A New Kind of Tradeoffs in Propositional Proof Complexity

Author:

Razborov Alexander1

Affiliation:

1. University of Chicago, Departments of Mathematics and Computer Science, Chicago IL, USA

Abstract

We exhibit an unusually strong tradeoff in propositional proof complexity that significantly deviates from the established pattern of almost all results of this kind. Namely, restrictions on one resource (width, in our case) imply an increase in another resource (tree-like size) that is exponential not only with respect to the complexity of the original problem, but also to the whole class of all problems of the same bit size. More specifically, we show that for any parameter k = k ( n ), there are unsatisfiable k -CNFs that possess refutations of width O ( k ), but such that any tree-like refutation of width n 1 − ϵ / k must necessarily have doubly exponential size exp ( n Ω( k ) ). This means that there exist contradictions that allow narrow refutations, but in order to keep the size of such a refutation even within a single exponent, it must necessarily use a high degree of parallelism. Our construction and proof methods combine, in a non-trivial way, two previously known techniques: the hardness escalation method based on substitution formulas and expansion. This combination results in a hardness compression approach that strives to preserve hardness of a contradiction while significantly decreasing the number of its variables.

Funder

Russian Science Foundation

Publisher

Association for Computing Machinery (ACM)

Subject

Artificial Intelligence,Hardware and Architecture,Information Systems,Control and Systems Engineering,Software

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1. Hardness Condensation by Restriction;Proceedings of the 56th Annual ACM Symposium on Theory of Computing;2024-06-10

2. Compressing CFI Graphs and Lower Bounds for the Weisfeiler-Leman Refinements;2023 IEEE 64th Annual Symposium on Foundations of Computer Science (FOCS);2023-11-06

3. Space characterizations of complexity measures and size-space trade-offs in propositional proof systems;Journal of Computer and System Sciences;2023-11

4. Near-Optimal Lower Bounds on Quantifier Depth and Weisfeiler–Leman Refinement Steps;Journal of the ACM;2023-07-20

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