SLIDE 1 The bounds of vertex Padmakar-Ivan index of k-trees
Shaohui Wang
Department of Mathematics and Physics, Texas A&M International University Joint with Zehui Shao, Jiabao Liu and Bing Wei
31st Cumberland Conference University of Central Florida, Orlando, FL
Shaohui Wang The bounds of vertex Padmakar-Ivan index of k-trees
SLIDE 2 Outline
Introduction
k-trees Padmakar-Ivan Index
Shaohui Wang The bounds of vertex Padmakar-Ivan index of k-trees
SLIDE 3 Outline
Introduction
k-trees Padmakar-Ivan Index
Our results Some proofs
Shaohui Wang The bounds of vertex Padmakar-Ivan index of k-trees
SLIDE 4 k-trees
Definition (Beineke and Pippert 1969) The k-tree, denoted by T k
n , for positive integers n, k with n ≥ k,
is defined recursively as follows: The smallest k-tree is the k-clique Kk. If G is a k-tree with n ≥ k vertices and a new vertex v of degree k is added and joined to the vertices of a k-clique in G, then the obtained graph is a k-tree with n + 1 vertices.
Shaohui Wang The bounds of vertex Padmakar-Ivan index of k-trees
SLIDE 5
k-trees
Definition (Beineke and Pippert 1969) The k-tree, denoted by T k
n , for positive integers n, k with n ≥ k,
is defined recursively as follows: The smallest k-tree is the k-clique Kk. If G is a k-tree with n ≥ k vertices and a new vertex v of degree k is added and joined to the vertices of a k-clique in G, then the obtained graph is a k-tree with n + 1 vertices. Example (Building a 2-tree) 1 2
SLIDE 6
k-trees
Definition (Beineke and Pippert 1969) The k-tree, denoted by T k
n , for positive integers n, k with n ≥ k,
is defined recursively as follows: The smallest k-tree is the k-clique Kk. If G is a k-tree with n ≥ k vertices and a new vertex v of degree k is added and joined to the vertices of a k-clique in G, then the obtained graph is a k-tree with n + 1 vertices. Example (Building a 2-tree) 1 2 3
SLIDE 7
k-trees
Definition (Beineke and Pippert 1969) The k-tree, denoted by T k
n , for positive integers n, k with n ≥ k,
is defined recursively as follows: The smallest k-tree is the k-clique Kk. If G is a k-tree with n ≥ k vertices and a new vertex v of degree k is added and joined to the vertices of a k-clique in G, then the obtained graph is a k-tree with n + 1 vertices. Example (Building a 2-tree) 1 2 3 4
SLIDE 8
k-trees
Definition (Beineke and Pippert 1969) The k-tree, denoted by T k
n , for positive integers n, k with n ≥ k,
is defined recursively as follows: The smallest k-tree is the k-clique Kk. If G is a k-tree with n ≥ k vertices and a new vertex v of degree k is added and joined to the vertices of a k-clique in G, then the obtained graph is a k-tree with n + 1 vertices. Example (Building a 2-tree) 1 2 3 4 5
SLIDE 9
k-trees
Definition (Beineke and Pippert 1969) The k-tree, denoted by T k
n , for positive integers n, k with n ≥ k,
is defined recursively as follows: The smallest k-tree is the k-clique Kk. If G is a k-tree with n ≥ k vertices and a new vertex v of degree k is added and joined to the vertices of a k-clique in G, then the obtained graph is a k-tree with n + 1 vertices. Example (Building a 2-tree) 1 2 3 4 5 6
SLIDE 10 k-trees
Definition (Beineke and Pippert 1969) The k-tree, denoted by T k
n , for positive integers n, k with n ≥ k,
is defined recursively as follows: The smallest k-tree is the k-clique Kk. If G is a k-tree with n ≥ k vertices and a new vertex v of degree k is added and joined to the vertices of a k-clique in G, then the obtained graph is a k-tree with n + 1 vertices. Example (Building a 2-tree) 1 2 3 4 5 6 7
Shaohui Wang The bounds of vertex Padmakar-Ivan index of k-trees
SLIDE 11 k-simplicial vertex
Definition A vertex v ∈ V (T k
n ) is called a k-simplicial vertex if v is a vertex
- f degree k whose neighbors form a k-clique of T k
n .
