Abstract

Plotkin suggested using a polymorphic dual intuitionistic/linear type theory as a metalanguage for parametric polymorphism and recursion. In recent work the first two authors and R.L. Petersen have defined a notion of parametric LAPL-structure, which are models of image, in which one can reason using parametricity and, for example, solve a large class of domain equations, as suggested by Plotkin.In this paper, we show how an interpretation of a strict version of Bierman, Pitts and Russo’s language image into synthetic domain theory presented by Simpson and Rosolini gives rise to a parametric LAPL-structure. This adds to the evidence that the notion of LAPL-structure is a general notion, suitable for treating many different parametric models, and it provides formal proofs of consequences of parametricity expected to hold for the interpretation. Finally, we show how these results, in combination with Rosolini and Simpson’s computational adequacy result, can be used to prove consequences of parametricity for image. In particular, we show that one can solve domain equations in image up to ground contextual equivalence