Function composition
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In mathematics, function composition is the pointwise application of one function to the result of another to produce a third function. For instance, the functions f : X → Y and g : Y → Z can be composed to yield a function which maps x in X to g(f(x)) in Z. Intuitively, if z is a function g of y, and y is a function f of x, then z is a function of x.
The resulting composite function is notated g ∘ f : X → Z, defined by (g ∘ f )(x) = g(f(x)) for all x in X.[note 1]
The notation g ∘ f is read as "g circle f", or "g round f", or "g composed with f", "g after f", "g following f", or "g of f".
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The composition of functions is always associative. That is, if f, g, and h are three functions with suitably chosen domains and codomains, then f ∘ (g ∘ h) = (f ∘ g) ∘ h, where the parentheses serve to indicate that composition is to be performed first for the parenthesized functions. Since there is no distinction between the choices of placement of parentheses, they may be left off without causing any ambiguity.
When composing two functions, it is important to consider the domains of both functions. Therefore, the domain of the output reflects both functions. In most cases, the domain for a composition restricts any inputs that are not allowed in the domain of the first function. Additionally, the domain restricts any values whose output from the first function will be restricted by the second function. For example, consider the functions f(x)=sqrt(x) and g(x)=x². The domain of f(x) is all non-negative real numbers. This is because the result of a negative integer under the radical will result in an imaginary number. The domain of g(x) is all real numbers. This is because any real number can be squared and produces a continuous function. The resulting composition is: h(x) = (g ∘ f)(x) = g(f(x)) = sqrt(x²) = x. Therefore, the composite function h(x) = x. Usually this function has the domain of all real numbers. But since the non-negative real numbers is a subset of the real numbers, and the non-negative real numbers is the domain of f(x), the domain of h(x) therefore has to be the subset, which is all non-negative real numbers.
The functions g and f are said to commute with each other if g ∘ f = f ∘ g. In general, composition of functions will not be commutative. Commutativity is a special property, attained only by particular functions, and often in special circumstances. For example, |x| + 3 = |x + 3| only when x ≥ 0.
Derivatives of compositions involving differentiable functions can be found using the chain rule. Higher derivatives of such functions are given by Faà di Bruno's formula.
The composition of one-to-one functions is always one-to-one. Given two functions f(a) and g(a), both of which are one-to-one, or injective, the composition of these functions (f ∘ g)(a) = f(g(a)) then results in a one-to-one function.
Proof: Our goal is to show that (g ∘ f)(a) is one-to-one. Let X, Y, and Z be sets. Let f: X → Y and g: Y→ Z be functions. Assume both f and g are one-to-one. Choose a and b in X and assume (g ∘ f)(a) = (g ∘ f)(b). By the definition of composite functions, g(f(a)) = g(f(b)). Since g is one-to-one, f(a) = f(b). Thus, since f is also one-to-one, we know that a = b. Therefore, (g ∘ f)(a) is one-to-one.
The composition of two onto functions is always onto. Given two functions f(a) and g(a), both of which are onto, or surjective,the composition of these functions (f ∘ g)(a) = f(g(a)) then results in an onto function.
Proof: Our goal is show that (f ∘ g)(a) = f(g(a)) is onto. Let f: X → Y and g: Y→ Z be functions. Assume both f and g are onto. Let Z be a set that includes the arbitrary element c. Since f is onto, there is an element b in Y such that c = f(b). Additionally, since g is onto, there is an element a in X such that b = g(a). Then, by the definition of composite functions, c = f(g(a)) = (f ∘ g)(a).
Example
Composition of Functions on a Finite Set
Let f(x) = {(1,3), (2,1), (3,4), (4,6)} and let g(x) = {(1,5), (2,3), (3,4), (4,1), (5,3), (6,2)}.
Then (g o f)(x) = {(1,4), (2,5), (3,1), (4,2)}.
Composition of Functions on an Infinite Set
If f: R → R is given by f(x) = 2x + 4 and g: R → R is given by g(x) = x^3, then:
(f o g)(x) = f(g(x)) = f(x^3) = 2(x^3) + 4 = 2x^3 + 4, and (g o f)(x) = g(f(x)) = g(2x + 4) = (2x + 4)^3.
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As an example, suppose that an airplane's elevation at time t is given by the function h(t) and that the oxygen concentration at elevation x is given by the function c(x). Then (c ∘ h)(t) describes the oxygen concentration around the plane at time t.
Functional powers
If then may compose with itself; this is sometimes denoted as f 2. Thus:
Repeated composition of a function with itself is called iterated function.
