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Time-space lower bounds for satisfiability and related problems on randomized machines.

机译:随机机器上可满足性和相关问题的时空下限。

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摘要

Computational complexity studies the resources required for computers to solve certain problems; deciding satisfiability of Boolean formulas is one of the most fundamental such problems. This thesis proves lower bounds on the time and memory space required to solve satisfiability and related problems on randomized machines.;We establish the first randomized time-space lower bounds for the problem Sigma ℓSAT of deciding the validity of quantified Boolean formulas with at most ℓ-1 quantifier alternations. We show that for any integer ℓ ≥ 2 and constant c ℓ, there exists a positive constant d such that SigmaℓSAT cannot be computed by randomized machines with two-sided error in time nc and space nd. This result also applies to other natural complete problems in the polynomial-time hierarchy, such as maximizing the number of literals that can be removed from a disjunctive normal form formula without changing its meaning.;As for ℓ = 1, we argue that similar results for satisfiability or tautologies would follow from a simulation that swaps Arthur and Merlin in two-round Merlin-Arthur games at subquadratic cost. We prove that the latter requires non-black-box techniques: any Arthur-Merlin game requires time O( t2) to black-box simulate Merlin-Arthur games running in time t. This proves that known simulations of the latter class by the former with quadratic overhead are tight within the black-box setting.;In the case of the tautologies problem, we obtain nontrivial time-space lower bounds for randomized machines with one-sided error , i.e., randomized machines that can only err on tautological formulas. In fact, we prove new results for nondeterministic machines solving tautologies, which relates to proof complexity and the NP versus coNP problem: for every c 34 ≈ 1.587 there exists a positive d such that tautologies cannot be decided by nondeterministic machines in time nc and space nd.;We can do better in the one-sided error setting: we prove that for every constant c 2 cos(pi/7) ≈ 1.801, there exists a positive constant d such that tautologies cannot be decided by randomized machines with one-sided error in time nc and space nd.
机译:计算复杂性研究计算机解决某些问题所需的资源;确定布尔公式的可满足性是此类问题中最基本的问题之一。本文证明了解决随机机器上的可满足性及相关问题所需的时间和存储空间的下界。;我们建立了第一个针对Sigma&ell; SAT问题的随机时空下界,该问题用at来确定量化布尔公式的有效性。大多数&ell; -1量词替换。我们证明对于任何整数&ell; ≥2并且常数c <&ell ;,存在一个正常数d,使得Sigma&SAT; SAT不能由时间为nc且空间为nd的两侧误差的随机机器来计算。此结果还适用于多项式时间层次结构中的其他自然完全问题,例如在不改变其含义的情况下最大化可从析取范式公式中删除的文字数。 = 1时,我们认为,通过以亚二次成本在两轮Merlin-Arthur游戏中交换Arthur和Merlin的模拟,也会得出相似的可满足性或重言式结果。我们证明了后者需要非黑盒技术:任何Arthur-Merlin游戏都需要时间O(t2)来黑盒模拟在时间t内运行的Merlin-Arthur游戏。这证明了前者具有二次开销的已知的后一类模拟在黑盒设置中是紧密的。;在重言式问题的情况下,对于具有单侧误差的随机机器,我们获得了非平凡的时空下界,即,只能根据重言式使用的随机机器。实际上,我们证明了不确定性机器解决重言式的新结果,这涉及证明复杂性以及NP与coNP问题:对于每个c <34&ap; 1.587存在一个正数d,使得重不确定性不能由时间不确定的机器nc和空间nd决定;我们可以在单边错误设置中做得更好:我们证明对于每个常数c <2 cos(pi / 7) &ap;在1.801,存在一个正常数d,使得重言式不能由时间为nc且间隔为nd的一侧误差的随机机器确定。

著录项

  • 作者

    Diehl, Scott.;

  • 作者单位

    The University of Wisconsin - Madison.;

  • 授予单位 The University of Wisconsin - Madison.;
  • 学科 Computer Science.
  • 学位 Ph.D.
  • 年度 2008
  • 页码 108 p.
  • 总页数 108
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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