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In mathematical logic, category theory, and computer science, kappa calculus is a formal system for defining first-order functions.

Unlike lambda calculus, kappa calculus has no higher-order functions; its functions are not first class objects. Kappa-calculus can be regarded as "a reformulation of the first-order fragment of typed lambda calculus[1]".

Because its functions are not first-class objects, evaluation of kappa calculus expressions does not require closures.


The definition below has been adapted from the diagrams on pages 205 and 207 of Hasegawa.[1]


Kappa calculus consists of types and expressions, given by the grammar below:

In other words,

The and the subscripts of id, !, and are sometimes omitted when they can be unambiguously determined from the context.

Juxtaposition is often used as an abbreviation for a combination of "" and composition:

Typing rules

The presentation here uses sequents () rather than hypothetical judgments in order to ease comparison with the simply typed lambda calculus. This requires the additional Var rule, which does not appear in Hasegawa[1]

In kappa calculus an expression has two types: the type of its source and the type of its target. The notation is used to indicate that expression e has source type and target type .

Expressions in kappa calculus are assigned types according to the following rules:

In other words,


Kappa calculus obeys the following equalities:

The last two equalities are reduction rules for the calculus, rewriting from left to right.


The type 1 can be regarded as the unit type. Because of this, any two functions whose argument type is the same and whose result type is 1 should be equal – since there is only a single value of type 1 both functions must return that value for every argument (Terminality).

Expressions with type can be regarded as "constants" or values of "ground type"; this is because 1 is the unit type, and so a function from this type is necessarily a constant function. Note that the kappa rule allows abstractions only when the variable being abstracted has the type for some . This is the basic mechanism which ensures that all functions are first-order.

Categorical semantics

Kappa calculus is intended to be the internal language of contextually complete categories.


Expressions with multiple arguments have source types which are "right-imbalanced" binary trees. For example, a function f with three arguments of types A, B, and C and result type D will have type

If we define left-associative juxtaposition (f c) as an abbreviation for , then – assuming that , , and – we can apply this function:

Since the expression has source type 1, it is a "ground value" and may be passed as an argument to another function. If , then

Much like a curried function of type in lambda calculus, partial application is possible:

However no higher types (i.e. ) are involved. Note that because the source type of is not 1, the following expression cannot be well-typed under the assumptions mentioned so far:

Because successive application is used for multiple arguments it is not necessary to know the arity of a function in order to determine its typing; for example, if we know that then the expression

is well-typed as long as j has type for some and . This property is important when calculating the principal type of an expression, something which can be difficult when attempting to exclude higher-order functions from typed lambda calculi by restricting the grammar of types.


Barendregt originally introduced[2] the term "functional completeness" in the context of combinatory algebra. Kappa calculus arose out of efforts by Lambek[3] to formulate an appropriate analogue of functional completeness for arbitrary categories (see Hermida and Jacobs,[4] section 1). Hasegawa later developed kappa calculus into a usable (though simple) programming language including arithmetic over natural numbers and primitive recursion.[1] Connections to arrows were later investigated[5] by Power, Thielecke, and others.


It is possible to explore versions of kappa calculus with substructural types such as linear, affine, and ordered types. These extensions require eliminating or restricting the expression. In such circumstances the type operator is not a true cartesian product, and is generally written to make this clear.


  1. 1.0 1.1 1.2 1.3 Masahito Hasegawa, Decomposing typed lambda calculus into a couple of categorical programming languages, Category Theory and Computer Science, Lecture Notes in Computer Science Volume 953, pp 200–219.
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  4. Claudio Hermida and Bart Jacobs, Fibrations with Indeterminates: contextual and functinoal completeness for polymorphic lambda calculi, Mathematical Structures in Computer Science, Vol 5, Issue 4, pp 501–531.
  5. Power, John and Thielecke, Hayo, Closed Freyd and -Categories. Proceedings of ICALP'99, Lecture Notes in Computer Science 1644 pp 710–1644.