A Polynomial-Time Algorithm for 2-stable Instances of the k-terminal cut Problem
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The k-terminal cut problem is defined on an edge-weighted graph with k distinct vertices called "terminals." The goal is to remove a minimum weight collection of edges from the graph such that there is no path between any pair of terminals. The k-terminal cut problem is known to be NP-hard. There has been interest in determining special classes of graphs for which k-terminal cut can be solved in polynomial time. One special class of graphs is the class of γ-stable graphs, a notion introduced by Bilu and Linial. An instance of k-terminal cut is said to be γ-stable if edges in the cut can be multiplied by up to γ without changing the optimal solution. The best-known result to date for γ-stable instances of k-terminal cut states that the problem can be solved in polynomial time for γ≥ 4 by solving a certain linear program. In this paper, we improve this and show that γ-stable instances of k-terminal cut can be solved in polynomial time for γ≥ 2. The result is surprising: we show that a known 2-approximation algorithm for the problem actually delivers the unique optimal solution for 2-stable graphs. The algorithm utilizes only minimum cut procedures, obviating the use of linear programming.
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