Shaohui Wang The bounds of vertex Padmakar-Ivan index of k-trees
SLIDE 12 k-simplicial vertex
Definition A vertex v ∈ V (T k
n ) is called a k-simplicial vertex if v is a vertex
- f degree k whose neighbors form a k-clique of T k
n .
In the following 2-tree, 5, 6, 7 are 2-simplicial vertices. 1 2 3 4 5 6 7
Shaohui Wang The bounds of vertex Padmakar-Ivan index of k-trees
SLIDE 13 k-simplicial vertex
Let S1(T k
n ) be the set of all simplicial vertices of T k n , for
n ≥ k + 2, and set S1(Kk) = φ, S1(Kk+1) = {v}, where v is any vertex of Kk+1.
Shaohui Wang The bounds of vertex Padmakar-Ivan index of k-trees
SLIDE 14 k-simplicial vertex
Let S1(T k
n ) be the set of all simplicial vertices of T k n , for
n ≥ k + 2, and set S1(Kk) = φ, S1(Kk+1) = {v}, where v is any vertex of Kk+1. Let G = G0, Gi = Gi−1 − vi, where vi is a simplicial vertex of Gi−1, then {v1, v2, ..., vn} is called a simplicial elimination
- rdering of the n-vertex graph G.
Shaohui Wang The bounds of vertex Padmakar-Ivan index of k-trees
SLIDE 15 k-path and k-star
The k-path, denoted by Pk
n , for positive integers n, k with
n ≥ k, is defined as follows: Starting with a k-clique G[{v1, v2, ..., vk}]. For i ∈ [k + 1, n], the vertex vi is adjacent to vertices {vi−1, vi−2, ..., vi−k} only.
Shaohui Wang The bounds of vertex Padmakar-Ivan index of k-trees
SLIDE 16
k-path and k-star
The k-path, denoted by Pk
n , for positive integers n, k with
n ≥ k, is defined as follows: Starting with a k-clique G[{v1, v2, ..., vk}]. For i ∈ [k + 1, n], the vertex vi is adjacent to vertices {vi−1, vi−2, ..., vi−k} only. Example (Building a 2-path) 1 2
SLIDE 17
k-path and k-star
The k-path, denoted by Pk
n , for positive integers n, k with
n ≥ k, is defined as follows: Starting with a k-clique G[{v1, v2, ..., vk}]. For i ∈ [k + 1, n], the vertex vi is adjacent to vertices {vi−1, vi−2, ..., vi−k} only. Example (Building a 2-path) 1 2 3
SLIDE 18
k-path and k-star
The k-path, denoted by Pk
n , for positive integers n, k with
n ≥ k, is defined as follows: Starting with a k-clique G[{v1, v2, ..., vk}]. For i ∈ [k + 1, n], the vertex vi is adjacent to vertices {vi−1, vi−2, ..., vi−k} only. Example (Building a 2-path) 1 2 3 4
SLIDE 19
k-path and k-star
The k-path, denoted by Pk
n , for positive integers n, k with
n ≥ k, is defined as follows: Starting with a k-clique G[{v1, v2, ..., vk}]. For i ∈ [k + 1, n], the vertex vi is adjacent to vertices {vi−1, vi−2, ..., vi−k} only. Example (Building a 2-path) 1 2 3 4 5
SLIDE 20
k-path and k-star
The k-path, denoted by Pk
n , for positive integers n, k with
n ≥ k, is defined as follows: Starting with a k-clique G[{v1, v2, ..., vk}]. For i ∈ [k + 1, n], the vertex vi is adjacent to vertices {vi−1, vi−2, ..., vi−k} only. Example (Building a 2-path) 1 2 3 4 5 6
SLIDE 21 k-path and k-star
The k-path, denoted by Pk
n , for positive integers n, k with
n ≥ k, is defined as follows: Starting with a k-clique G[{v1, v2, ..., vk}]. For i ∈ [k + 1, n], the vertex vi is adjacent to vertices {vi−1, vi−2, ..., vi−k} only. Example (Building a 2-path) 1 2 3 4 5 6 7
Shaohui Wang The bounds of vertex Padmakar-Ivan index of k-trees
SLIDE 22 The k-star, denoted by Sk
n , for positive integers n, k with
n ≥ k, is defined as follows: Starting with a k-clique G[{v1, v2, ..., vk}] and an independent set S with |S| = n − k. For i ∈ [k + 1, n], the vertex vi is adjacent to vertices {v1, v2, ..., vk} only.
