English

Parameterized Complexity of Equality MinCSP

Data Structures and Algorithms 2023-05-19 v1

Abstract

We study the parameterized complexity of MinCSP for so-called equality languages, i.e., for finite languages over an infinite domain such as N\mathbb{N}, where the relations are defined via first-order formulas whose only predicate is ==. This is an important class of languages that forms the starting point of all study of infinite-domain CSPs under the commonly used approach pioneered by Bodirsky, i.e., languages defined as reducts of finitely bounded homogeneous structures. Moreover, MinCSP over equality languages forms a natural class of optimisation problems in its own right, covering such problems as Edge Multicut, Steiner Multicut and (under singleton expansion) Edge Multiway Cut. We classify MinCSP(Γ)(\Gamma) for every finite equality language Γ\Gamma, under the natural parameter, as either FPT, W[1]-hard but admitting a constant-factor FPT-approximation, or not admitting a constant-factor FPT-approximation unless FPT=W[2]. In particular, we describe an FPT case that slightly generalises Multicut, and show a constant-factor FPT-approximation for Disjunctive Multicut, the generalisation of Multicut where the ``cut requests'' come as disjunctions over d=O(1)d = O(1) individual cut requests sitis_i \neq t_i. We also consider singleton expansions of equality languages, i.e., enriching an equality language with the capability for assignment constraints (x=i)(x=i) for either finitely or infinitely many constants iNi \in \mathbb{N}, and fully characterize the complexity of the resulting MinCSP.

Keywords

Cite

@article{arxiv.2305.11131,
  title  = {Parameterized Complexity of Equality MinCSP},
  author = {George Osipov and Magnus Wahlström},
  journal= {arXiv preprint arXiv:2305.11131},
  year   = {2023}
}
R2 v1 2026-06-28T10:38:27.899Z