Various typed lambda calculi have been studied. The simply typed lambda calculus has only one type constructor, the arrow → {\displaystyle \to } , and its only types are basic types and function types σ → τ {\displaystyle \sigma \to \tau } . System T extends the simply typed lambda calculus with a type of natural numbers and higher-order primitive recursion; in this system all functions provably recursive in Peano arithmetic are definable. System F allows polymorphism by using universal quantification over all types; from a logical perspective it can describe all functions that are provably total in second-order logic. Lambda calculi with dependent types are the base of intuitionistic type theory, the calculus of constructions and the logical framework (LF), a pure lambda calculus with dependent types. Based on work by Berardi on pure type systems, Henk Barendregt proposed the Lambda cube to systematize the relations of pure typed lambda calculi (including simply typed lambda calculus, System F, LF and the calculus of constructions).3
Some typed lambda calculi introduce a notion of subtyping, i.e. if A {\displaystyle A} is a subtype of B {\displaystyle B} , then all terms of type A {\displaystyle A} also have type B {\displaystyle B} . Typed lambda calculi with subtyping are the simply typed lambda calculus with conjunctive types and System F<:.
All the systems mentioned so far, with the exception of the untyped lambda calculus, are strongly normalizing: all computations terminate. Therefore, they cannot describe all Turing-computable functions.4 As another consequence they are consistent as a logic, i.e. there are uninhabited types. There exist, however, typed lambda calculi that are not strongly normalizing. For example the dependently typed lambda calculus with a type of all types (Type : Type) is not normalizing due to Girard's paradox. This system is also the simplest pure type system, a formalism which generalizes the Lambda cube. Systems with explicit recursion combinators, such as Plotkin's "Programming language for Computable Functions" (PCF), are not normalizing, but they are not intended to be interpreted as a logic. Indeed, PCF is a prototypical, typed functional programming language, where types are used to ensure that programs are well-behaved but not necessarily that they are terminating.
In computer programming, the routines (functions, procedures, methods) of strongly typed programming languages closely correspond to typed lambda expressions.5
Brandl, Helmut (27 April 2024). "Typed Lambda Calculus / Calculus of Constructions" (PDF). Calculus of Constructions. Retrieved 27 April 2024. https://hbr.github.io/Lambda-Calculus/cc-tex/cc.pdf ↩
Lambek, J.; Scott, P. J. (1986), Introduction to Higher Order Categorical Logic, Cambridge University Press, ISBN 978-0-521-35653-4, MR 0856915 978-0-521-35653-4 ↩
Barendregt, Henk (1991). "Introduction to generalized type systems". Journal of Functional Programming. 1 (2): 125–154. doi:10.1017/S0956796800020025. hdl:2066/17240. ISSN 0956-7968. https://www.cambridge.org/core/product/identifier/S0956796800020025/type/journal_article ↩
since the halting problem for the latter class was proven to be undecidable /wiki/Halting_problem ↩
"What to know before debating type systems | Ovid [blogs.perl.org]". blogs.perl.org. Retrieved 2024-04-26. https://blogs.perl.org/users/ovid/2010/08/what-to-know-before-debating-type-systems.html ↩