Partial Domination in Some Geometric Intersection Graphs and Some Complexity Results
Madhura Dutta, Anil Maheshwari, Subhas C. Nandy, Bodhayan Roy
TL;DR
This work studies the partial domination problem, a generalization of the classic dominating set, and the maximum dominating k-set, establishing their computational equivalence. It proves NP-hardness for α-partial domination on general graphs while identifying graph classes where domination remains easy but partial domination is hard. The authors then develop polynomial-time algorithms for maximum dominating k-set on several geometric intersection graphs, including unit interval and general interval graphs, as well as special cases of unit squares, axis-parallel unit-height rectangles, and disks intersected by a line, with runtimes that depend on structural parameters like box counts and diameter ratios. The results advance understanding of tractable partial domination in restricted geometric settings and propose parameterized and strip-based DP techniques that could extend to additional object families. These findings have potential implications for network coverage with limited resources and related combinatorial optimization problems on geometric graphs.
Abstract
{\em Partial domination problem} is a generalization of the {\em minimum dominating set problem} on graphs. Here, instead of dominating all the nodes, one asks to dominate at least a fraction of the nodes of the given graph by choosing a minimum number of nodes. For any real number $α\in(0,1]$, $α$-partial domination problem can be proved to be NP-complete for general graphs. In this paper, we define the {\em maximum dominating $k$-set} of a graph, which is polynomially transformable to the partial domination problem. The existence of a graph class for which the minimum dominating set problem is polynomial-time solvable, whereas the partial dominating set problem is NP-hard, is shown. We also propose polynomial-time algorithms for the maximum dominating $k$-set problem for the unit and arbitrary interval graphs. The problem can also be solved in polynomial time for the intersection graphs of a set of 2D objects intersected by a straight line, where each object is an axis-parallel unit square, as well as in the case where each object is a unit disk. Our technique also works for axis-parallel unit-height rectangle intersection graphs, where a straight line intersects all the rectangles. Finally, a parametrized algorithm for the maximum dominating $k$-set problem in a disk graph where the input disks are intersected by a straight line is proposed; here the parameter is the ratio of the diameters of the largest and smallest input disks.
