Abstract
We study possible formulations of algebraic propositional proofs operating with noncommutative polynomials written as algebraic noncommutative formulas. First, we observe that a simple formulation of such proof systems gives rise to systems at least as strong as Frege—yielding also a semantic way to define a Cook-Reckhow (i.e., polynomially verifiable) algebraic variant of Frege proofs, different from that given before in [8,11]. We then turn to an apparently weaker system, namely, Polynomial Calculus (PC) where polynomials are written as ordered formulas (PC over ordered formulas, for short). This is an algebraic propositional proof system that operates with noncommutative polynomials in which the order of products in all monomials respects a fixed linear ordering on the variables, and where proof-lines are written as noncommutative formulas. We show that the latter proof system is strictly stronger than resolution, polynomial calculus and polynomial calculus with resolution (PCR) and admits polynomial-size refutations for the pigeonhole principle and the Tseitin’s formulas. We conclude by proposing an approach for establishing lower bounds on PC over ordered formulas proofs, and related systems, based on properties of lower bounds on noncommutative formulas.
The motivation behind this work is developing techniques incorporating rank arguments (similar to those used in algebraic circuit complexity) for establishing lower bounds on propositional proofs.
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References
Ajtai, M.: The complexity of the pigeonhole principle. In: Proceedings of the IEEE 29th Ann. Symp. on Found. of Comp. Sci, pp. 346–355 (1988)
Alekhnovich, M., Ben-Sasson, E., Razborov, A.A., Wigderson, A.: Space complexity in propositional calculus. SIAM J. Comput. 31(4), 1184–1211 (2002)
Alekhnovich, M., Ben-Sasson, E., Razborov, A.A., Wigderson, A.: Pseudorandom generators in propositional proof complexity. SIAM J. Comput. 34(1), 67–88 (2004)
Atserias, A., Galesi, N., Pudlák, P.: Monotone simulations of non-monotone proofs. J. Comput. System Sci. 65(4), 626–638 (2002)
Atserias, A., Kolaitis, P.G., Vardi, M.Y.: Constraint propagation as a proof system. In: Wallace, M. (ed.) CP 2004. LNCS, vol. 3258, pp. 77–91. Springer, Heidelberg (2004)
Ben-Sasson, E., Impagliazzo, R.: Random CNF’s are hard for the polynomial calculus. In: Proceedings of the IEEE 40th Annual Symposium on Foundations of Computer Science, New York, pp. 415–421. IEEE, Los Alamitos (1999)
Buss, S.R., Grigoriev, D., Impagliazzo, R., Pitassi, T.: Linear gaps between degrees for the polynomial calculus modulo distinct primes. J. Comput. System Sci. 62(2), 267–289 (2001)
Buss, S.R., Impagliazzo, R., Krajíček, J., Pudlák, P., Razborov, A.A., Sgall, J.: Proof complexity in algebraic systems and bounded depth Frege systems with modular counting. Comput. Complex. 6(3), 256–298 (1996/1997)
Clegg, M., Edmonds, J., Impagliazzo, R.: Using the Groebner basis algorithm to find proofs of unsatisfiability. In: Proceedings of the 28th Ann. ACM Symp. on the Theory of Comput, pp. 174–183 (1996)
Cook, S.A., Reckhow, R.A.: The relative efficiency of propositional proof systems. The Journal of Symbolic Logic 44(1), 36–50 (1979)
Grigoriev, D., Hirsch, E.A.: Algebraic proof systems over formulas. Theoret. Comput. Sci. 303(1), 83–102 (2003)
Krajíček, J.: An exponential lower bound for a constraint propagation proof system based on ordered binary decision diagrams. J. Symbolic Logic 73(1), 227–237 (2008)
Krajíček, J., Pudlák, P., Woods, A.: An exponential lower bound to the size of bounded depth Frege proofs of the pigeonhole principle. Random Structures Algorithms 7(1), 15–39 (1995)
Nisan, N.: Lower bounds for non-commutative computation. In: Proceedings of the 23th Annual ACM Symposium on the Theory of Computing, pp. 410–418 (1991)
Pitassi, T.: Algebraic propositional proof systems. In: Descriptive complexity and finite models. DIMACS Ser. Discrete Math. Theoret. Comput. Sci, vol. 31, pp. 215–244. AMS, Providence (1997)
Pitassi, T., Beame, P., Impagliazzo, R.: Exponential lower bounds for the pigeonhole principle. Comput. Complexity 3(2), 97–140 (1993)
Pudlák, P.: On the complexity of the propositional calculus. In: Sets and proofs. London Math. Soc. Lecture Note Ser., vol. 258, pp. 197–218. Cambridge Univ. Press, Cambridge (Leeds 1997)
Raz, R.: Separation of multilinear circuit and formula size. Theory of Computing 2, article 6 (2006)
Raz, R.: Multi-linear formulas for permanent and determinant are of super-polynomial size. J. ACM 56(2) (2009)
Raz, R., Shpilka, A.: Deterministic polynomial identity testing in non commutative models. Computational Complexity 14(1), 1–19 (2005)
Raz, R., Tzameret, I.: Resolution over linear equations and multilinear proofs. Ann. Pure Appl. Logic 155(3), 194–224 (2008)
Raz, R., Tzameret, I.: The strength of multilinear proofs. Computational Complexity 17(3), 407–457 (2008)
Segerlind, N.: Nearly-exponential size lower bounds for symbolic quantifier elimination algorithms and OBDD-based proofs of unsatisfiability. Electronic Colloquium on Computational Complexity, TR07-009 (January 2007)
Tzameret, I.: Studies in Algebraic and Propsitional Proof Complexity. PhD thesis, Tel Aviv University (2008)
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Tzameret, I. (2010). Algebraic Proofs over Noncommutative Formulas. In: Kratochvíl, J., Li, A., Fiala, J., Kolman, P. (eds) Theory and Applications of Models of Computation. TAMC 2010. Lecture Notes in Computer Science, vol 6108. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13562-0_7
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