For a connected graph $G=(V,E)$ and a set $S\subseteq V\left(G\right)$ with at least two vertices, an $S$-Steiner tree is a subgraph $T=(V^{\text{'}},E^{\text{'}})$ of $G$ that is a tree with $S\subseteq V^{\text{'}}$. If the degree of each vertex of $S$ in $T$ is equal to 1, then $T$ is called a pendant $S$-Steiner tree. Two $S$-Steiner trees are internally disjoint if they share no vertices other than $S$ and have no edges in common. For $S\subseteq V\left(G\right)$ and $\left|S\right|\ge 2$, the pendant tree-connectivity ${\tau }_G\left(S\right)$ is the maximum number of internally disjoint pendant $S$-Steiner trees in $G$, and for $k\ge 2$, the $k$-pendant tree-connectivity ${\tau }_k\left(G\right)$...

Let G = (V, E) be a simple graph of order n and i be an integer with i ≥ 1. The set X i ⊆ V(G) is called an i-packing if each two distinct vertices in X i are more than i apart. A packing colouring of G is a partition X = {X 1, X 2, …, X k} of V(G) such that each colour class X i is an i-packing. The minimum order k of a packing colouring is called the packing chromatic number of G, denoted by χρ(G). In this paper we show, using a theoretical proof, that if q = 4t, for some integer t ≥ 3, then 9...

Erratum Identification and corrections of the existing mistakes in the paper On the total graph of Mycielski graphs, central graphs and their covering numbers, Discuss. Math. Graph Theory 33 (2013) 361-371.

In this paper we investigate the minimum number of colors required for a proper edge coloring of a finite, undirected, regular graph G in which no two adjacent vertices are incident to edges colored with the same set of colors. In particular, we study this parameter in relation to the direct product of G by a path or a cycle.

Let G be a finite connected graph on two or more vertices, and $G^{[N,k]}$ the distance-k graph of the N-fold Cartesian power of G. For a fixed k ≥ 1, we obtain explicitly the large N limit of the spectral distribution (the eigenvalue distribution of the adjacency matrix) of $G^{[N,k]}$. The limit distribution is described in terms of the Hermite polynomials. The proof is based on asymptotic combinatorics along with quantum probability theory.