An Almost Quadratic Vertex Kernel for Subset Feedback Arc Set in Tournaments
Tian Bai
TL;DR
This work delivers the first polynomial kernel for Subset-FAST by introducing regular orders and the rich-vertex concept, showing that Subset-FAST admits an $O((αk)^2)$-vertex kernel when an $α$-approximation exists. Leveraging the known $α = O(\log k \log \log k)$ approximation for Subset-FAS, the authors obtain an almost quadratic kernel. The approach hinges on transforming any solution into a regular order, applying a sequence of safe reductions, and replacing long maximal non-terminal intervals with controlled gadgets via Reduction Rule RICH REPLACE. Overall, the paper advances parameterized complexity for Subset-FAST, bridging kernelization with approximation to achieve near-quadratic kernels and outlining avenues for further improvement if stronger approximations become available.
Abstract
In the Feedback Arc Set in Tournaments (Subset-FAST) problem, we are given a tournament $D$ and a positive integer $k$, and the objective is to determine whether there exists an arc set $S \subseteq A(D)$ of size at most $k$ whose removal makes the graph acyclic. This problem is well-known to be equivalent to a natural tournament ranking problem, whose task is to rank players in a tournament such that the number of pairs in which the lower-ranked player defeats the higher-ranked player is no more than $k$. Using the PTAS for Subset-FAST [STOC 2007], Bessy et al. [JCSS 2011] present a $(2 + \varepsilon)k$-vertex kernel for this problem, given any fixed $\varepsilon > 0$. A generalization of Subset-FAST, called Subset-FAST, further includes an additional terminal subset $T \subseteq V(D)$ in the input. The goal of Subset-FAST is to determine whether there is an arc set $S \subseteq A(D)$ of size at most $k$ whose removal ensures that no directed cycle passes through any terminal in $T$. Prior to our work, no polynomial kernel for Subset-FAST was known. In our work, we show that Subset-FAST admits an $\mathcal{O}((αk)^{2})$-vertex kernel, provided that Subset-FAST has an approximation algorithm with an approximation ratio $α$. Consequently, based on the known $\mathcal{O}(\log k \log \log k)$-approximation algorithm, we obtain an almost quadratic kernel for Subset-FAST.
