Minimum Consistent Subset in Interval Graphs and Circle Graphs
Bubai Manna
TL;DR
This paper investigates the Minimum Consistent Subset (MCS) problem on vertex-colored graphs, focusing on interval and circle graph classes. It introduces a leaf-bar-cover framework and a dynamic-programming approach to obtain a $O(n^9)$-time $(4α+2)$-approximation for MCS on interval graphs, constructing a near-optimal CS (ACS) from leaf-bar components. It also proves that MCS on circle graphs is APX-hard via a gap-preserving reduction from the dominating set problem on circle graphs. Collectively, these results delineate a concrete approximation bound for interval graphs while establishing hardness for circle graphs, guiding future exploration of PTAS and fixed-parameter tractable approaches. The methodology hinges on leaf bars, useful covers $Z_s$, and the ACS assembly, providing a constructive route from interval-graph structure to a provably close-to-optimal solution.
Abstract
In a connected simple graph G = (V,E), each vertex of V is colored by a color from the set of colors C={c1, c2,..., c_α}$. We take a subset S of V, such that for every vertex v in V§, at least one vertex of the same color is present in its set of nearest neighbors in S. We refer to such a S as a consistent subset. The Minimum Consistent Subset (MCS) problem is the computation of a consistent subset of the minimum size. It is established that MCS is NP-complete for general graphs, including planar graphs. We expand our study to interval graphs and circle graphs in an attempt to gain a complete understanding of the computational complexity of the \mcs problem across various graph classes. This work introduces an (4α+ 2)- approximation algorithm for MCS in interval graphs where αis the number of colors in the interval graphs. Later, we show that in circle graphs, MCS is APX-hard.