Shaohui Wang The bounds of vertex Padmakar-Ivan index of k-trees
SLIDE 23
The k-star, denoted by Sk
n , for positive integers n, k with
n ≥ k, is defined as follows: Starting with a k-clique G[{v1, v2, ..., vk}] and an independent set S with |S| = n − k. For i ∈ [k + 1, n], the vertex vi is adjacent to vertices {v1, v2, ..., vk} only. Example (Building a 2-star) 1 2
SLIDE 24
The k-star, denoted by Sk
n , for positive integers n, k with
n ≥ k, is defined as follows: Starting with a k-clique G[{v1, v2, ..., vk}] and an independent set S with |S| = n − k. For i ∈ [k + 1, n], the vertex vi is adjacent to vertices {v1, v2, ..., vk} only. Example (Building a 2-star) 1 2 3
SLIDE 25
The k-star, denoted by Sk
n , for positive integers n, k with
n ≥ k, is defined as follows: Starting with a k-clique G[{v1, v2, ..., vk}] and an independent set S with |S| = n − k. For i ∈ [k + 1, n], the vertex vi is adjacent to vertices {v1, v2, ..., vk} only. Example (Building a 2-star) 1 2 3 4
SLIDE 26
The k-star, denoted by Sk
n , for positive integers n, k with
n ≥ k, is defined as follows: Starting with a k-clique G[{v1, v2, ..., vk}] and an independent set S with |S| = n − k. For i ∈ [k + 1, n], the vertex vi is adjacent to vertices {v1, v2, ..., vk} only. Example (Building a 2-star) 1 2 3 4 5
SLIDE 27
The k-star, denoted by Sk
n , for positive integers n, k with
n ≥ k, is defined as follows: Starting with a k-clique G[{v1, v2, ..., vk}] and an independent set S with |S| = n − k. For i ∈ [k + 1, n], the vertex vi is adjacent to vertices {v1, v2, ..., vk} only. Example (Building a 2-star) 1 2 3 4 5 6
SLIDE 28 The k-star, denoted by Sk
n , for positive integers n, k with
n ≥ k, is defined as follows: Starting with a k-clique G[{v1, v2, ..., vk}] and an independent set S with |S| = n − k. For i ∈ [k + 1, n], the vertex vi is adjacent to vertices {v1, v2, ..., vk} only. Example (Building a 2-star) 1 2 3 4 5 6 7
Shaohui Wang The bounds of vertex Padmakar-Ivan index of k-trees
SLIDE 29 Zagreb Indices
Definition (Gutman and Trinajsti´ c 1972) The first and second Zagreb indices of the graph G = (V , E) are defined as M1 =
d(v)2; M2 =
d(u)d(v).
Shaohui Wang The bounds of vertex Padmakar-Ivan index of k-trees
SLIDE 30 Zagreb Indices
Definition (Gutman and Trinajsti´ c 1972) The first and second Zagreb indices of the graph G = (V , E) are defined as M1 =
d(v)2; M2 =
d(u)d(v). Definition (Todeschini etc 2010; Wang and Wei 2015) The first(generalized) and second Multiplicative Zagreb indices
- f the graph G = (V , E) are defined as
- 1,c
(G) =
d(v)c, c ≥ 1;
(G) =
d(u)d(v).
