类图一阶查询集的可跟踪性边界

Hubie Chen
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引用次数: 11

摘要

我们研究了一阶模型检验,即判定给定一阶句子是否满足给定有限结构的问题。特别是,我们的目标是在参数化复杂性理论的意义上理解哪些句子集是可处理的。为此,我们定义了类似图的句子集的概念,该定义受到先前一阶模型检查工作的启发,其中允许的连接词和量词受到限制。我们的主要定理是这种类图句子集的完全可追溯性分类,这是(据我们所知)第一个关于一类不受连接词和量词限制的句子的复杂性分类定理。为了展示和证明我们的分类,我们引入并发展了一个新的复杂性理论框架,该框架建立在参数化复杂性的基础上,并包含了新的约简概念。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The tractability frontier of graph-like first-order query sets
We study first-order model checking, by which we refer to the problem of deciding whether or not a given first-order sentence is satisfied by a given finite structure. In particular, we aim to understand on which sets of sentences this problem is tractable, in the sense of parameterized complexity theory. To this end, we define the notion of a graph-like sentence set, which definition is inspired by previous work on first-order model checking wherein the permitted connectives and quantifiers were restricted. Our main theorem is the complete tractability classification of such graphlike sentence sets, which is (to our knowledge) the first complexity classification theorem concerning a class of sentences that has no restriction on the connectives and quantifiers. To present and prove our classification, we introduce and develop a novel complexity-theoretic framework which is built on parameterized complexity and includes new notions of reduction.
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