Phase semantics and decidability of elementary affine logic

AbstractLight, elementary and soft linear logics are formal systems derived from Linear Logic, enjoying remarkable normalization properties. In this paper, we prove decidability of Elementary Affine Logic, EAL. The result is obtained by semantical means, first defining a class of phase models for EAL and then proving soundness and (strong) completeness, following Okada's technique. Phase models for Light Affine Logic and Soft Linear Logic are also defined and shown complete

(Optimal) duplication is not elementary recursive.

AbstractIn 1998 Asperti and Mairson proved that the cost of reducing a lambda-term using an optimal lambda-reducer (a la Lévy) cannot be bound by any elementary function in the number of shared-beta steps. We prove in this paper that an analogous result holds for Lamping’s abstract algorithm. That is, there is no elementary function in the number of shared beta steps bounding the number of duplication steps of the optimal reducer. This theorem vindicates the oracle of Lamping’s algorithm as the culprit for the negative result of Asperti and Mairson. The result is obtained using as a technical tool Elementary Affine Logic

(Optimal) duplication is not elementary recursive

In the last ten years there has been a steady interest in optimal reduction of -terms (or, more generally, of functional programs). The very story started, in fact, more than twent