对于标量的系统F

IF 0.6 4区 数学 Q4 COMPUTER SCIENCE, THEORY & METHODS Logical Methods in Computer Science Pub Date : 2009-03-22 DOI:10.2168/LMCS-8(1:11)2012
P. Arrighi, Alejandro Díaz-Caro
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引用次数: 36

摘要

代数-微积分(40)和线性-代数-微积分(3)扩展了代数-微积分,使得代数项可以任意线性组合(保留Pi:ti)。在本文中,我们为线性代数微积分(linear)提供了一个细粒度的,类系统F型系统。我们证明了该标量型系统既具有主体约简性质,又具有强归一化性质,这是我们的主要技术成果。后者通过消除其约简规则中的一些限制,从而使线性代数演算本身得到了显著的简化,从而使其更加直观。但更重要的是,标量类型系统的原始特征是它记录了在每一项中出现的“类型的数量”。作为一个例子,我们展示了如何使用这种类型系统来保证概率函数(Pi = 1)的良好确定性——从而将线性专门化为概率的、高阶的微积分。最后,我们开始研究标量型系统所诱导的逻辑,并证明了一个只用该逻辑中可能的证明方法表示的不可克隆定理。我们讨论了与线性逻辑和量子计算的潜在联系。
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A System F accounting for scalars
The algebraic �-calculus (40) and the linear-algebraic �-calculus (3) extend the �-calculus with the possibility of making arbitrary linear combinations of �-calculus terms (preserving Pi:ti). In this paper we provide a fine-grained, System F -like type system for the linear-algebraic �-calculus (Lineal). We show that this scalar type system enjoys both the subject-reduction property and the strong-normalisation property, which constitute our main technical results. The latter yields a significant simplification of the linear-algebraic �-calculus itself, by removing the need for some restrictions in its reduction rules - and thus leaving it more intuitive. But the more important, original feature of this scalar type system is that it keeps track of 'the amount of a type' that this present in each term. As an example, we show how to use this type system in order to guarantee the well-definiteness of probabilistic functions ( Pi = 1) - thereby specializing Lineal into a probabilistic, higher-order �-calculus. Finally we begin to investigate the logic induced by the scalar type system, and prove a no-cloning theorem expressed solely in terms of the possible proof methods in this logic. We discuss the potential connections with Linear Logic and Quantum Computation.
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来源期刊
Logical Methods in Computer Science
Logical Methods in Computer Science 工程技术-计算机:理论方法
CiteScore
1.80
自引率
0.00%
发文量
105
审稿时长
6-12 weeks
期刊介绍: Logical Methods in Computer Science is a fully refereed, open access, free, electronic journal. It welcomes papers on theoretical and practical areas in computer science involving logical methods, taken in a broad sense; some particular areas within its scope are listed below. Papers are refereed in the traditional way, with two or more referees per paper. Copyright is retained by the author. Topics of Logical Methods in Computer Science: Algebraic methods Automata and logic Automated deduction Categorical models and logic Coalgebraic methods Computability and Logic Computer-aided verification Concurrency theory Constraint programming Cyber-physical systems Database theory Defeasible reasoning Domain theory Emerging topics: Computational systems in biology Emerging topics: Quantum computation and logic Finite model theory Formalized mathematics Functional programming and lambda calculus Inductive logic and learning Interactive proof checking Logic and algorithms Logic and complexity Logic and games Logic and probability Logic for knowledge representation Logic programming Logics of programs Modal and temporal logics Program analysis and type checking Program development and specification Proof complexity Real time and hybrid systems Reasoning about actions and planning Satisfiability Security Semantics of programming languages Term rewriting and equational logic Type theory and constructive mathematics.
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