More on “Connected (n, m)-graphs with minimum and maximum zeroth-order general Randi? index”

Let G be a graph and d(u) denote the degree of a vertex u in G. The zeroth-order general Randi? index ⁰R_α(G) of the graph G is defined as ∑_u∈V(G)d(u)^α, where the summation goes over all vertices of G and α is an arbitrary real number. In this paper we correct the proof of the main Theorem 3.5 of the paper by Hu et al. [Y. Hu, X. Li, Y. Shi, T. Xu, Connected (n,m)-graphs with minimum and maximum zeroth-order general Randi? index, Discrete Appl. Math. 155 (8) (2007) 1044-1054] and give a more general Theorem. We finally characterize ¹ for α<0 the connected G(n,m)-graphs with maximum value ⁰R_α(G(n,m)), where G(n,m) is a simple connected graph with n vertices and m edges.     

Sharp bounds of the zeroth-order general Randi? index of bicyclic graphs with given pendent vertices

Let G be a simple connected graph and α be a given real number. The zeroth-order general Randi? index of ⁰R_α(G) is defined as ∑_v∈V(G)[d_G(v)]^α, where d_G(v) denotes the degree of the vertex v of G. In this paper, for any α(≠0,1), we give sharp bounds of the zeroth-order general Randi? index ⁰R_α of all bicyclic graphs with n vertices and k pendent vertices.     

Conjugated tricyclic graphs with the maximum zeroth-order general Randić index

Let G be a simple connected graph and α be a given real number. The zeroth-order general Randi? index of G is defined as ⁰ R _α (G)=∑ _v∈V(G)[d _G (v)] ^α , where d _G (v) denotes the degree of the vertex v of G. In this paper, for any α>2, we give sharp upper bounds of the zeroth-order general Randi? index ⁰ R _α of all conjugated tricyclic graphs with 2m vertices.     

A sharp lower bound of the Randi? index of cacti with r pendants

The Randi? index of a simple connected graph G is defined as ∑_uv∈E(G)(d(u)d(v))^-1/2. In this paper, we present a sharp lower bound on the Randi? index of cacti with r pendants.     

Sharp bounds for the largest eigenvalue of the signless Laplacian of a graph

Let G be a simple connected graph with n vertices and m edges. Denote the degree of vertex v_i by d(v_i). The matrix Q(G)=D(G)+A(G) is called the signless Laplacian of G, where D(G)=diag(d(v₁),d(v₂),…,d(v_n)) and A(G) denote the diagonal matrix of vertex degrees and the adjacency matrix of G, respectively. Let q₁(G) be the largest eigenvalue of Q(G). In this paper, we first present two sharp upper bounds for q₁(G) involving the maximum degree and the minimum degree of the vertices of G and give a new proving method on another sharp upper bound for q₁(G). Then we present three sharp lower bounds for q₁(G) involving the maximum degree and the minimum degree of the vertices of G. Moreover, we determine all extremal graphs which attain these sharp bounds.     

Conjugated trees with minimum general Randi? index

The general Randi? index R_α(G) is the sum of the weights (d_G(u)d_G(v))^α over all edges uv of a (molecular) graph G, where α is a real number and d_G(u) is the degree of the vertex u of G. In this paper, for any real number α≤−1, the minimum general Randi? index R_α(T) among all the conjugated trees (trees with a Kekulé structure) is determined and the corresponding extremal conjugated trees are characterized. These trees are also extremal over all the conjugated chemical trees.     

Bounds on Randi? indices

The general Randi? index of a molecular graph G is the sum of [d(u)d(v)]^α over all edges uv∈G, where d(v) denotes the degree of the vertex v in G and α is an arbitrary number. When α=−1/2, it is called the Randi? index. Delorme et al. stated a best possible lower bound on the Randi? index of a triangle-free graph with given minimum degree. Their false proof was pointed out by Liu et al. In this note, we derive some sharp bounds on the general Randi? index which implies their lower bound for triangle-free graphs of order n with maximum degree at most n/4, and also prove it for triangle-free graphs with small minimum degree.     

