
arXiv: 1412.2559
handle: 11562/933103 , 20.500.12556/RUP-7800
We study a relaxation of the Vector Domination problem called Vector Connectivity (VecCon). Given a graph $G$ with a requirement $r(v)$ for each vertex $v$, VecCon asks for a minimum cardinality set $S$ of vertices such that every vertex $v\in V\setminus S$ is connected to $S$ via $r(v)$ disjoint paths. In the paper introducing the problem, Boros et al. [Networks, 2014] gave polynomial-time solutions for VecCon in trees, cographs, and split graphs, and showed that the problem can be approximated in polynomial time on $n$-vertex graphs to within a factor of $\log n+2$, leaving open the question of whether the problem is NP-hard on general graphs. We show that VecCon is APX-hard in general graphs, and NP-hard in planar bipartite graphs and in planar line graphs. We also generalize the polynomial result for trees by solving the problem for block graphs.
14 pages
FOS: Computer and information sciences, NP-težek problem, Discrete Mathematics (cs.DM), Computational Complexity (cs.CC), info:eu-repo/classification/udc/519.17, APX-hardness, NP-hardness, FOS: Mathematics, Mathematics - Combinatorics, 05C40, 05C85, 90C27, 68Q25, block graphs, vector connectivity, polynomial-time algorithm, APX-težek problem, bločni graf, APX-hardness; Block graphs; NP-hardness; Polynomial-time algorithm; Vector connectivity, Computer Science - Computational Complexity, vektorska povezanost, polinomski algoritem, Graph theory (including graph drawing) in computer science, Computational difficulty of problems (lower bounds, completeness, difficulty of approximation, etc.), Combinatorics (math.CO), Computer Science - Discrete Mathematics
FOS: Computer and information sciences, NP-težek problem, Discrete Mathematics (cs.DM), Computational Complexity (cs.CC), info:eu-repo/classification/udc/519.17, APX-hardness, NP-hardness, FOS: Mathematics, Mathematics - Combinatorics, 05C40, 05C85, 90C27, 68Q25, block graphs, vector connectivity, polynomial-time algorithm, APX-težek problem, bločni graf, APX-hardness; Block graphs; NP-hardness; Polynomial-time algorithm; Vector connectivity, Computer Science - Computational Complexity, vektorska povezanost, polinomski algoritem, Graph theory (including graph drawing) in computer science, Computational difficulty of problems (lower bounds, completeness, difficulty of approximation, etc.), Combinatorics (math.CO), Computer Science - Discrete Mathematics
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