English

Approximating Maximum Cut on Interval Graphs and Split Graphs beyond Goemans-Williamson

Data Structures and Algorithms 2025-07-15 v1

Abstract

We present a polynomial-time (αGW+ε)(\alpha_{GW} + \varepsilon)-approximation algorithm for the Maximum Cut problem on interval graphs and split graphs, where αGW0.878\alpha_{GW} \approx 0.878 is the approximation guarantee of the Goemans-Williamson algorithm and ε>1034\varepsilon > 10^{-34} is a fixed constant. To attain this, we give an improved analysis of a slight modification of the Goemans-Williamson algorithm for graphs in which triangles can be packed into a constant fraction of their edges. We then pair this analysis with structural results showing that both interval graphs and split graphs either have such a triangle packing or have maximum cut close to their number of edges. We also show that, subject to the Small Set Expansion Hypothesis, there exists a constant c>0c > 0 such that there is no polyomial-time (1c)(1 - c)-approximation for Maximum Cut on split graphs.

Keywords

Cite

@article{arxiv.2507.10436,
  title  = {Approximating Maximum Cut on Interval Graphs and Split Graphs beyond Goemans-Williamson},
  author = {Jungho Ahn and Ian DeHaan and Eun Jung Kim and Euiwoong Lee},
  journal= {arXiv preprint arXiv:2507.10436},
  year   = {2025}
}

Comments

23 pages, 5 figures, to appear in the proceedings of APPROX 2025

R2 v1 2026-07-01T04:00:16.905Z