几何决策程序和VC维的线性算术理论

D. Chistikov, C. Haase, Alessio Mansutti
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引用次数: 3

摘要

本文解决了线性整数算法(也称为Presburger算法)中的两个开放问题。首先,我们给出了LIA的一个三指数几何决策过程,即一个基于半线性集的操作过程。这与最佳量词消除和基于自动机的程序的运行时间相匹配。其次,在我们的第一个结果的基础上,我们给出了在LIA中可定义集合的Vapnik-Chervonenkis (VC)维的双指数上界,证明了D. Nguyen和I. Pak [Combinatorica 39, pp. 923-932, 2019]的一个猜想。这些结果部分依赖于对线性实算法中可定义集合的分析,并得到了线性实算法的类似结果。这些发展的核心是半线性和-半线性集合的新分解结果,后者是在LRA中可定义的集合。这些结果产生了新的算法来计算(-)半线性集的补,这些补在与其他布尔运算和投影的过程重复组合时不会导致非初等爆炸。这种半线性集算法的存在性是一个长期存在的开放性问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Geometric decision procedures and the VC dimension of linear arithmetic theories
This paper resolves two open problems on linear integer arithmetic (LIA), also known as Presburger arithmetic. First, we give a triply exponential geometric decision procedure for LIA, i.e., a procedure based on manipulating semilinear sets. This matches the running time of the best quantifier elimination and automata-based procedures. Second, building upon our first result, we give a doubly exponential upper bound on the Vapnik–Chervonenkis (VC) dimension of sets definable in LIA, proving a conjecture of D. Nguyen and I. Pak [Combinatorica 39, pp. 923–932, 2019]. These results partially rely on an analysis of sets definable in linear real arithmetic (LRA), and analogous results for LRA are also obtained. At the core of these developments are new decomposition results for semilinear and -semilinear sets, the latter being the sets definable in LRA. These results yield new algorithms to compute the complement of (-)semilinear sets that do not cause a non-elementary blowup when repeatedly combined with procedures for other Boolean operations and projection. The existence of such an algorithm for semilinear sets has been a long-standing open problem.
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