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Contraction Theorem for Analytic Functions [1] — Let f be analytic in a simply-connected region S and continuous on the closure S of S. Suppose f ( S ) is a bounded set contained in S . Then for all z in S there exists an attractive fixed point α of f in S such that: F n ( z ) = ( f ∘ f ∘ ⋯ ∘ f ) ( z ) → α . {\displaystyle F_{n}(z ...
If an airplane's altitude at time t is a(t), and the air pressure at altitude x is p(x), then (p ∘ a)(t) is the pressure around the plane at time t. Function defined on finite sets which change the order of their elements such as permutations can be composed on the same set, this being composition of permutations.
In computer science, function composition is an act or mechanism to combine simple functions to build more complicated ones. Like the usual composition of functions in mathematics , the result of each function is passed as the argument of the next, and the result of the last one is the result of the whole.
In calculus, the chain rule is a formula that expresses the derivative of the composition of two differentiable functions f and g in terms of the derivatives of f and g.More precisely, if = is the function such that () = (()) for every x, then the chain rule is, in Lagrange's notation, ′ = ′ (()) ′ (). or, equivalently, ′ = ′ = (′) ′.
The Cauchy formula for repeated integration, namely () = ()! (), leads in a straightforward way to a generalization for real n: using the gamma function to remove the discrete nature of the factorial function gives us a natural candidate for applications of the fractional integral operator as () = () ().
In general, the following identity holds for all non-negative integers m and n, = = + . This is structurally identical to the property of exponentiation that a m a n = a m + n.. In general, for arbitrary general (negative, non-integer, etc.) indices m and n, this relation is called the translation functional equation, cf. Schröder's equation and Abel equation.
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An entry in the matrix product of two logical matrices will be 1, then, only if the row and column multiplied have a corresponding 1. Thus the logical matrix of a composition of relations can be found by computing the matrix product of the matrices representing the factors of the composition.