, a binary function can be represented as a subset of the Cartesian product, where belongs to the subset if and only if. Conversely, a subset defines a binary function if and only if for any and, there exists a unique such that belongs to. is then defined to be this. Alternatively, a binary function may be interpreted as simply a function from to. Even when thought of this way, however, one generally writes instead of.
Functions whose domain is a subset of are often also called functions of two variables even if their domain does not form a rectangle and thus the cartesian product of two sets.
Restrictions to ordinary functions
In turn, one can also derive ordinary functions of one variable from a binary function. Given any element, there is a function, or, from to, given by. Similarly, given any element, there is a function, or, from to, given by. In computer science, this identification between a function from to and a function from to, where is the set of all functions from to, is called currying.
Generalisations
The various concepts relating to functions can also be generalised to binary functions. For example, the division example above is surjective because every rational number may be expressed as a quotient of an integer and a natural number. This example is injective in each input separately, because the functions fx and fy are always injective. However, it's not injective in both variables simultaneously, because f = f. One can also consider partial binary functions, which may be defined only for certain values of the inputs. For example, the division example above may also be interpreted as a partial binary function from Z and N to Q, where N is the set of all natural numbers, including zero. But this function is undefined when the second input is zero. A binary operation is a binary function where the sets X, Y, and Z are all equal; binary operations are often used to define algebraic structures. In linear algebra, a bilinear transformation is a binary function where the sets X, Y, and Z are all vector spaces and the derived functions fx and fy are all linear transformations. A bilinear transformation, like any binary function, can be interpreted as a function from X × Y to Z, but this function in general won't be linear. However, the bilinear transformation can also be interpreted as a single linear transformation from the tensor product to Z.
Generalisations to ternary and other functions
The concept of binary function generalises to ternaryfunction, quaternaryfunction, or more generally to n-ary function for any natural number n. A 0-ary function to Z is simply given by an element ofZ. One can also define an A-ary function where A is any set; there is one input for each element of A.
Category theory
In category theory, n-ary functions generalise to n-ary morphisms in a multicategory. The interpretation of an n-ary morphism as an ordinary morphisms whose domain is some sort of product of the domains of the original n-ary morphism will work in a monoidal category. The construction of the derived morphisms of one variable will work in a closed monoidal category. The category of sets is closed monoidal, but so is the category of vector spaces, giving the notion of bilinear transformation above.