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Supercritical Size-Width Tree-Like Resolution Trade-Offs for Graph Isomorphism
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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 $k$ for two graphs if and only if they can be distinguished in ($k+1$)-variable first-order logic (FO$^{k+1}$) and hence by a count-free variant of the $k$-dimensional Weisfeiler-Leman algorithm. While DAG-like narrow width $k$ resolution refutations have size at most $n^k$, tree-like refutations may be much larger. We show that there are graphs of order n, whose isomorphism can be refuted in narrow width $k$ but only in tree-like size $2^{\Omega(n^{k/2})}$. 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 $k$-pebble EF-game for FO$^k$ 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 Using a recent improved robust compressed CFI construction of Janett, Nordstr\"om, and Pang (unpublished manuscript), we obtain a similar bound for width $k$ (instead of the stronger but less common narrow width) and make the result more robust.
Forward citations
Cited by 2 Pith papers
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Truly Supercritical Trade-offs for Resolution, Cutting Planes, Monotone Circuits, and Weisfeiler-Leman
First truly supercritical size-depth trade-offs for resolution and cutting planes, supercritical monotone circuit depth, and Weisfeiler-Leman dimension-iteration trade-offs.
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Supercritical Tradeoffs for Monotone Circuits
A new family of 3-CNF bracket formulas yields the first supercritical size-depth tradeoff for monotone circuits.
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