On extracting computations from propositional proofs (a survey)

This paper describes a project that aims at showing that propositional proofs of certain tautologies in weak proof system give upper bounds on the computational complexity of functions associated with the tautologies. Such bounds can potentially be used to prove (conditional or unconditional) lower bounds on the lengths of proofs of these tautologies and show separations of some weak proof systems. The prototype are the results showing the feasible interpolation property for resolution. In order to prove similar results for systems stronger than resolution one needs to define suitable generalizations of boolean circuits. We will survey the known results concerning this project and sketch in which direction we want to generalize them.

[1]  Jan Krajícek,et al.  Some Consequences of Cryptographical Conjectures for S12 and EF , 1998, Inf. Comput..

[2]  Jan Krajícek,et al.  Lower bounds to the size of constant-depth propositional proofs , 1994, Journal of Symbolic Logic.

[3]  S. Cook,et al.  Logical Foundations of Proof Complexity: PEANO ARITHMETIC AND ITS SUBSYSTEMS , 2010 .

[4]  Jan Krajícek A form of feasible interpolation for constant depth Frege systems , 2010, J. Symb. Log..

[5]  Pavel Pudlák,et al.  Lower bounds for resolution and cutting plane proofs and monotone computations , 1997, Journal of Symbolic Logic.

[6]  A. Razborov Unprovability of lower bounds on circuit size in certain fragments of bounded arithmetic , 1995 .

[7]  Avi Wigderson,et al.  Monotone Circuits for Connectivity Require Super-Logarithmic Depth , 1990, SIAM J. Discret. Math..

[8]  Arnold Beckmann Characterising definable search problems in bounded arithmetic via proof notations , 2010 .

[9]  Jan Krajícek,et al.  Tautologies from Pseudo-Random Generators , 2001, Bulletin of Symbolic Logic.

[10]  Jan Krajícek,et al.  Forcing with Random Variables and Proof Complexity , 2006, London Mathematical Society lecture note series.

[11]  Armin Haken,et al.  The Intractability of Resolution , 1985, Theor. Comput. Sci..

[12]  S. Cook,et al.  Logical Foundations of Proof Complexity: INDEX , 2010 .

[13]  Toniann Pitassi,et al.  Non-Automatizability of Bounded-Depth Frege Proofs , 2004, computational complexity.

[14]  Pavel Pudlák,et al.  Alternating minima and maxima, Nash equilibria and Bounded Arithmetic , 2012, Ann. Pure Appl. Log..

[15]  Jan Kra,et al.  Lower Bounds to the Size of Constant-depth Propositional Proofs , 1994 .

[16]  Jan Krajícek,et al.  Interpolation theorems, lower bounds for proof systems, and independence results for bounded arithmetic , 1997, Journal of Symbolic Logic.

[17]  Ran Raz,et al.  On Interpolation and Automatization for Frege Systems , 2000, SIAM J. Comput..

[18]  Jan Krajícek,et al.  NP search problems in low fragments of bounded arithmetic , 2007, J. Symb. Log..

[19]  Miklós Ajtai,et al.  The complexity of the Pigeonhole Principle , 1988, [Proceedings 1988] 29th Annual Symposium on Foundations of Computer Science.