Min (A)cyclic Feedback Vertex Sets and Min Ones Monotone 3-SAT
Irena Rusu

TL;DR
This paper explores the complexity of feedback vertex set problems in directed graphs, linking them to monotone 3-SAT variants, establishing NP-completeness for restricted cases, and identifying graph classes where solutions are polynomial.
Contribution
It establishes NP-completeness of 2-Choice versions of feedback vertex set and monotone 3-SAT problems, and identifies graph classes where acyclic feedback vertex set problems are polynomial.
Findings
NP-completeness of 2-Choice MFVS and variants
Polynomial algorithms for flow reducible graphs and C1P-digraphs
Connections between feedback vertex sets and monotone 3-SAT variants
Abstract
In directed graphs, we investigate the problems of finding: 1) a minimum feedback vertex set (also called the Feedback Vertex Set problem, or MFVS), 2) a feedback vertex set inducing an acyclic graph (also called the Vertex 2-Coloring without Monochromatic Cycles problem, or Acyclic FVS) and 3) a minimum feedback vertex set inducing an acyclic graph (Acyclic MFVS). We show that these problems are strongly related to (variants of) Monotone 3-SAT and Monotone NAE 3-SAT, where monotone means that all literals are in positive form. As a consequence, we deduce several NP-completeness results on restricted versions of these problems. In particular, we define the 2-Choice version of an optimization problem to be its restriction where the optimum value is known to be either D or D+1 for some integer D, and the problem is reduced to decide which of D or D+1 is the optimum value. We show that…
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Taxonomy
TopicsAdvanced Graph Theory Research · Formal Methods in Verification · Optimization and Search Problems
