English

A Dichotomy for Maximum PCSPs on Graphs

Data Structures and Algorithms 2026-03-03 v4 Computational Complexity Discrete Mathematics

Abstract

Fix two non-empty loopless graphs GG and HH such that GG maps homomorphically to HH. The Maximum Promise Constraint Satisfaction Problem parameterised by GG and HH is the following computational problem, denoted by MaxPCSP(GG, HH): Given an input (multi)graph XX that admits a map to GG preserving a ρ\rho-fraction of the edges, find a map from XX to HH that preserves a ρ\rho-fraction of the edges. As our main result, we give a complete classification of this problem under Khot's Unique Games Conjecture: The only tractable cases are when GG is bipartite and HH contains a triangle. Along the way, we establish several results, including an efficient approximation algorithm for the following problem: Given a (multi)graph XX which contains a bipartite subgraph with ρ\rho edges, what is the largest triangle-free subgraph of XX that can be found efficiently? We present an SDP-based algorithm that finds one with at least 0.8823ρ0.8823 \rho edges, thus improving on the subgraph with 0.878ρ0.878 \rho edges obtained by the classic Max-Cut algorithm of Goemans and Williamson.

Keywords

Cite

@article{arxiv.2406.20069,
  title  = {A Dichotomy for Maximum PCSPs on Graphs},
  author = {Tamio-Vesa Nakajima and Stanislav Živný},
  journal= {arXiv preprint arXiv:2406.20069},
  year   = {2026}
}

Comments

A new title and more results (a dichotomy for graphs)

R2 v1 2026-06-28T17:22:52.373Z