Radio number for trees

Let G be a connected graph with diameter diam(G). The radio number for G, denoted by rn(G), is the smallest integer k such that there exists a function f:V(G)→{0,1,2,…,k} with the following satisfied for all vertices u and v: |f(u)-f(v)|?diam(G)-d_G(u,v)+1, where d_G(u,v) is the distance between u and v. We prove a lower bound for the radio number of trees, and characterize the trees achieving this bound. Moreover, we prove another lower bound for the radio number of spiders (trees with at most one vertex of degree more than two) and characterize the spiders achieving this bound. Our results generalize the radio number for paths obtained by Liu and Zhu.     

The smallest Randić index for trees

The general Randi? index R _α (G) is the sum of the weight d(u)d(v) ^α over all edges uv of a graph G, where α is a real number and d(u) is the degree of the vertex u of G. In this paper, for any real number α?≠?0, the first three minimum general Randi? indices among trees are determined, and the corresponding extremal trees are characterized.     

Trees with second minimum general Randić index for α>0

The general Randi? index R _α (G) of a graph G is the sum of the weights (d(u)d(v)) ^α of all edges uv of G, where α is a real number(α≠0) and d(u) denotes the degree of the vertex u. We have known that P _n has minimum general Randi? index for α>0 among trees when n≥5. In this paper, we prove that P _n,3 has second minimum general Randi? index for α>0 among trees when n≥7.     

Diameter-girth sufficient conditions for optimal extraconnectivity in graphs

For a connected graph G, the rth extraconnectivity κ_r(G) is defined as the minimum cardinality of a cutset X such that all remaining components after the deletion of the vertices of X have at least r+1 vertices. The standard connectivity and superconnectivity correspond to κ₀(G) and κ₁(G), respectively. The minimum r-tree degree of G, denoted by ξ_r(G), is the minimum cardinality of N(T) taken over all trees T⊆G of order |V(T)|=r+1, N(T) being the set of vertices not in T that are neighbors of some vertex of T. When r=1, any such considered tree is just an edge of G. Then, ξ₁(G) is equal to the so-called minimum edge-degree of G, defined as ξ(G)=min{d(u)+d(v)-2:uv∈E(G)}, where d(u) stands for the degree of vertex u. A graph G is said to be optimally r-extraconnected, for short κ_r-optimal, if κ_r(G)?ξ_r(G). In this paper, we present some sufficient conditions that guarantee κ_r(G)?ξ_r(G) for r?2. These results improve some previous related ones, and can be seen as a complement of some others which were obtained by the authors for r=1.     

On algebraic connectivity augmentation

Suppose that G is an undirected graph, and that H is a spanning subgraph of G^c whose edges induce a subgraph on p vertices. We consider the expression α(G∪H)-α(G), where α denotes the algebraic connectivity. Specifically, we provide upper and lower bounds on α(G∪H)-α(G) in terms of p, and characterise the corresponding equality cases. We also discuss the density of the expression α(G∪H)-α(G) in the interval [0,p]. A bound on α(G∪H)-α(G) is provided in a special case, and several examples are considered.     

The eccentric connectivity index of nanotubes and nanotori

Let G be a molecular graph. The eccentric connectivity index ξ^c(G) is defined as ξ^c(G)=∑_u∈V(G)deg_G(u)ε_G(u), where deg_G(u) denotes the degree of vertex u and ε_G(u) is the largest distance between u and any other vertex v of G. In this paper exact formulas for the eccentric connectivity index of TUC₄C₈(S) nanotube and TC₄C₈(S) nanotorus are given.     