Shaohui Wang The bounds of vertex Padmakar-Ivan index of k-trees
SLIDE 31 Theorem (Das and Gutman 2004) Let T be any tree on n vertices, then M1(Pn) ≤ M1(T) ≤ M1(Sn), M2(Pn) ≤ M2(T) ≤ M2(Sn).
Shaohui Wang The bounds of vertex Padmakar-Ivan index of k-trees
SLIDE 32 Theorem (Das and Gutman 2004) Let T be any tree on n vertices, then M1(Pn) ≤ M1(T) ≤ M1(Sn), M2(Pn) ≤ M2(T) ≤ M2(Sn). Theorem (Estes and Wei 2012) Let T k
n be any k-tree on n vertices, then
M1(Pk
n ) ≤ M1(T k n ) ≤ M1(Sk n ),
M2(Pk
n ) ≤ M2(T k n ) ≤ M2(Sk n ).
Shaohui Wang The bounds of vertex Padmakar-Ivan index of k-trees
SLIDE 33 Theorem (Gutman 2011) Let n ≥ 5 and Tn be any tree with n vertices, then
(Sn) ≤
(Tn) ≤
(Pn),
(Pn) ≤
(Tn) ≤
(Sn).
Shaohui Wang The bounds of vertex Padmakar-Ivan index of k-trees
SLIDE 34 Theorem (Gutman 2011) Let n ≥ 5 and Tn be any tree with n vertices, then
(Sn) ≤
(Tn) ≤
(Pn),
(Pn) ≤
(Tn) ≤
(Sn). Theorem (Wang and Wei 2015) Let T k
n be a k-tree on n ≥ k vertices, then
(Sk
n ) ≤
(T k
n ) ≤
(Pk
n ),
(Pk
n ) ≤
(T k
n ) ≤
(Sk
n ).
Shaohui Wang The bounds of vertex Padmakar-Ivan index of k-trees
SLIDE 35 Padmakar-Ivan Indices
Definition (Winener 1947) The Wiener Index of the graph G = (V , E) are defined as W (G) =
d(x, y).
Shaohui Wang The bounds of vertex Padmakar-Ivan index of k-trees
SLIDE 36 Padmakar-Ivan Indices
For any xy ∈ E(G), let nxy(x) be the number of vertices w ∈ V (G) such that d(x, w) < d(y, w). Definition (Gutman 1994) The Szeged index of the graph G = (V , E) are defined as Sz(G) =
nxy(x)nxy(y).
Shaohui Wang The bounds of vertex Padmakar-Ivan index of k-trees
SLIDE 37 Padmakar-Ivan Indices
For any xy ∈ E(G), let nxy(x) be the number of vertices w ∈ V (G) such that d(x, w) < d(y, w). Definition (Gutman 1994) The Szeged index of the graph G = (V , E) are defined as Sz(G) =
nxy(x)nxy(y). Definition (Khadikar 2000) The Padmakar-Ivan index of the graph G = (V , E) is defined as PI(G) =
[nxy(x) + nxy(y)]
Shaohui Wang The bounds of vertex Padmakar-Ivan index of k-trees
SLIDE 38 Known Results
Ashrafi and Loghman determined exact PI index of zig-zag polyhex nanotubes in 2006.
Shaohui Wang The bounds of vertex Padmakar-Ivan index of k-trees
SLIDE 39 Known Results
Ashrafi and Loghman determined exact PI index of zig-zag polyhex nanotubes in 2006. Klavzar provided the PI index: PI-partitions and Cartesian product graphs in 2007.
Shaohui Wang The bounds of vertex Padmakar-Ivan index of k-trees
SLIDE 40 Known Results
Ashrafi and Loghman determined exact PI index of zig-zag polyhex nanotubes in 2006. Klavzar provided the PI index: PI-partitions and Cartesian product graphs in 2007. Pattabiraman and Kandan discovered the product and join of two graphs for weighted PI indices in 2016.
Shaohui Wang The bounds of vertex Padmakar-Ivan index of k-trees
SLIDE 41 Known Results
Ashrafi and Loghman determined exact PI index of zig-zag polyhex nanotubes in 2006. Klavzar provided the PI index: PI-partitions and Cartesian product graphs in 2007. Pattabiraman and Kandan discovered the product and join of two graphs for weighted PI indices in 2016. Illic solved an open problem that the complete bipartite graph by adding one edge connecting two vertices from the class of size is the unique graph with the second-maximal value of PI index in 2010.
