Distance domination and distance irredundance in graphs

18Citations
Citations of this article
12Readers
Mendeley users who have this article in their library.

Abstract

A set D ⊆V of vertices is said to be a (connected) distance, k-dominating set of G if the distance between each vertex υ ∈V - D and D is at most k (and D induces a connected graph in G). The minimum cardinality of a (connected) distance k-dominating set in G is the (connected) distance k-domination number of G, denoted byγ k(G) (γ kc(G), respectively). The set D is defined to be a total k-dominating set of G if every vertex in V is within distance k from some vertex of D other than itself. The minimum cardinality among all total k-dominating sets of G is called the total k-domination number of G and is denoted by γkt(G). For x ∈ X ⊆ V, if Nk[x] - Nk[X - χ] ≠ φ, the vertex x is said to be k-irredundant in X. A set X containing only k-irredundant vertices is called k-irredundant. The k-irredundance number of G, denoted by irk (G), is the minimum cardinality taken over all maximal k-irredundant sets of vertices of G. In this paper we establish lower bounds for the distance k-irredundance number of graphs and trees. More precisely, we prove that 5k+1/2 irk(G) ≥ γkc(G) + 2k for each connected graph G and (2k + 1)irk(T) ≥ γkc(T) + 2k ≥ |V| +2k- kn1(T) for each tree T = (V,E] with n1(T) leaves. A class of examples shows that the latter bound is sharp. The second inequality generalizes a result of Meierling and Volkmann [9] and Cyman, Lernańska and Raczek [2] regarding γk. and the first generalizes a result of Favaron and Kratsch [4] regarding ir1. Furthermore, we shall show that γkc(G) ≥3k+1/2(G) - 2k for each connected graph G, thereby generalizing a result of Favaron and Kratsch [4] regarding k = 1.

Cite

CITATION STYLE

APA

Hansberg, A., Meierling, D., & Volkmann, L. (2007). Distance domination and distance irredundance in graphs. Electronic Journal of Combinatorics, 14(1 R), 1–10. https://doi.org/10.37236/953

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free