🤖 AI Summary
This study investigates the computational complexity of the Dominating Set problem and its variants—such as Connected Dominating Set and Steiner Tree—in ball graphs and unit ball graphs. Under the Exponential Time Hypothesis (ETH), the authors establish fine-grained reductions to prove that Dominating Set in three-dimensional non-unit ball graphs and Weighted Dominating Set in unit ball graphs both admit no subexponential-time algorithms running in $2^{o(n)}$ time. This work presents the first $2^{o(n)}$-time lower bounds for several classical covering problems in these geometric graph models, highlighting a fundamental distinction in algorithmic tractability between unit and non-unit ball graphs and ruling out the existence of efficient subexponential algorithms for these problems.
📝 Abstract
Recently it was shown that many classic graph problems—Independent Set, Dominating Set, Hamiltonian Cycle, and more—can be solved in subexponential time on unit-ball graphs. More precisely, these problems can be solved in \(2^{O(n^{1-1/d})}\) time on unit-ball graphs in \(\mathbb {R}^d\), which is tight under ETH. The result can be generalized to intersection graphs of similarly-sized fat objects.