Fixed point combinator

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A fixed point combinator (or fixed-point operator) is a higher-order function which computes a fixed point of other functions. This operation is relevant in programming language theory because it allows the implementation of recursion in the form of a rewrite rule, without explicit support from the language's runtime engine.

A fixed point of a function f is a value x such that f(x) = x. For example, 0 and 1 are fixed points of the function f(x) = x², because 0² = 0 and 1² = 1. Whereas a fixed-point of a first-order function (a function on "simple" values such as integers) is a first-order value, a fixed point of a higher-order function f is another function p such that f(p) = p. A fixed point operator, then, is a function g which produces such a fixed point p for any function f:

p = g(f), f(p) = p

or, alternately:

f(g(f)) = g(f).

Fixed point combinators allow the definition of anonymous recursive functions (see the example below). Somewhat surprisingly, they can be defined with non-recursive lambda abstractions.

Contents 1 Y combinator 2 Existence of fixed point combinators 3 Example 4 Other fixed point combinators 5 Example of encoding via recursive types 6 See also 7 External links

[edit] Y combinator

One well-known (and perhaps the simplest) fixed point combinator in the untyped lambda calculus is called the Y combinator. It was discovered by Haskell B. Curry, and is defined as

Y = λf·(λx·f (x x)) (λx·f (x x))

We can see that this function acts as a fixed point combinator by expanding it for an example function g:

Y g = (λf . (λx . f (x x)) (λx . f (x x))) g
Y g = (λx . g (x x)) (λx . g (x x))              (β-reduction of λf - applied main function to g)
Y g = (λy . g (y y)) (λx . g (x x))              (α-conversion - renamed bound variable)
Y g = g ((λx . g (x x)) (λx . g (x x)))          (β-reduction of λy - applied left function to right function)
Y g = g (Y g)                                    (definition of Y)

Note that the Y combinator is intended for the call-by-name evaluation strategy, since (Y g) diverges (for any g) in call-by-value settings.

[edit] Existence of fixed point combinators

In certain mathematical formalizations of computation, such as the untyped lambda calculus and combinatory logic, every expression can be considered a higher-order function. In these formalizations, the existence of a fixed-point combinator means that every function has at least one fixed point; a function may have more than one distinct fixed point.

In some other systems, for example the simply typed lambda calculus, a well-typed fixed-point combinator cannot be written. In those systems any support for recursion must be explicitly added to the language. In still others, such as the simply-typed lambda calculus extended with recursive types, fixed-point operators can be written, but the type of a "useful" fixed-point operator (one whose application always returns) may be restricted.

For example, in Standard ML the call-by-value variant of the Y combinator has the type ∀a.∀b.((a→b)→(a→b))→(a→b), whereas the call-by-name variant has the type ∀a.(a→a)→a. The call-by-name (normal) variant loops forever when applied in a call-by-value language -- every application Y(f) expands to f(Y(f)). The argument to f is then expanded, as required for a call-by-value language, yielding f(f(Y(f))). This process iterates "forever" (until the system runs out of memory), without ever actually evaluating the body of f.

[edit] Example

Consider the factorial function (under Church encoding). The usual recursive mathematical equation is

fact(n) = if n=0 then 1 else n * fact(n-1)

We can express a "single step" of this recursion in lambda calculus as

F = λf. λx. (ISZERO x) 1 (MULT x (f (PRED x))),

where "f" is a place-holder argument for the factorial function to be passed to itself. The function F performs a single step in the evaluation of the recursive formula. Applying the fix operator gives

fix(F)(n) = F(fix(F))(n)

fix(F)(n) = λx. (ISZERO x) 1 (MULT x (fix(F) (PRED x)))(n)

fix(F)(n) = (ISZERO n) 1 (MULT n (fix(F) (PRED n)))

We can abbreviate fix(F) as fact, and we have

fact(n) = (ISZERO n) 1 (MULT n (fact(PRED n)))

So we see that a fixed-point operator really does turn our non-recursive "factorial step" function into a recursive function satisfying the intended equation.

[edit] Other fixed point combinators

A version of the Y combinator that can be used in call-by-value (applicative-order) evaluation is given by η-expansion of part of the ordinary Y combinator:

Z = λf. (λx. f (λy. x x y)) (λx. f (λy. x x y))

The Y combinator can be expressed in the SKI-calculus as

Y = S (K (S I I)) (S (S (K S) K) (K (S I I)))

The simplest fixed point combinator in the SK-calculus, found by John Tromp, is

Y' = S S K (S (K (S S (S (S S K)))) K)

which corresponds to the lambda expression

Y' = (λx. λy. x y x) (λy. λx. y (x y x))

Another common fixed point combinator is the Turing fixed-point combinator (named after its discoverer, Alan Turing):

Θ = (λx. λy. (y (x x y))) (λx. λy. (y (x x y)))

It also has a simple call-by-value form:

Θ_v = (λx. λy. (y (λz. x x y z))) (λx. λy. (y (λz. x x y z)))

Fixed point combinators are not especially rare (there are infinitely many of them). Some, such as this one (constructed by Jan Willem Klop) are useful chiefly for amusement:

Y_k = (L L L L L L L L L L L L L L L L L L L L L L L L L L)

where:

L = λabcdefghijklmnopqstuvwxyzr. (r (t h i s i s a f i x e d p o i n t c o m b i n a t o r))

[edit] Example of encoding via recursive types

In systems with recursive types, it's possible to type the Y combinator by appropriately accounting for the recursion at the type level. The need to self-apply the variable x can be managed using a type (Rec a) which is defined so as to be isomorphic to (Rec a -> a).

For example, in the following Haskell code, we have In and out being the names of the two directions of the isomorphism, with types:

In :: (Rec a -> a) -> Rec a
out :: Rec a -> (Rec a -> a)

which lets us write:

newtype Rec a = In { out :: Rec a -> a }

y :: (a -> a) -> a
y = \f -> (\x -> f (out x x)) (In (\x -> f (out x x)))

[edit] See also

• combinatory logic
• untyped lambda calculus
• typed lambda calculus
• anonymous recursion
• eigenfunction

[edit] External links

• http://okmij.org/ftp/Computation/fixed-point-combinators.html
• http://www.cs.brown.edu/courses/cs173/2002/Lectures/2002-10-28-lc.pdf
• http://www.mactech.com/articles/mactech/Vol.07/07.05/LambdaCalculus/
• http://www.csse.monash.edu.au/~lloyd/tildeFP/Lambda/Examples/Y/ (executable)
• http://www.ececs.uc.edu/~franco/C511/html/Scheme/ycomb.html
• an example and discussion of a perl implementation
• "A Lecture on the Why of Y"
• "A Use of the Y Combinator in Ruby"