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arXiv:2611.16966 · v1

A PTAS for Constraint Satisfaction Problems on Interval Graphs and Bounded Rank-Width Graphs

首次提交 2026-11-12 23:36
版本更新 2026-11-12 23:36
雷达观测 2026-11-13 14:15
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摘要

We present a polynomial-time approximation scheme (PTAS) for all Boolean arity-two maximum constraint satisfaction problems (Boolean Max-2-CSP) where the constraint graph is either interval or has bounded rank-width. This class of problems includes, for example, Max-Cut, Max-DiCut, Max-2-Lin(2), and Max-2-SAT. In particular, this settles the approximability of Max-Cut on interval graphs. To achieve these results, we show the following. 1. For any ε>0\varepsilon > 0, there is an nO(rε−2)n^{\mathcal O(r \varepsilon^{-2})}-time (1−ε(1 - \varepsilon)-approximation for Boolean Max-2-CSP on graphs of rank-width at most rr. 2. There is a polynomial-time algorithm that, for any interval graph G=(V,E)G = (V, E) and ε>0\varepsilon > 0, finds a subgraph H=(V,F)H = (V, F) of GG such that ∣F∣≥(1−ε)∣E∣|F| \geq (1 - \varepsilon) |E| and HH has rank-width at most poly⁡(ε−1)\operatorname{poly}(\varepsilon^{-1}). Our techniques additionally extend to all bounded-alphabet arity-two max CSPs.

作者备注:18 pages

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v1 · 2026-11-12 23:36 · 最新观测版本

A PTAS for Constraint Satisfaction Problems on Interval Graphs and Bounded Rank-Width Graphs

We present a polynomial-time approximation scheme (PTAS) for all Boolean arity-two maximum constraint satisfaction problems (Boolean Max-2-CSP) where the constraint graph is either interval or has bounded rank-width. This class of problems includes, for example, Max-Cut, Max-DiCut, Max-2-Lin(2), and Max-2-SAT. In particular, this settles the approximability of Max-Cut on interval graphs. To achieve these results, we show the following. 1. For any ε>0\varepsilon > 0, there is an nO(rε−2)n^{\mathcal O(r \varepsilon^{-2})}-time (1−ε(1 - \varepsilon)-approximation for Boolean Max-2-CSP on graphs of rank-width at most rr. 2. There is a polynomial-time algorithm that, for any interval graph G=(V,E)G = (V, E) and ε>0\varepsilon > 0, finds a subgraph H=(V,F)H = (V, F) of GG such that ∣F∣≥(1−ε)∣E∣|F| \geq (1 - \varepsilon) |E| and HH has rank-width at most poly⁡(ε−1)\operatorname{poly}(\varepsilon^{-1}). Our techniques additionally extend to all bounded-alphabet arity-two max CSPs.

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