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Introduction

Published online by Cambridge University Press:  05 November 2011

Jan Krajíček
Affiliation:
Charles University, Prague
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Summary

Propositional proof complexity studies the lengths of propositional proofs or equivalently the time complexity of non-deterministic algorithms accepting some coNP-complete set. The main problem is the NP versus coNP problem, a questionwhether the computational complexity class NP is closed under complementation. Central objects studied are propositional proof systems (non-deterministic algorithms accepting the set of propositional tautologies). Time lower bounds then correspond to lengths-of-proofs lower bounds.

Bounded arithmetic is a generic name for a collection of first-order and second-order theories of arithmetic linked to propositional proof systems (and to a variety of other computational complexity topics). The qualification bounded refers to the fact that the induction axiom is typically restricted to a subclass of bounded formulas.

The links between propositional proof systems and bounded arithmetic theories have many facets but informally one can view them as two sides of the same thing: the former is a non-uniform version of the latter. In particular, it is known that proving lengths-of-proofs lower bounds for propositional proof systems is very much related to proving independence results for bounded arithmetic theories. In fact, proving such lower bounds is equivalent to constructing non-elementary extensions of particular models of bounded arithmetic theories.

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Publisher: Cambridge University Press
Print publication year: 2010

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  • Introduction
  • Jan Krajíček, Charles University, Prague
  • Book: Forcing with Random Variables and Proof Complexity
  • Online publication: 05 November 2011
  • Chapter DOI: https://doi.org/10.1017/CBO9781139107211.002
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  • Introduction
  • Jan Krajíček, Charles University, Prague
  • Book: Forcing with Random Variables and Proof Complexity
  • Online publication: 05 November 2011
  • Chapter DOI: https://doi.org/10.1017/CBO9781139107211.002
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Introduction
  • Jan Krajíček, Charles University, Prague
  • Book: Forcing with Random Variables and Proof Complexity
  • Online publication: 05 November 2011
  • Chapter DOI: https://doi.org/10.1017/CBO9781139107211.002
Available formats
×