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Maximum Cut on Interval Graphs of Interval Count Two is NP-complete

Alexey Barsukov, Bodhayan Roy

TL;DR

This work settles the complexity of Maximum Cut on interval graphs with interval count $2$ by a polynomial reduction from Maximum Cut on cubic graphs. The authors craft a gadget-based reduction using 3-blocks, vertex/edge/join/switch gadgets, and a Zone/Buffer arrangement to enforce a correspondence between maximum cuts in the source and target graphs while keeping the interval count at $2$. Key contributions include detailed gadget stability lemmas and a complete reduction that preserves cut structures, advancing the quest toward unit interval graphs. The results open avenues for further exploration of Maximum Cut in restricted interval-length settings and for fixed-length sets $C$, with potential implications for understanding the boundary between tractable and intractable cases in geometric graph classes.

Abstract

An interval graph has interval count $\ell$ if it has an interval model, where among every $\ell+1$ intervals there are two that have the same length. Maximum Cut on interval graphs has been found to be NP-complete recently by Adhikary et al. while deciding its complexity on unit interval graphs (graphs with interval count one) remains a longstanding open problem. More recently, de Figueiredo et al. have made an advancement by showing that the problem remains NP-complete on interval graphs of interval count four. In this paper, we show that Maximum Cut is NP-complete even on interval graphs of interval count two.

Maximum Cut on Interval Graphs of Interval Count Two is NP-complete

TL;DR

This work settles the complexity of Maximum Cut on interval graphs with interval count by a polynomial reduction from Maximum Cut on cubic graphs. The authors craft a gadget-based reduction using 3-blocks, vertex/edge/join/switch gadgets, and a Zone/Buffer arrangement to enforce a correspondence between maximum cuts in the source and target graphs while keeping the interval count at . Key contributions include detailed gadget stability lemmas and a complete reduction that preserves cut structures, advancing the quest toward unit interval graphs. The results open avenues for further exploration of Maximum Cut in restricted interval-length settings and for fixed-length sets , with potential implications for understanding the boundary between tractable and intractable cases in geometric graph classes.

Abstract

An interval graph has interval count if it has an interval model, where among every intervals there are two that have the same length. Maximum Cut on interval graphs has been found to be NP-complete recently by Adhikary et al. while deciding its complexity on unit interval graphs (graphs with interval count one) remains a longstanding open problem. More recently, de Figueiredo et al. have made an advancement by showing that the problem remains NP-complete on interval graphs of interval count four. In this paper, we show that Maximum Cut is NP-complete even on interval graphs of interval count two.
Paper Structure (8 sections, 7 theorems, 35 equations, 10 figures)

This paper contains 8 sections, 7 theorems, 35 equations, 10 figures.

Key Result

Theorem 1

$\textrm{Maximum Cut}$ on interval graphs of interval count two is NP-complete.

Figures (10)

  • Figure 1: A 3-block and five long intervals.
  • Figure 2: Link chains between consecutive vertex gadgets. Squares represent families of intervals with the same endpoints.
  • Figure 3: The composition of $H$.
  • Figure 4: A cubic graph $G$.
  • Figure 5: The graph $H$ of interval count two whose $\textrm{Maximum Cut}$ partitions correspond to $\textrm{Maximum Cut}$ partitions of the cubic graph $G$ from Figure \ref{['fig:cubic graph']}.
  • ...and 5 more figures

Theorems & Definitions (14)

  • Theorem 1
  • Example 2
  • Lemma 3
  • proof
  • Lemma 4
  • proof
  • Lemma 5
  • proof
  • Lemma 6
  • proof
  • ...and 4 more