## A Relationally Parametric Model of Dependent Type Theory

### Publication Information

Robert Atkey, Neil Ghani, and Patricia Johann.*A Relationally Parametric Model of Dependent Type Theory*. In

*Proceedings of the 41st ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages (POPL 2014)*. 2014.

DOI: 10.1145/2535838.2535852

### Abstract

Reynolds’ theory of relational parametricity captures the invariance of polymorphically typed programs under change of data representation. Reynolds' original work exploited the typing discipline of the polymorphically typed λ-calculus System F, but there is now considerable interest in extending relational parametricity to type systems that are richer and more expressive than that of System F.

This paper constructs parametric models of predicative and impredicative dependent type theory. The significance of our models is twofold. Firstly, in the impredicative variant we are able to deduce the existence of initial algebras for all *indexed* functors. To our knowledge, ours is the first account of parametricity for dependent types that is able to lift the useful deduction of the existence of initial algebras in parametric models of System F to the dependently typed setting. Secondly, our models offer conceptual clarity by uniformly expressing relational parametricity for dependent types in terms of reflexive graphs, which allows us to unify the interpretations of types and kinds, instead of taking the relational interpretation of types as a primitive notion. By expressing our model in terms of reflexive graphs, our model has canonical choices for the interpretations of the standard type constructors of dependent type theory, except for the interpretation of the universe of small types, where we formulate a refined interpretation tailored for relational parametricity. Moreover, our reflexive graph model opens the door to generalisations of relational parametricity, for example to higher-dimensional relational parametricity.

## Additional Information

The slides I used for the POPL'14 presentation present some of the same material with less discussion and a larger font.