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arXiv 2402.09138cs.LO
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统一格度线性逻辑与微分算子

Unifying Graded Linear Logic and Differential Operators

CNRS(法国国家科学研究中心)

Flavien Breuvart, Marie Kerjean, Simon Mirwasser

AI总结:

本文提出了一种将格度线性逻辑与微分算子结合的逻辑体系,并给出了其指派模型。

摘要:

线性逻辑通过考虑证明和程序计算中使用的资源来细化直觉逻辑。在过去几十年中,它已被扩展到各种框架。最著名的扩展是索引线性逻辑,可以描述程序的资源管理或复杂度分析。从另一个角度来看,微分线性逻辑是一种扩展,允许证明的线性化。在本文中,我们通过首先定义一种微分版本的格度线性逻辑:这是通过将指数连接词索引化为微分算子的单oid来实现的。我们证明其等价于之前定义的有限微分线性逻辑的格度版本。我们基于分布理论和具有常系数的线性偏微分算子给出了该逻辑的指派模型。

英文摘要:

Linear Logic refines Intuitionnistic Logic by taking into account the resources used during the proof and program computation. In the past decades, it has been extended to various frameworks. The most famous are indexed linear logics which can describe the resource management or the complexity analysis of a program. From an other perspective, Differential Linear Logic is an extension which allows the linearization of proofs. In this article, we merge these two directions by first defining a differential version of Graded linear logic: this is made by indexing exponential connectives with a monoid of differential operators. We prove that it is equivalent to a graded version of previously defined extension of finitary differential linear logic. We give a denotational model of our logic, based on distribution theory and linear partial differential operators with constant coefficients.

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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