]
By the definition of the connective eccentricity index, we have , a contradiction.
Now, we will show that is a greedy caterpillar. By contradiction, suppose is not a greedy caterpillar. Since is a caterpillar with internal vertices forming path , the eccentricity of any internal vertex is independent of the interval vertex degree assignments. There must be with and .
Create a new tree from by replacing each edge of the form ( be the pendant vertices of , respectively) with the edge . Notice that and have the same degree sequence and , , , . We have
[TABLE]
a contradiction.
Next, we will show that the greedy tree maximize the connective eccentricity index in .
Each tree is rooted at a vertex (while the root has no bearing on the connective eccentricity index, we use the added structure to direct our conversation). The height of a vertex is the distance to the root, and the tree’s height, , is the maximum of all heights of vertices. We start with some definitions.
Definition 3.3**.**
[12]** In a rooted tree, the list of multisets of degrees of vertices at height , starting with containing the degree of the root vertex, is called the level-degree sequence of the rooted tree.
Let be the number of entries in . It is easy to see that a list of multisets is the level degree sequence of a rooted tree if and only if (1) the multiset is a tree degree sequence; (2) ; and (3) and for all , .
In a rooted tree, the down-degree of the root is equal to its degree. The down degree of any other vertex is its degree minus one.
Definition 3.4**.**
[12]** Given the level-degree sequence of a rooted tree, the level-greedy rooted tree for this level-degree sequence is built as follows: (1) For each , place vertices in level and to each vertex, from left to right, assign a degree from in non-increasing order; (2) For , from left to right, join the next vertex in whose down-degree is to the first so far unconnected vertices on level . Repeat for .
Definition 3.5**.**
[12]** Given a tree degree sequence in non-increasing order, the greedy tree for this degree sequence is the level-greedy tree for the level-degree sequence that has , and for each ,
[TABLE]
with every entry in at most as large as every entry in .
A greedy tree with the degree sequence is shown in Figure 4.
Lemma 3.6**.**
Among all the trees with a given level-degree sequence, the level-greedy tree maximizes the connective eccentricity index.
**Proof. **By induction on the number of vertices, the base case with one vertex is trivial.
Let be a rooted tree with the given level-degree sequence and maximize the connective eccentricity index (i.e. is optimal). For vertices and , both of height (See Figure 5), we notice that , . Suppose for contradiction that . Create a new tree by moving children of and their descendants to adoptive parent . This effectively switches the degrees of and while maintaining the level degree sequence.
While , notice that does not increase and for all . Since , we have
[TABLE]
a contradiction to the optimality of . Otherwise, and are both optimal trees. In this case, we can repeat this shifting of degrees for pairs of vertices of height 1, followed by pairs of vertices of height 2, and so on until we either meet a contradiction or construct an optimal tree in which for all and of the same height.
Now, we have a partition of the level-degree sequence for into the level-degree sequences for . By the inductive hypothesis, we may assume that both and are level-greedy trees on their level-degree sequences. As a result, is a level-greedy tree.
The next theorem also yields a stronger result than merely the connective eccentricity index among trees with a given degree sequence.
Theorem 3.7**.**
Among all trees with a given degree sequence, the greedy tree has the maximal connective eccentricity index.
**Proof. **Let be given degree sequence in non-increasing order and the tree with the maximal connective eccentricity index with the given degree sequence.
Take a longest path in and a center vertex of this path as the root of . In , let be the component containing the leaf with the greatest height. By our choice of the root, if is the height of , then has height . The vertex set of can be divided into subsets , where , and for each ,
[TABLE]
By Lemma 3.6, is a level greedy tree. Next, we will prove that degree of every entry in at most as large as degree of every entry in .
Suppose that there are and such that and . Create a new tree by moving children of and their descendants to adoptive parent with the height of no change. This effectively switches the degrees of and while maintaining the degree sequence. We now examine two cases: and .
Case I. . Note that and for all , we have
[TABLE]
a contradiction to the optimality of .
Case II. . If , we notice that and for all , then
[TABLE]
a contradiction to optimality of .
If , we notice that and for all , then .
In conclusion, we have that the greedy tree has the maximal connective eccentricity index among the trees with a given degree sequence.
Remark 3.8**.**
Such extremal trees are not necessarily unique. In fact, the greedy tree give a more stronger restriction than what we needed, as stated in the theorem, while still not being the unique structure.
In the following, we will compare the connective eccentricity indices of greedy trees with different degree sequences.
Definition 3.9**.**
Let and be two non-increasing tree degree sequences. is said to majorize , denoted , if for
[TABLE]
Lemma 3.10**.**
[13]** Let and be two non-increasing tree degree sequences. If , then there exists a series of (non-increasing) tree degree sequences for such that
[TABLE]
In addition, each and differ at exactly two entries, say the and entries, , where and .
Theorem 3.11**.**
Let and be two non-increasing greedy tree degree sequences. If , then
[TABLE]
where is the greedy tree for degree sequence .
**Proof. **According to Lemma 3.10, it suffices to compare the connective eccentricity indices of two greedy trees whose degree sequences differ in two entries, each by exactly 1, i.e., we can assume that
[TABLE]
with , for some and all other entries are the same.
Let and be the vertices corresponding to and , respectively, and be a child of in (see Figure 6). Construct from by removing the edge and adding edge . Note that has the degree sequence , and by Theorem 3.7
[TABLE]
On the other hand, from the definition of the connective eccentricity index, we have
[TABLE]
By the proof of Theorem 3.7, we can see . So, .
Hence,
4 The connective eccentricity index of trees with a given number of branching vertices
A vertex of a tree with degree or greater is called a branching vertex of . For such a tree , it is easy to find that . Note that each tree different from the path possesses at least one branching vertices. In the following, we will find a lower bound and an upper bound for the connective eccentricity index of an -vertex tree with a given number of branching vertices.
Let be the set of all -vertex trees with exactly branching vertices. is the greedy caterpillar with degree sequence , and is the greedy tree with degree sequence , see Figure 7. Clearly, and .
Theorem 4.1**.**
If and , then
[TABLE]
with equality if and only if .
**Proof. **Let be a tree with the maximal connective eccentricity index. is a longest path in , and are all branching vertices of .
First, we show that for . If there is a vertex with and is its neighbor and (See Figure 8). Create a new tree (See Figure 8) from by replacing the edge with . Notice that and have the same number of branch vertices, and for any vertex since is a longest path in . For any vertex , and . So, we have
[TABLE]
a contradiction to the extremal property of .
From above, we know that is a tree with the degree sequence . By Theorem 3.2, we have the greedy caterpillar with the degree sequence . The result is true.
Theorem 4.2**.**
If and , then
[TABLE]
**Proof. **Let be a tree with the minimal connective eccentricity index. Note that every pendant path in is a pendant edge by Lemma 2.2.
We first show that has no vertex of degree two. If is a vertex of degree two in , then there is a branching vertex in such that and its neighbors except one are pendant vertices , where (see Figure 9). Create a new tree from by replacing edges with . Notice that with for any vertex , for any vertex and , , . So, we have
[TABLE]
a contradiction to the extremal property of .
From above, we know that is a tree with degree sequence . By Theorem 3.11 and Theorem 3.7, we have the greedy tree with the degree sequence . The result holds.
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