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Calculus II: Dr. Staples Section 9.1 Approximating Functions with Polynomials
Definition: Taylor Polynomials centered at 𝒙 = 𝒂 Let f be a function with derivatives, 𝑓!, 𝑓!! , 𝑓!!!, …𝑓! defined at a. Then the nth-order Taylor polynomial centered at 𝑥 = 𝑎 is given by 𝑝! 𝑥 = 𝑓 𝑎 + 𝑓!(𝑎)(𝑥 − 𝑎)+ !
!!(!)!!
(𝑥 − 𝑎)! + !!!!(!)!!
(𝑥 − 𝑎)! +⋯ !! !!!
(𝑥 − 𝑎)! Note that you only need to compute the coefficients to determine the Taylor Polynomial. Observe that coefficient 𝑐! of (𝑥 − 𝑎)! follows the rule 𝑐! =
!! !!! and 𝑝! 𝑥 = 𝑐!!
!!! (𝑥 − 𝑎)! The nth-order Taylor polynomial centered at 𝒙 = 𝒂 matches f in value, slope, and all derivatives at a. Thus it serves as a very useful approximation function. In fact, the error term or so-called remainder that arises from approximating a function with a Taylor Polynomial is well understood. Definition: Let 𝑝! 𝑥 be the Taylor polynomial of order n for f. The remainder (i.e. error) in using 𝑝! 𝑥 to approximate f at the point x is
𝑅! 𝑥 = 𝑓 𝑥 − 𝑝! 𝑥 .
Estimating the Remainder Let n be a fixed positive integer. Suppose that there exists a number M such that the (n+1)st derivative satisfies | 𝑓!!! 𝑐 | ≤ 𝑀 for all c in [a,x]. Then the remainder in the nth-order Taylor polynomial centered at 𝑥 = 𝑎, satisfies
|𝑅! 𝑥 | = |𝑓 𝑥 − 𝑝! 𝑥 | ≤ 𝑀|𝑥 − 𝑎|!!!
𝑛 + 1 !
If you work with numerical algorithms or computer programs, it is important to be able to estimate the accuracy of your approximation.