The inverse Taylor expansion problem in linear logic

Michele Pagani (1) , Christine Tasson (1)

1 PPS - Preuves, Programmes et Systèmes

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 (D I LL) — 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 of D I LL, 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 D I LL 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.

Mots clés: Linear logic; Differential interaction nets; Denotational semantics; Rewriting systems

Domaines: Logique en informatique [cs.LO]; Logique [math.LO]

Michele Pagani, Christine Tasson. The inverse Taylor expansion problem in linear logic. Logic in Computer Science, Aug 2009, Los Angeles, United States. pp.222--231, ⟨10.1109/LICS.2009.19⟩. ⟨hal-00440684⟩