A Constant Factor Approximation for Directed Feedback Vertex Set in Graphs of Bounded Genus
Hao Sun
TL;DR
This work proves a constant-factor approximation for the directed feedback vertex set problem on graphs embedded on surfaces of bounded genus. The main approach combines a primal–dual scheme for hitting facial dicycles with a genus-reduction separator that removes a constant-factor of the LP optimum and recurses on smaller-genus instances, complemented by an inductive LP-gap analysis. The paper develops topological tools (left/right separation, tubular neighbourhoods, and surgery) to justify the genus-reducing decompositions and to bound the overall approximation factor as a function of the genus $g$. The results extend constant-factor approximations known for planar graphs to bounded-genus graphs, with implications for the related dicycle-packing LP gap and DFVS-size bounds in terms of $g$.
Abstract
The minimum directed feedback vertex set problem consists in finding the minimum set of vertices that should be removed in order to make a directed graph acyclic. This is a well-known NP-hard optimization problem with applications in various fields, such as VLSI chip design, bioinformatics and transaction processing deadlock prevention and node-weighted network design. We show a constant factor approximation for the directed feedback vertex set problem in graphs of bounded genus.
