Taylor polynomial remainder term

In summary, the conversation discusses the approximation of a function using a Taylor polynomial and the use of Taylor's inequality to estimate the accuracy of the approximation. The solution involves finding the Taylor polynomial at n=2 and using the remainder formula to calculate the maximum possible error, which is estimated to be 1.6689.
  • #1
stunner5000pt
1,461
2

Homework Statement


Consider the followign function [itex] f(x) = x^-5 [/itex]
[itex] a=1 [/itex]
[itex] n=2 [/itex]
[itex]0.8 \leq x \leq 1.2 [/itex]

a) Approximate f with a tayloy polynomial of nth degree at the number a = 1
b) use taylor's inequality to estimate the accuracy of approximation [itex] f(x) ≈ T_{n}(x) [/itex] when x lies in the interval

Homework Equations


[tex] f(x) = f(a) + f'(a)(x-a) +\frac{f''(a)}{2!}(x-a)^2 [/tex]
[tex] R_k(x) =\frac{f^{(k+1)}(\xi_L)}{(k+1)!} (x-a)^{k+1} [/tex]

The Attempt at a Solution



Part a is simple:
[tex] T_2(x) = 1 - 5(x-1) + 15(x-1)^2 [/tex]

Since we have found the taylor polynomial at n = 2 the remainder:

[tex] R_2(x) \leq | \frac{M}{3!}(x-1)^3 | [/tex]

Since [tex] f^{(3)} (x) = -210x^{-8} [/tex]
and this is decreasing, we use x = 0.8 and we use [itex] M = -210(0.8)^{-8} [/itex]

[tex] R_2(x) \leq |\frac{-210(0.8)^{-8}}{3!} (0.8-1)^3 [/tex]

and the result of the above is 1.6689

Is the above correct? Thanks for your help!
 
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  • #2
stunner5000pt said:
Since [tex] f^{(3)} (x) = -210x^{-8} [/tex]
and this is decreasing, we use x = 0.8 and we use [itex] M = -210(0.8)^{-8} [/itex]
Technially,
[itex] f^{(3)} (x) = -210x^{-8} [/itex]
is increasing on the interval. But since we need
[itex]M = max \left| f^{(k+1)}(\xi_L) \right|[/itex]
x = 0.8 is the correct value of xi.

I also got 1.6689 as the estimated error.
 
  • #3
eumyang said:
Technially,
[itex] f^{(3)} (x) = -210x^{-8} [/itex]
is increasing on the interval. But since we need
[itex]M = max \left| f^{(k+1)}(\xi_L) \right|[/itex]
x = 0.8 is the correct value of xi.

I also got 1.6689 as the estimated error.

Ah yes, didn't consider the negative sign - thanks for your help!
 

Related to Taylor polynomial remainder term

What is the purpose of the Taylor polynomial remainder term?

The Taylor polynomial remainder term is used to estimate the error in approximating a function using a Taylor polynomial. It helps to determine how close the polynomial is to the actual function and provides a way to improve the accuracy of the approximation.

How is the Taylor polynomial remainder term calculated?

The Taylor polynomial remainder term is calculated using the Lagrange or Cauchy form of the remainder formula. This formula involves taking the nth derivative of the function and evaluating it at a specific point in the interval of approximation.

What is the significance of the remainder term's degree in the Taylor polynomial?

The degree of the remainder term in the Taylor polynomial is directly related to the accuracy of the approximation. A higher degree remainder term indicates a better approximation, as it means the error is smaller.

When is it necessary to consider the Taylor polynomial remainder term?

The Taylor polynomial remainder term should be considered when using a Taylor polynomial to approximate a function. This is especially important when the degree of the polynomial is low, as the error may be significant.

Can the Taylor polynomial remainder term be negative?

Yes, the Taylor polynomial remainder term can be negative. This indicates that the Taylor polynomial overestimates the function at that particular point. However, the overall error may still be positive or negative, depending on the function and the point of approximation.

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