Degree conditions and degree bounded trees

We give sufficient conditions for a graph to have degree bounded trees. Let G be a connected graph and A a vertex subset of G. We denote by σ_k(A) the minimum value of the degree sum in G of any k independent vertices in A and by w(G−A) the number of components in the induced subgraph G−A. Our main results are the following: (i) If σ_k(A)≥|V(G)|−1, then G contains a tree T with maximum degree at most k and A⊆V(T). (ii) If σ_k−w(G−A)(A)≥|A|−1, then G contains a spanning tree T such that d_T(x)≤k for every x∈A. These are generalizations of the result by Win [S. Win, Existenz von Gerüsten mit Vorgeschriebenem Maximalgrad in Graphen, Abh. Math. Sem. Univ. Hamburg 43 (1975) 263-267] and the degree conditions are sharp.     

Bounding the diameter of a distance-transitive graph

A graph Γ is distance-transitive if for all vertices u, v, x, y such that d(u, v) = d(x, y) there is an automorphism h of Γ such that uh = x, vh = y. We show how to find a bound for the diameter of a bipartite distance-transitive graph given a bound for the order |G_α| of the stabilizer of a vertex.     

On the spanning connectivity of graphs

A k-containerC(u,v) of G between u and v is a set of k internally disjoint paths between u and v. A k-container C(u,v) of G is a k^*-container if it contains all vertices of G. A graph G is k^*-connected if there exists a k^*-container between any two distinct vertices. The spanning connectivity of G, κ^*(G), is defined to be the largest integer k such that G is w^*-connected for all 1?w?k if G is a 1^*-connected graph. In this paper, we prove that κ^*(G)?2δ(G)-n(G)+2 if (n(G)/2)+1?δ(G)?n(G)-2. Furthermore, we prove that κ^*(G-T)?2δ(G)-n(G)+2-|T| if T is a vertex subset with |T|?2δ(G)-n(G)-1.     

On the restricted connectivity and superconnectivity in graphs with given girth

The restricted connectivity κ^′(G) of a connected graph G is defined as the minimum cardinality of a vertex-cut over all vertex-cuts X such that no vertex u has all its neighbors in X; the superconnectivity κ₁(G) is defined similarly, this time considering only vertices u in G-X, hence κ₁(G)?κ^′(G). The minimum edge-degree of G is ξ(G)=min{d(u)+d(v)-2:uv∈E(G)}, d(u) standing for the degree of a vertex u. In this paper, several sufficient conditions yielding κ₁(G)?ξ(G) are given, improving a previous related result by Fiol et al. [Short paths and connectivity in graphs and digraphs, Ars Combin. 29B (1990) 17-31] and guaranteeing κ₁(G)=κ^′(G)=ξ(G) under some additional constraints.     

On the Szeged and the Laplacian Szeged spectrum of a graph

For a given graph G its Szeged weighting is defined by w(e)=n_u(e)n_v(e), where e=uv is an edge of G,n_u(e) is the number of vertices of G closer to u than to v, and n_v(e) is defined analogously. The adjacency matrix of a graph weighted in this way is called its Szeged matrix. In this paper we determine the spectra of Szeged matrices and their Laplacians for several families of graphs. We also present sharp upper and lower bounds on the eigenvalues of Szeged matrices of graphs.     

A distance approximating trees

A 1-approximation of connected graph G=(V,E) is a tree T=(V,E^′) with the same vertex set such that for every two vertices |d_G(u,v)−d_T(u,v)|1. A polynomial time algorithm is designed for finding such a tree.     

The asymptotic distribution of weighted empirical distribution functions

Let G_n denote the empirical distribution based on n independent uniform (0, 1) random variables. The asymptotic distribution of the supremum of weighted discrepancies between G_n(u) and u of the forms 6w_v(u)D_n(u)6 and 6w_v(G_n(u))D_n(u)6, where D_n(u) = G_n(u)?u, w_v(u) = (u(1?u))^?1+v and 0 ? v < $\text{1}\text{2}$ is obtained. Goodness-of-fit tests based on these statistics are shown to be asymptotically sensitive only in the extreme tails of a distribution, which is exactly where such statistics that use a weight function w_v with $\text{1}\text{2}$ ? v ? 1 are insensitive. For this reason weighted discrepancies which use the weight function w_v with 0 ? v < $\text{1}\text{2}$ are potentially applicable in the construction of confidence contours for the extreme tails of a distribution.