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arXiv 2408.08236cs.LO
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图导数用于具有传递闭包的正则关系的正算术

Derivatives on Graphs for the Positive Calculus of Relations with Transitive Closure

Institute of Science Tokyo(东京科学大学)

Yoshiki Nakamura

AI总结:

本文通过图导数设计,证明了具有传递闭包的正则关系的正算术等式理论为EXPSPACE完全,并展示了其扩展形式的复杂性。

摘要:

我们证明了具有传递闭包的正则关系的正算术(PCoR*)的等式理论是EXPSPACE完全的。这里,PCoR*项由以下标准的二元关系运算符组成:恒等、空、全、并、交、组合、反向和反向传递闭包(因此,PCoR*项包含了 Kleene 代数和 allegory 项作为碎片)。此外,我们还显示了在混合逻辑中扩展PCoR*以包含测试和名义(nominals)的等式理论仍然保持EXPSPACE完全;此外,其无交集碎片的等式理论是PSPACE完全的。为此,我们通过扩展常规表达式的图导数来设计图导数。这些导数提供了一种有限自动机构造,类似于在单词上的构造,基于路径分解。由于等式理论具有线性界限的路径宽度模型属性,我们可以使用这些自动机来决定PCoR*的等式理论。

英文摘要:

We prove that the equational theory of the positive calculus of relations with transitive closure (PCoR*) is EXPSPACE-complete. Here, PCoR* terms consist of the following standard operators on binary relations: identity, empty, universality, union, intersection, composition, converse, and reflexive transitive closure (so, PCoR* terms subsume Kleene algebra and allegory terms as fragments). Additionally, we show that the equational theory of PCoR* extended with tests and nominals (in hybrid logic) is still EXPSPACE-complete; moreover, it is PSPACE-complete for its intersection-free fragment. To this end, we design derivatives on graphs by extending derivatives on words for regular expressions. The derivatives give a finite automata construction on path decompositions, like those on words. Because the equational theory has a linearly bounded pathwidth model property, we can decide the equational theory of PCoR* using these automata.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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