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Beyond recognizing well-covered graphs

Carl Feghali, Malory Marin, Rémi Watrigant

TL;DR

We study the computational complexity of recognizing well-covered graphs and two hierarchies, $W_k$ and $E_s$, in general graphs. We extend the known coNP-completeness results by proving that recognizing $W_{k+1}$ graphs is coNP-complete even when the input is restricted to $W_k$- or $E_s$-graphs for every fixed $k\ge 2$, answering a question of Levit and Tankus and strengthening Feghali and Marin. We also establish that recognizing $E_{s+1}$ graphs is $\Theta_2^p$-complete (that is, solvable in polynomial time with $O(\log n)$ SAT calls) even when the input is in $E_s$, extending Bergé et al.'s results. Additionally, we provide a complete complexity characterization for chordal graphs in the $W_k$ and $E_s$ hierarchies, including a linear-time test for $1$-extendable chordal graphs, and we discuss open questions and future directions.

Abstract

We prove a number of results related to the computational complexity of recognizing well-covered graphs. Let $k$ and $s$ be positive integers and let $G$ be a graph. Then $G$ is said - $\mathbf{W_k}$ if for any $k$ pairwise disjoint independent vertex sets $A_1, \dots, A_k$ in $G$, there exist $k$ pairwise disjoint maximum independent sets $S_1, \dots,S_k$ in $G$ such that $A_i \subseteq S_i$ for $i \in [k]$. - $\mathbf{E_s}$ if every independent set in $G$ of size at most $s$ is contained in a maximum independent set in $G$. Chvátal and Slater (1993) and Sankaranarayana and Stewart (1992) famously showed that recognizing $\mathbf{W_1}$ graphs or, equivalently, well-covered graphs is coNP-complete. We extend this result by showing that recognizing $\mathbf{W_{k+1}}$ graphs in either $\mathbf{W_k}$ or $\mathbf{E_s}$ graphs is coNP-complete. This answers a question of Levit and Tankus (2023) and strengthens a theorem of Feghali and Marin (2024). We also show that recognizing $\mathbf{E_{s+1}}$ graphs is $Θ_2^p$-complete even in $\mathbf{E_s}$ graphs, where $Θ_2^p = \text{P}^{\text{NP}[\log]}$ is the class of problems solvable in polynomial time using a logarithmic number of calls to a SAT oracle. This strengthens a theorem of Bergé, Busson, Feghali and Watrigant (2023). We also obtain the complete picture of the complexity of recognizing chordal $\mathbf{W_k}$ and $\mathbf{E_s}$ graphs which, in particular, simplifies and generalizes a result of Dettlaff, Henning and Topp (2023).

Beyond recognizing well-covered graphs

TL;DR

We study the computational complexity of recognizing well-covered graphs and two hierarchies, and , in general graphs. We extend the known coNP-completeness results by proving that recognizing graphs is coNP-complete even when the input is restricted to - or -graphs for every fixed , answering a question of Levit and Tankus and strengthening Feghali and Marin. We also establish that recognizing graphs is -complete (that is, solvable in polynomial time with SAT calls) even when the input is in , extending Bergé et al.'s results. Additionally, we provide a complete complexity characterization for chordal graphs in the and hierarchies, including a linear-time test for -extendable chordal graphs, and we discuss open questions and future directions.

Abstract

We prove a number of results related to the computational complexity of recognizing well-covered graphs. Let and be positive integers and let be a graph. Then is said - if for any pairwise disjoint independent vertex sets in , there exist pairwise disjoint maximum independent sets in such that for . - if every independent set in of size at most is contained in a maximum independent set in . Chvátal and Slater (1993) and Sankaranarayana and Stewart (1992) famously showed that recognizing graphs or, equivalently, well-covered graphs is coNP-complete. We extend this result by showing that recognizing graphs in either or graphs is coNP-complete. This answers a question of Levit and Tankus (2023) and strengthens a theorem of Feghali and Marin (2024). We also show that recognizing graphs is -complete even in graphs, where is the class of problems solvable in polynomial time using a logarithmic number of calls to a SAT oracle. This strengthens a theorem of Bergé, Busson, Feghali and Watrigant (2023). We also obtain the complete picture of the complexity of recognizing chordal and graphs which, in particular, simplifies and generalizes a result of Dettlaff, Henning and Topp (2023).
Paper Structure (1 section)

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Table of Contents

  1. Introduction