English

Supercritical Size-Width Tree-Like Resolution Trade-Offs for Graph Isomorphism

Logic in Computer Science 2025-07-11 v2 Computational Complexity

Abstract

We study the refutation complexity of graph isomorphism in the tree-like resolution calculus. Tor\'an and W\"orz (TOCL 2023) showed that there is a resolution refutation of narrow width kk for two graphs if and only if they can be distinguished in (k+1k+1)-variable first-order logic (FOk+1^{k+1}) and hence by a count-free variant of the kk-dimensional Weisfeiler-Leman algorithm. While DAG-like narrow width kk resolution refutations have size at most nkn^k, tree-like refutations may be much larger. We show that there are graphs of order n, whose isomorphism can be refuted in narrow width kk but only in tree-like size 2Ω(nk/2)2^{\Omega(n^{k/2})}. This is a supercritical trade-off where bounding one parameter (the narrow width) causes the other parameter (the size) to grow above its worst case. The size lower bound is super-exponential in the formula size and improves a related supercritical width versus tree-like size trade-off by Razborov (JACM 2016). To prove our result, we develop a new variant of the kk-pebble EF-game for FOk^k to reason about tree-like refutation size in a similar way as the Prover-Delayer games in proof complexity. We analyze this game on a modified variant of the compressed CFI graphs introduced by Grohe, Lichter, Neuen, and Schweitzer (FOCS 2023). Using a recent improved robust compressed CFI construction of Janett, Nordstr\"om, and Pang (unpublished manuscript), we obtain a similar bound for width kk (instead of the stronger but less common narrow width) and make the result more robust.

Keywords

Cite

@article{arxiv.2407.17947,
  title  = {Supercritical Size-Width Tree-Like Resolution Trade-Offs for Graph Isomorphism},
  author = {Christoph Berkholz and Moritz Lichter and Harry Vinall-Smeeth},
  journal= {arXiv preprint arXiv:2407.17947},
  year   = {2025}
}

Comments

36 pages, 2 figures, full version of a paper accepted for publication at MFCS 2025

R2 v1 2026-06-28T17:53:23.061Z