Title :
The Inverse Taylor Expansion Problem in Linear Logic
Author :
Pagani, Michele ; Tasson, Christine
Author_Institution :
Dipt. di Inf., Univ. degli Studi di Torino, Torino, Italy
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.
Keywords :
formal logic; polynomials; rewriting systems; algebraic linearity; computer science linearity; differential linear logic; inverse Taylor expansion problem; merging reduction; multiplicative exponential linear logic; nondeterministic polynomial time; rewriting system; Algorithms; Computer science; Functional analysis; Linearity; Logic functions; Merging; Polynomials; Runtime; Taylor series; Vectors; Denotational semantics; Differential interaction nets; Linear Logic; Rewriting systems;
Conference_Titel :
Logic In Computer Science, 2009. LICS '09. 24th Annual IEEE Symposium on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3746-7
DOI :
10.1109/LICS.2009.35