Shaohui Wang The bounds of vertex Padmakar-Ivan index of k-trees
SLIDE 42 Known Results
Ashrafi and Loghman determined exact PI index of zig-zag polyhex nanotubes in 2006. Klavzar provided the PI index: PI-partitions and Cartesian product graphs in 2007. Pattabiraman and Kandan discovered the product and join of two graphs for weighted PI indices in 2016. Illic solved an open problem that the complete bipartite graph by adding one edge connecting two vertices from the class of size is the unique graph with the second-maximal value of PI index in 2010. Yarahmadi et al. gave the first and second extremal bipartite graphs with respect to edge PI index in 2011.
Shaohui Wang The bounds of vertex Padmakar-Ivan index of k-trees
SLIDE 43 Known Results
Ashrafi and Loghman determined exact PI index of zig-zag polyhex nanotubes in 2006. Klavzar provided the PI index: PI-partitions and Cartesian product graphs in 2007. Pattabiraman and Kandan discovered the product and join of two graphs for weighted PI indices in 2016. Illic solved an open problem that the complete bipartite graph by adding one edge connecting two vertices from the class of size is the unique graph with the second-maximal value of PI index in 2010. Yarahmadi et al. gave the first and second extremal bipartite graphs with respect to edge PI index in 2011. Vukicevic and Stevanovic characterized bicyclic graphs with extremal values of edge PI index in 2013.
Shaohui Wang The bounds of vertex Padmakar-Ivan index of k-trees
SLIDE 44 Known Results
Ashrafi and Loghman determined exact PI index of zig-zag polyhex nanotubes in 2006. Klavzar provided the PI index: PI-partitions and Cartesian product graphs in 2007. Pattabiraman and Kandan discovered the product and join of two graphs for weighted PI indices in 2016. Illic solved an open problem that the complete bipartite graph by adding one edge connecting two vertices from the class of size is the unique graph with the second-maximal value of PI index in 2010. Yarahmadi et al. gave the first and second extremal bipartite graphs with respect to edge PI index in 2011. Vukicevic and Stevanovic characterized bicyclic graphs with extremal values of edge PI index in 2013. Klavar studied the difference between the Szeged index(PI index) and the Wiener index of cacti in 2018.
Shaohui Wang The bounds of vertex Padmakar-Ivan index of k-trees
SLIDE 45 Known Results
Let B be any bipartite graph on n vertices and m edges, then ”every edge of B has the PI-value as n − 2” and PI(B) = (n − 2)m.
Shaohui Wang The bounds of vertex Padmakar-Ivan index of k-trees
SLIDE 46 Known Results
Let B be any bipartite graph on n vertices and m edges, then ”every edge of B has the PI-value as n − 2” and PI(B) = (n − 2)m. In particular, if B is a tree, PI(B) = (n-1)(n-2).
Shaohui Wang The bounds of vertex Padmakar-Ivan index of k-trees
SLIDE 47 Known Results
Let B be any bipartite graph on n vertices and m edges, then ”every edge of B has the PI-value as n − 2” and PI(B) = (n − 2)m. In particular, if B is a tree, PI(B) = (n-1)(n-2). Question: For k-trees, do the PI values are the same?
Shaohui Wang The bounds of vertex Padmakar-Ivan index of k-trees
SLIDE 48 Main results
Not all k-trees have the same PI values. Theorem (Wang, Shao, Liu, Wei 2019) For any k-star Sk
n and k-path Pk n with n = kp + s vertices, where
2 ≤ s ≤ k + 1 and p ≥ 1, we have (i)PI(Sk
n ) = k(n − k)(n − k − 1),
(ii)PI(Pk
n ) = k(k+1)(p−1)(3kp+6s−2k−4) 6
+ (s−1)s(3k−s+2)
3
.
