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System F information


System F (also polymorphic lambda calculus or second-order lambda calculus) is a typed lambda calculus that introduces, to simply typed lambda calculus, a mechanism of universal quantification over types. System F formalizes parametric polymorphism in programming languages, thus forming a theoretical basis for languages such as Haskell and ML. It was discovered independently by logician Jean-Yves Girard (1972) and computer scientist John C. Reynolds.

Whereas simply typed lambda calculus has variables ranging over terms, and binders for them, System F additionally has variables ranging over types, and binders for them. As an example, the fact that the identity function can have any type of the form AA would be formalized in System F as the judgement

where is a type variable. The upper-case is traditionally used to denote type-level functions, as opposed to the lower-case which is used for value-level functions. (The superscripted means that the bound x is of type ; the expression after the colon is the type of the lambda expression preceding it.)

As a term rewriting system, System F is strongly normalizing. However, type inference in System F (without explicit type annotations) is undecidable. Under the Curry–Howard isomorphism, System F corresponds to the fragment of second-order intuitionistic logic that uses only universal quantification. System F can be seen as part of the lambda cube, together with even more expressive typed lambda calculi, including those with dependent types.

According to Girard, the "F" in System F was picked by chance.[1]

  1. ^ Girard, Jean-Yves (1986). "The system F of variable types, fifteen years later". Theoretical Computer Science. 45: 160. doi:10.1016/0304-3975(86)90044-7. However, in [3] it was shown that the obvious rules of conversion for this system, called F by chance, were converging.

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