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Pseudorandom Generators in Propositional Proof Complexity

Published: 01 January 2005 Publication History

Abstract

We call a pseudorandom generator $G_n:\{0,1\}^n\to \{0,1\}^m$ hard for a propositional proof system P if P cannot efficiently prove the (properly encoded) statement $G_n(x_1,\ldots,x_n)\neq b$ for any string $b\in\{0,1\}^m$. We consider a variety of "combinatorial" pseudorandom generators inspired by the Nisan--Wigderson generator on the one hand, and by the construction of Tseitin tautologies on the other. We prove that under certain circumstances these generators are hard for such proof systems as resolution, polynomial calculus, and polynomial calculus with resolution (PCR).

Cited By

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  • (2024)Lower Bounds for Regular Resolution over ParitiesProceedings of the 56th Annual ACM Symposium on Theory of Computing10.1145/3618260.3649652(640-651)Online publication date: 10-Jun-2024
  • (2024)Random (log 𝑛)-CNF Are Hard for Cutting Planes (Again)Proceedings of the 56th Annual ACM Symposium on Theory of Computing10.1145/3618260.3649636(2008-2015)Online publication date: 10-Jun-2024
  • (2023)On the Algebraic Proof Complexity of Tensor IsomorphismProceedings of the conference on Proceedings of the 38th Computational Complexity Conference10.4230/LIPIcs.CCC.2023.4(1-40)Online publication date: 17-Jul-2023
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Francois Aribaud

This paper studies the complexity of the inconsistent statement for a system of Boolean functions (S): g1(x1,...,xn)=b1,....,gm(x1,...,xn)=bm from the point of view of the combinatorial structure of the supports of the gi. More precisely, a variable xi is inessential for the Boolean function f if f(x1,...,xi-1,0,xi+1,...,xn) = f(x1,...,xi-1,1,xi+1,...,xn), and it is essential in the opposite case. To the system (S), the authors associate the m × n matrix A with entries in 0,1, in which Aij=1 if xj is an essential variable of gi. To go to complexity, one has to encode (S) by a conjunctive normal form (CNF), which is unsatisfiable only if S is inconsistent; the authors describe three such encodings of "reasonable" complexities. The clause is refutable if one can get the empty clause by a chain of resolutions: (a __?__ x), (b __?__ ) maps to (a __?__ b), and one knows some estimates of the size of such a refutation (that is, the number of clauses within it) from the width (the number of literals) of its clauses. Then, the core of the paper (paragraph 3) is the proof of estimates of this width in terms of some technical characteristics of the matrix A, its (r,s,c) expansion coefficients, generalizing the edge expansion properties of ordinary graphs. Then, for suitable matrices A, the proof of inconsistence of all related systems (S) is hard. The paper is a mathematical one that is rigorously written, and thus difficult for the uninformed reader. However, such a reader will appreciate the various and numerous commentaries on the matter, and may learn more on the subject by reading the works in the bibliography. Online Computing Reviews Service

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Published In

cover image SIAM Journal on Computing
SIAM Journal on Computing  Volume 34, Issue 1
2005
259 pages

Publisher

Society for Industrial and Applied Mathematics

United States

Publication History

Published: 01 January 2005

Author Tags

  1. generator
  2. polynomial calculus
  3. propositional proof complexity
  4. resolution

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Cited By

View all
  • (2024)Lower Bounds for Regular Resolution over ParitiesProceedings of the 56th Annual ACM Symposium on Theory of Computing10.1145/3618260.3649652(640-651)Online publication date: 10-Jun-2024
  • (2024)Random (log 𝑛)-CNF Are Hard for Cutting Planes (Again)Proceedings of the 56th Annual ACM Symposium on Theory of Computing10.1145/3618260.3649636(2008-2015)Online publication date: 10-Jun-2024
  • (2023)On the Algebraic Proof Complexity of Tensor IsomorphismProceedings of the conference on Proceedings of the 38th Computational Complexity Conference10.4230/LIPIcs.CCC.2023.4(1-40)Online publication date: 17-Jul-2023
  • (2023)Sum-of-Squares Lower Bounds for the Minimum Circuit Size ProblemProceedings of the conference on Proceedings of the 38th Computational Complexity Conference10.4230/LIPIcs.CCC.2023.31(1-21)Online publication date: 17-Jul-2023
  • (2022)Nisan-Wigderson generators in proof complexityProceedings of the 37th Computational Complexity Conference10.4230/LIPIcs.CCC.2022.17(1-15)Online publication date: 20-Jul-2022
  • (2022)Pseudorandom generators, resolution and heavy widthProceedings of the 37th Computational Complexity Conference10.4230/LIPIcs.CCC.2022.15(1-22)Online publication date: 20-Jul-2022
  • (2021)Branching programs with bounded repetitions and flow formulasProceedings of the 36th Computational Complexity Conference10.4230/LIPIcs.CCC.2021.17Online publication date: 20-Jul-2021
  • (2021)Iterated lower bound formulas: a diagonalization-based approach to proof complexityProceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing10.1145/3406325.3451010(234-247)Online publication date: 15-Jun-2021
  • (2020)Exponential resolution lower bounds for weak pigeonhole principle and perfect matching formulas over sparse graphsProceedings of the 35th Computational Complexity Conference10.4230/LIPIcs.CCC.2020.28(1-24)Online publication date: 28-Jul-2020
  • (2020)(Semi)Algebraic proofs over {±1} variablesProceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing10.1145/3357713.3384288(78-90)Online publication date: 22-Jun-2020
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