English

Cuts and Gauges for Submodular Width

Data Structures and Algorithms 2026-04-27 v1 Databases Discrete Mathematics

Abstract

Submodular width is a central structural measure governing the complexity of conjunctive query evaluation. In this paper we recast submodular width in geometric terms. We how that submodular width can be approximated, up to a factor 3/23/2, by a new branchwidth parameter defined in terms of edge separations in the hypergraph and the costs induced on them by admissible submodular functions. This reformulation turns lower bounds on submodular width into the problem of constructing well-balanced edge separations whose induced cost remains small. We then express this connection through a variational characterisation in terms of a convex body. Using these tools, we relate submodular width to more familiar graph-theoretic notions, including line-graph treewidth and multicommodity flow, and obtain general conditions under which submodular width is tightly linked to generalised hypertree width. In particular, under various natural conditions we show that subw(H)Ω(ghw(H)logghw(H)). subw(H) \in \Omega \left(\frac{ghw(H)}{\log ghw(H)} \right).

Keywords

Cite

@article{arxiv.2604.22663,
  title  = {Cuts and Gauges for Submodular Width},
  author = {Matthias Lanzinger},
  journal= {arXiv preprint arXiv:2604.22663},
  year   = {2026}
}
R2 v1 2026-07-01T12:34:00.196Z