有界维的交型演算

Andrej Dudenhefner, J. Rehof
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引用次数: 22

摘要

给出了交型λ-微积分中维数的概念。类型化λ项的维数是由在其类型上类型化该项所需的精化(证明理论修饰)的最小范数给出的,并且直观地度量作为资源的交集引入。有界维相交型微积分具有主题约简性,因为在β-约简下,项可以在非递增范数中进行细化。我们证明了维度的多集解释(对应于交集的非幂等非线性解释)对应于搜索居民时所需的同时约束的数量。结果表明,该问题在有界多集维上是可决定的,并证明了该问题是expspace完全的。这个结果是对秩2片段的居住的一个实质性推广,得到了一个与秩无关的可决定居住的微积分。我们的结果给出了具有可定居住问题的交型微积分子类的一个新的判据(量纲界),该判据与先前已知的判据是正交的,应该在综合中有直接的应用。此外,我们给出了相交类型系统片段的量纲分析示例,包括简单类型、2级类型和范式类型的保守性,并对其他系统的量纲分析提供了一些观察结果。建议(对于未来的工作),我们的维的概念可能有语义的解释在减少复杂性方面。
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Intersection type calculi of bounded dimension
A notion of dimension in intersection typed λ-calculi is presented. The dimension of a typed λ-term is given by the minimal norm of an elaboration (a proof theoretic decoration) necessary for typing the term at its type, and, intuitively, measures intersection introduction as a resource. Bounded-dimensional intersection type calculi are shown to enjoy subject reduction, since terms can be elaborated in non-increasing norm under β-reduction. We prove that a multiset interpretation (corresponding to a non-idempotent and non-linear interpretation of intersection) of dimensionality corresponds to the number of simultaneous constraints required during search for inhabitants. As a consequence, the inhabitation problem is decidable in bounded multiset dimension, and it is proven to be EXPSPACE-complete. This result is a substantial generalization of inhabitation for the rank 2-fragment, yielding a calculus with decidable inhabitation which is independent of rank. Our results give rise to a new criterion (dimensional bound) for subclasses of intersection type calculi with a decidable inhabitation problem, which is orthogonal to previously known criteria, and which should have immediate applications in synthesis. Additionally, we give examples of dimensional analysis of fragments of the intersection type system, including conservativity over simple types, rank 2-types, and normal form typings, and we provide some observations towards dimensional analysis of other systems. It is suggested (for future work) that our notion of dimension may have semantic interpretations in terms of of reduction complexity.
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