Monotone fixed-point types and strong normalization

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Abstract

Several systems of fixed-point types (also called retract types or recursive types with explicit isomorphisms) extending system F are considered. The seemingly strongest systems have monotonicity witnesses and use them in the definition of beta reduction for those types. A more naïve approach leads to non-normalizing terms. All the other systems are strongly normalizing because they embed in a reduction-preserving way into the system of non-interleaved positive fixed-point types which can be shown to be strongly normalizing by an easy extension of some proof of strong normalization for system F.

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Matthes, R. (1999). Monotone fixed-point types and strong normalization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1584, pp. 298–312). Springer Verlag. https://doi.org/10.1007/10703163_20

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