Shaohui Wang The bounds of vertex Padmakar-Ivan index of k-trees
SLIDE 49 Main results
Not all k-trees have the same PI values. Theorem (Wang, Shao, Liu, Wei 2019) For any k-star Sk
n and k-path Pk n with n = kp + s vertices, where
2 ≤ s ≤ k + 1 and p ≥ 1, we have (i)PI(Sk
n ) = k(n − k)(n − k − 1),
(ii)PI(Pk
n ) = k(k+1)(p−1)(3kp+6s−2k−4) 6
+ (s−1)s(3k−s+2)
3
. The k-star arrives the maximal PI values among all k-trees. Theorem (Wang, Shao, Liu, Wei 2019) Let T k
n be any k-tree on n ≥ k ≥ 1. Then PI(T k n ) ≤ PI(Sk n ).
Shaohui Wang The bounds of vertex Padmakar-Ivan index of k-trees
SLIDE 50 Main results
Not all k-trees have the same PI values. Theorem (Wang, Shao, Liu, Wei 2019) For any k-star Sk
n and k-path Pk n with n = kp + s vertices, where
2 ≤ s ≤ k + 1 and p ≥ 1, we have (i)PI(Sk
n ) = k(n − k)(n − k − 1),
(ii)PI(Pk
n ) = k(k+1)(p−1)(3kp+6s−2k−4) 6
+ (s−1)s(3k−s+2)
3
. The k-star arrives the maximal PI values among all k-trees. Theorem (Wang, Shao, Liu, Wei 2019) Let T k
n be any k-tree on n ≥ k ≥ 1. Then PI(T k n ) ≤ PI(Sk n ).
How about the minimal PI values among all k-trees?
Shaohui Wang The bounds of vertex Padmakar-Ivan index of k-trees
SLIDE 51 k-Spiral
Definition The k-spiral, denoted by T k∗
n,c with c ∈ [1, k − 1], is defined as
Pk−c
n−c + Kc, that is, V (T k∗ n,c) = {v1, v2, ..., vn} and
E(T k∗
n,c) = E(Pk−1 n−1 ) ∪ E(Kc) ∪ {v1vl, v2vl, ..., vn−cvl}, for
l ∈ [n − c + 1, n].
Shaohui Wang The bounds of vertex Padmakar-Ivan index of k-trees
SLIDE 52
k-Spiral
Definition The k-spiral, denoted by T k∗
n,c with c ∈ [1, k − 1], is defined as
Pk−c
n−c + Kc, that is, V (T k∗ n,c) = {v1, v2, ..., vn} and
E(T k∗
n,c) = E(Pk−1 n−1 ) ∪ E(Kc) ∪ {v1vl, v2vl, ..., vn−cvl}, for
l ∈ [n − c + 1, n]. Example (Building a 3-spiral with c = 2, say T 3∗
7,2)
1 2 3
SLIDE 53
k-Spiral
Definition The k-spiral, denoted by T k∗
n,c with c ∈ [1, k − 1], is defined as
Pk−c
n−c + Kc, that is, V (T k∗ n,c) = {v1, v2, ..., vn} and
E(T k∗
n,c) = E(Pk−1 n−1 ) ∪ E(Kc) ∪ {v1vl, v2vl, ..., vn−cvl}, for
l ∈ [n − c + 1, n]. Example (Building a 3-spiral with c = 2, say T 3∗
7,2)
1 2 3 4
SLIDE 54
k-Spiral
Definition The k-spiral, denoted by T k∗
n,c with c ∈ [1, k − 1], is defined as
Pk−c
n−c + Kc, that is, V (T k∗ n,c) = {v1, v2, ..., vn} and
E(T k∗
n,c) = E(Pk−1 n−1 ) ∪ E(Kc) ∪ {v1vl, v2vl, ..., vn−cvl}, for
l ∈ [n − c + 1, n]. Example (Building a 3-spiral with c = 2, say T 3∗
7,2)
1 2 3 4 5
SLIDE 55
k-Spiral
Definition The k-spiral, denoted by T k∗
n,c with c ∈ [1, k − 1], is defined as
Pk−c
n−c + Kc, that is, V (T k∗ n,c) = {v1, v2, ..., vn} and
E(T k∗