The functional powers for natural n follow immediately.
- By convention, the identity map on the domain of f ).
- If admits an inverse function, negative functional powers are defined as the opposite power of the inverse function, .
Note: If f takes its values in a ring (in particular for real or complex-valued f), there is a risk of confusion, as f n could also stand for the n-fold product of f, e.g. f 2(x) = f(x) · f(x). For trigonometric functions, usually the latter is meant, at least for positive exponents. For example, in trigonometry, this superscript notation represents standard exponentiation when used with trigonometric functions: sin2(x) = sin(x) · sin(x). However, for negative exponents (especially −1), it nevertheless usually refers to the inverse function, e.g., tan−1 = arctan (≠ 1/tan).
In some cases, an expression for f in g(x) = f r(x) can be derived from the rule for g given non-integer values of r. This is called fractional iteration. For instance, a half iterate of a function f is a function g satisfying g(g(x)) = f(x). Another example would be that where f is the successor function, f r(x) = x + r. This idea can be generalized so that the iteration count becomes a continuous parameter; in this case, such a system is called a flow, specified through solutions of Schröder's equation.
Iterated functions and flows occur naturally in the study of fractals and dynamical systems.
Composition monoids
Suppose one has two (or more) functions f: X → X, g: X → X having the same domain and codomain. Then one can form long, potentially complicated chains of these functions composed together, such as f ∘ f ∘ g ∘ f. Such long chains have the algebraic structure of a monoid, and are called a transformation monoid or composition monoid. In general, composition monoids can have remarkably complicated structure. One particular notable example is the de Rham curve. The set of all functions f: X → X is called the full transformation semigroup on X.
If the functions are bijective, then the set of all possible combinations of these functions forms a transformation group; and one says that the group is generated by these functions.
The set of all bijective functions f: X → X forms a group with respect to the composition operator. This is the symmetric group, also sometimes called the composition group.
Alternative notations
- Many mathematicians omit the composition symbol, writing gf for g ∘ f.
- In the mid-20th century, some mathematicians decided that writing "g ∘ f " to mean "first apply f, then apply g" was too confusing and decided to change notations. They write "xf " for "f(x)" and "(xf )g" for "g(f(x))". This can be more natural and seem simpler than writing functions on the left in some areas – in linear algebra, for instance, when x is a row vector and f and g denote matrices and the composition is by matrix multiplication. This alternative notation is called postfix notation. The order is important because matrix multiplication is non-commutative. Successive transformations applying and composing to the right agrees with the left-to-right reading sequence.
- Mathematicians who use postfix notation may write "fg", meaning first do f then do g, in keeping with the order the symbols occur in postfix notation, thus making the notation "fg" ambiguous. Computer scientists may write "f;g" for this, thereby disambiguating the order of composition. To distinguish the left composition operator from a text semicolon, in the Z notation the U+2A1F ⨟ Z NOTATION SCHEMA COMPOSITION character is used for left relation composition. Since all functions are binary relations, it is correct to use the fat semicolon for function composition as well (see the article on Composition of relations for further details on this notation).
Composition operator
Given a function g, the composition operator Cg is defined as that operator which maps functions to functions as
Composition operators are studied in the field of operator theory.
Generalizations
The structures given by composition are axiomatized and generalized in category theory with the concept of morphism as the category-theoretical replacement of functions.
Composition of relations is a generalization to relations, which gives the formula for g ∘ f ⊆ X × Z in terms of f ⊆ X × Y and g ⊆ Y × Z by applying the existential quantification. Considering functions as its special case (namely functional relations), composition of functions satisfies the definition for relations.
Composition is possible for multivariate functions. The function resulting when some argument xi of the function f is replaced by the function g is called a composition of f and g, and is denoted f |xi = g
When g is a simple constant b, composition degenerates into a (partial) valuation, whose result is also known as restriction or co-factor[1]
See also
- Combinatory logic
- Function composition (computer science)
- Functional decomposition
- Flow (mathematics)
- Higher-order function
- Cobweb plot – a graphical technique for functional composition
- Lambda calculus
- Functional square root
- Fractional calculus
- Composition ring, a formal axiomatization of the composition operation
References
- ^ Bryant, R.E. (August 1986). "Logic Minimization Algorithms for VLSI Synthesis" (PDF). IEEE Transactions on Computers. C-35 issue=8: 677–691.
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External links
- "Composite function", Encyclopedia of Mathematics, EMS Press, 2001 [1994]
- "Composition of Functions" by Bruce Atwood, the Wolfram Demonstrations Project, 2007.
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