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Computing the clique number of tournaments

Guillaume Aubian

TL;DR

The paper defines the tournament clique-number parameter $\\overrightarrow{\\omega}(T)$ as the minimum, over all vertex orderings, of the clique number of the backedge graph $T^{\\prec}$, and proves that for any $k \ge 3$, deciding whether $\\overrightarrow{\\omega}(T) \le k$ is NP-complete. It introduces gadget constructions and a lifting technique (via a $T_k$-based framework and $\\Delta$ compositions) to encode a $3$-SAT instance, establishing NP-hardness, and thereby NP-completeness, of computing the clique number of tournaments. A key methodological contribution is a tool that preserves the clique-number while enabling systematic control of subgraph occurrences, facilitating the gadget-based reduction. The paper also provides a counterexample to a Gyárfás–Sumner-type conjecture in the directed setting by constructing a forest backedge graph tournament that is not contained in any $D_k$, despite having $\\overrightarrow{\\omega}=2$ and unbounded dichromatic complexity, highlighting limits of χ-boundedness analogues for tournaments. Together, these results settle the NP-completeness of the fixed-$k$ problem, sharpen the understanding of tournament cliques, and identify new directions in directed analogues of classical graph-theoretic conjectures.

Abstract

The clique number of a tournament is the maximum clique number of a graph formed by keeping backwards arcs in an ordering of its vertices. We study the time complexity of computing the clique number of a tournament and prove that, for any integer $k \geq 3$, deciding whether a tournament has clique number at most $k$ is NP-complete. This answers an interrogation of Nguyen, Scott and Seymour. To do so, we make use of a construction which we then modify to provide a counterexample to a conjecture of Aboulker, Aubian, Charbit and Lopes.

Computing the clique number of tournaments

TL;DR

The paper defines the tournament clique-number parameter as the minimum, over all vertex orderings, of the clique number of the backedge graph , and proves that for any , deciding whether is NP-complete. It introduces gadget constructions and a lifting technique (via a -based framework and compositions) to encode a -SAT instance, establishing NP-hardness, and thereby NP-completeness, of computing the clique number of tournaments. A key methodological contribution is a tool that preserves the clique-number while enabling systematic control of subgraph occurrences, facilitating the gadget-based reduction. The paper also provides a counterexample to a Gyárfás–Sumner-type conjecture in the directed setting by constructing a forest backedge graph tournament that is not contained in any , despite having and unbounded dichromatic complexity, highlighting limits of χ-boundedness analogues for tournaments. Together, these results settle the NP-completeness of the fixed- problem, sharpen the understanding of tournament cliques, and identify new directions in directed analogues of classical graph-theoretic conjectures.

Abstract

The clique number of a tournament is the maximum clique number of a graph formed by keeping backwards arcs in an ordering of its vertices. We study the time complexity of computing the clique number of a tournament and prove that, for any integer , deciding whether a tournament has clique number at most is NP-complete. This answers an interrogation of Nguyen, Scott and Seymour. To do so, we make use of a construction which we then modify to provide a counterexample to a conjecture of Aboulker, Aubian, Charbit and Lopes.
Paper Structure (7 sections, 17 theorems, 11 figures)

This paper contains 7 sections, 17 theorems, 11 figures.

Key Result

theorem 1

Computing the clique number of tournaments is NP-complete.

Figures (11)

  • Figure 1: The backedge graph corresponding to the ordering $1 \prec 2 \prec 3 \prec 4 \prec 5 \prec 6 \prec 7 \prec 8 \prec 9$
  • Figure 2: The backedge graph of $T$ corresponding to the ordering $6 \prec 8 \prec 2 \prec 9 \prec 1 \prec 3 \prec 4 \prec 5 \prec 7$
  • Figure 3: Python code to check that in every $\mathop{\mathrm{\overrightarrow{\omega}}}\nolimits$-ordering, exactly one of $uv$ or $wx$ is forward
  • Figure 4: The backedge graph corresponding to the ordering $1 \prec 2 \prec 3 \prec 4 \prec 5 \prec 6 \prec 7 \prec 8$
  • Figure 5: The backedge graph of $T$ corresponding to the ordering $4 \prec 7 \prec 5 \prec 8 \prec 1 \prec 2 \prec 6 \prec 3$
  • ...and 6 more figures

Theorems & Definitions (35)

  • theorem 1
  • theorem 2
  • conjecture 3
  • conjecture 4: Gyárfás, 1975 & Sumner, 1981
  • conjecture 5
  • theorem 6
  • theorem 7
  • lemma 8
  • proof
  • definition 9
  • ...and 25 more