n,c) = E(Pk−1 n−1 ) ∪ E(Kc) ∪ {v1vl, v2vl, ..., vn−cvl}, for
l ∈ [n − c + 1, n]. Example (Building a 3-spiral with c = 2, say T 3∗
7,2)
1 2 3 4 5 6
SLIDE 56 k-Spiral
Definition The k-spiral, denoted by T k∗
n,c with c ∈ [1, k − 1], is defined as
Pk−c
n−c + Kc, that is, V (T k∗ n,c) = {v1, v2, ..., vn} and
E(T k∗
n,c) = E(Pk−1 n−1 ) ∪ E(Kc) ∪ {v1vl, v2vl, ..., vn−cvl}, for
l ∈ [n − c + 1, n]. Example (Building a 3-spiral with c = 2, say T 3∗
7,2)
1 2 3 4 5 6 7
Shaohui Wang The bounds of vertex Padmakar-Ivan index of k-trees
SLIDE 57 Main results
The partial lower bounds are deduced. Theorem (Wang, Shao, Liu, Wei 2019) For any k-spiral T k∗
n,c with n ≥ k ≥ 1, we have
(i) PI(Pk
n ) ≥ PI(T k∗ n,c) if c ∈ [1, k+1 2 ),
(ii) PI(Pk
n ) ≤ PI(T k∗ n,c) if c ∈ [ k+1 2 , k − 1].
Shaohui Wang The bounds of vertex Padmakar-Ivan index of k-trees
SLIDE 58 Main results
The partial lower bounds are deduced. Theorem (Wang, Shao, Liu, Wei 2019) For any k-spiral T k∗
n,c with n ≥ k ≥ 1, we have
(i) PI(Pk
n ) ≥ PI(T k∗ n,c) if c ∈ [1, k+1 2 ),
(ii) PI(Pk
n ) ≤ PI(T k∗ n,c) if c ∈ [ k+1 2 , k − 1].
The PI values of a k-spiral: Theorem (Wang, Shao, Liu, Wei 2019) For any k-spiral T k∗
n,c with n ≥ k vertices, where c ∈ [1, k − 1],
PI =
(n−k)(n−k−1)(4k−n+2) 3
if n ∈ [k, 2k − c],
3c(n−2k+c−1)(n−2k+c)+(k−c)(2c2+3nc−4kc+3kn−4k2−6k+3n−2) 3
if n ≥ 2k − c + 1.
Shaohui Wang The bounds of vertex Padmakar-Ivan index of k-trees
SLIDE 59 A tool
Let G ′ = G ∪ {u} be a k-tree obtained by adding a new vertex u to G. For any v1, v2 ∈ V (G), let d(v1, v2) be the distance between v1 and v2 in G, d′(v1, v2) be the distance between v1 and v2 in G ′. Build a fuction as follows: f : {w ∈ V (G ′), xy ∈ E(G)} to {1, 0} as follows: f (w, xy) = if w = u and d′(x, w) = d′(y, w), if w ∈ V (G) and d(x, w) − d′(x, w) = d(y, w) − d′(y, w), 1 if Otherwise.
Shaohui Wang The bounds of vertex Padmakar-Ivan index of k-trees
SLIDE 60 Some Remarks
The PI-values of k-paths do not attain the minimal values for k-trees and not all of k-spirals are strictly less than any PI-value of other type of k-trees.
Shaohui Wang The bounds of vertex Padmakar-Ivan index of k-trees
SLIDE 61 Some Remarks
The PI-values of k-paths do not attain the minimal values for k-trees and not all of k-spirals are strictly less than any PI-value of other type of k-trees. The two natural problems are that what is the minimum PI-value for k-trees and which type of k-trees will achieve the minimum PI-value?
Shaohui Wang The bounds of vertex Padmakar-Ivan index of k-trees
SLIDE 62 Thank you
Shaohui Wang The bounds of vertex Padmakar-Ivan index of k-trees