The Inverse Taylor Expansion Problem in Linear Logic

Michele Pagani, C. Tasson
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引用次数: 16

Abstract

Linear Logic is based on the analogy between algebraic linearity (i.e. commutation with sums and with products with scalars) and the computer science linearity (i.e. calling inputs only once). Keeping on this analogy, Ehrhard and Regnier introduced Differential Linear Logic(DiLL) --- an extension of Multiplicative Exponential Linear Logic with differential constructions. In this setting, promotion (the logical exponentiation) can be approximated by a sum of promotion-free proofs f DiLL via Taylor expansion. We present a constructive way to revert Taylor expansion. Precisely, we define merging reduction --- a rewriting system which merges a finite sum of DiLL proofs into a proof with promotion whenever the sum is an approximation of the Taylor expansion of this proof. We prove that this algorithm is sound, complete and can be run in non-deterministic polynomial time.
线性逻辑中的逆泰勒展开问题
线性逻辑是基于代数线性(即与和和与标量乘积的交换)和计算机科学线性(即只调用一次输入)之间的类比。在这种类比的基础上,Ehrhard和Regnier引入了微分线性逻辑(Differential Linear Logic, DiLL)——一种具有微分结构的乘法指数线性逻辑的扩展。在这种情况下,提升(逻辑幂)可以近似为通过泰勒展开的DiLL的无提升证明的总和。我们提出了一种建设性的恢复泰勒展开的方法。确切地说,我们定义了归并约简——一个重写系统,它将一个有限的DiLL证明和合并成一个有提升的证明,只要这个和是这个证明的泰勒展开式的近似值。我们证明了该算法是健全的、完备的,并且可以在不确定的多项式时间内运行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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