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Relating domination, exponential domination, and porous exponential domination

Authors: Michael A. Henning; Simon Jäger; Dieter Rautenbach;

Relating domination, exponential domination, and porous exponential domination

Abstract

The domination number $��(G)$ of a graph $G$, its exponential domination number $��_e(G)$, and its porous exponential domination number $��_e^*(G)$ satisfy $��_e^*(G)\leq ��_e(G)\leq ��(G)$. We contribute results about the gaps in these inequalities as well as the graphs for which some of the inequalities hold with equality. Relaxing the natural integer linear program whose optimum value is $��_e^*(G)$, we are led to the definition of the fractional porous exponential domination number $��_{e,f}^*(G)$ of a graph $G$. For a subcubic tree $T$ of order $n$, we show $��_{e,f}^*(T)=\frac{n+2}{6}$ and $��_e(T)\leq 2��_{e,f}^*(T)$. We characterize the two classes of subcubic trees $T$ with $��_e(T)=��_{e,f}^*(T)$ and $��(T)=��_e(T)$, respectively. Using linear programming arguments, we establish several lower bounds on the fractional porous exponential domination number in more general settings.

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Keywords

Vertex subsets with special properties (dominating sets, independent sets, cliques, etc.), FOS: Mathematics, Mathematics - Combinatorics, Integer programming, linear programming relaxation, Combinatorics (math.CO), Programming involving graphs or networks, exponential domination, porous exponential domination, domination

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Top 10%
Average
Green
hybrid