Section 10.4 Taylor Polynomials Approximating Functions by Polynomials n Tn ( x) i 0 T0 ( x) f f (i ) (a) ( x a )i i! (0) (a) ( x a)0 f a 0! T1(x) = f(a) + f (a)(x – a) Tn(x) f x e x x2 T2 1 x T1 1 x 2 x 2 x3 T3 1 x 2 6 Remainder in a Taylor Polynomial Let Tn be the Taylor polynomial of order n for f . The remainder in using Tn to approximate f is Rn f x Tn Taylor’s Inequality x M for x a d , then Rn x satisfies the inequality If f n 1 M n 1 Rn x xa for x a d . n 1! a x a n1 n 1! f n 1 How large should we take n to be in order to achieve a desired accuracy? | Rn (x) | = | f (x) – Tn (x)| There are three possible methods for estimating the size of the error: 1. If a graphing device is available, we can use it to graph | Rn (x) | and thereby estimate the error. 2. If the series happens to be an alternating series, we can use the Alternating Series Estimation Theorem. 3. In all cases we can use Taylor’s Inequality which says that if then (a) Approximate the function Taylor polynomial of degree 2 at a = 8. by a ( (b) How accurate is this approximation when 7 x 9? What is the maximum error possible in using the approximation 3 5 x x when –0.3 ≤ x ≤ 0.3? sin x x 3! 5! Use this approximation to find sin 12° correct to six decimal places. | R6 ( x) || sin x ( x x 1 6 3 1 120 5 x )| What if we want to approximate sin 72° instead of sin 12°? It would have been wise to use the Taylor polynomials at a = π/3 instead of a = 0. They are better approximations to sin x for values of x close to π/3. A polynomial approximation is calculated (in many machines) when: You press the sin or ex key on your calculator. A computer programmer uses a subroutine for a trigonometric or exponential or Bessel function. The polynomial is often a Taylor polynomial that has been modified so that the error is spread more evenly throughout an interval. To gain insight into an equation, a physicist often simplifies a function by considering only the first two or three terms in its Taylor series. – That is, the physicist uses a Taylor polynomial as an approximation to the function. – Then, Taylor’s Inequality can be used to gauge the accuracy of the approximation.