Partitioning a graph into defensive k-alliances

Mathematics – Combinatorics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

10.1007/s10114-010-9075-6

A defensive $k$-alliance in a graph is a set $S$ of vertices with the property that every vertex in $S$ has at least $k$ more neighbors in $S$ than it has outside of $S$. A defensive $k$-alliance $S$ is called global if it forms a dominating set. In this paper we study the problem of partitioning the vertex set of a graph into (global) defensive $k$-alliances. The (global) defensive $k$-alliance partition number of a graph $\Gamma=(V,E)$, ($\psi_{k}^{gd}(\Gamma)$) $\psi_k^{d}(\Gamma)$, is defined to be the maximum number of sets in a partition of $V$ such that each set is a (global) defensive $k$-alliance. We obtain tight bounds on $\psi_k^{d}(\Gamma)$ and $\psi_{k}^{gd}(\Gamma)$ in terms of several parameters of the graph including the order, size, maximum and minimum degree, the algebraic connectivity and the isoperimetric number. Moreover, we study the close relationships that exist among partitions of $\Gamma_1\times \Gamma_2$ into (global) defensive $(k_1+k_2)$-alliances and partitions of $\Gamma_i$ into (global) defensive $k_i$-alliances, $i\in \{1,2\}$.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Partitioning a graph into defensive k-alliances does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Partitioning a graph into defensive k-alliances, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Partitioning a graph into defensive k-alliances will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-425223

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.