Q. 80

Question

In Exercises 77–82,

(a) Use appropriate Maclaurin series to express the quantities
in series form.

(b) Use Lagrange’s form for the remainder to bound the error
in using the 5th degree Maclaurin polynomial to approximate the given quantity.

(c) Find the smallest value of  so that the nth degree Maclaurin polynomial approximation to the given quantity is guaranteed to be accurate to within 

10-6


ln 0.7

Step-by-Step Solution

Verified
Answer

(a) The function in series form is ln(0.7)=-k=1(0.3)kk

(b) R5(x)16

(c)  by trial and error, the smallest value of  so that the th degree Maclaurin polynomial approximation to the given quantity is guaranteed to be accurate to within  is .

1Step 1 Given Information

Consider the function f(x)=ln(0.7)

2Part (a) Step 1 Solution

The objective is to use the appropriate Maclaurin series to express the term in series form. The Maclaurin series for the function f(x)=ln(1+x) is,
ln(1+x)=k=1(-1)k+1kxk
Therefore, the function ln(1+x) for x=-0.3 in series form is,
ln[1+(-0.3)]=k=1(-1)k+1k(-0.3)k
Therefore, the function f(x)=ln(0.7) in the series form is ln(0.7)=-k=1(0.3)kk.

3f ( x ) = ln ( 0 . 7 ) Part (b) Step 1 Solution

Consider the function .
The objective is to use the Lagrange's form for the remainder to bound the error in using the 5th  degree Maclaurin polynomial to approximate the function f(x)=ln(0.7).
The Lagrange's form for the remainder is Rn(x)=f(n+1)(c)(n+1)!xn+1.
Therefore, the Lagrange's form for the remainder to bound the error in using the 5th  degree Maclaurin polynomial to approximate the given quantity is to find R5(x), that is
Rs(x)f(6)(c)6!x6

4Part (b) Step 2 Simplification

The first derivative of the function f(x)=ln(1+x) is calculated as.
f'(x)=ddx[ln(1+x)]=11+x

The second derivative of the function f(x)=ln(1+x) is calculated as,
f''(x)=ddx11+x=-1(1+x)2

The third derivative of the function f(x)=ln(1+x) is calculated as,
f''(x)=ddx-1(1+x)2=-ddx[1+x]-2=--2(1+x)3=2(1+x)3


5Part (b) Step 3

The fourth derivative of the function f(x)=ln(1+x) is calculated as,
fm''(x)=ddx2(1+x)3=2ddx(1+x)-3=2-3(1+x)4=-6(1+x)4

The fifth derlvatlve of the functlon f(x)=ln(1+x) is calculated as,
f(5)(x)=ddx-6(1+x)4=-6ddx(1+x)-4=-6·-4(1+x)-5=24(1+x)-5

6Part (b) Step 4

The sixth derivative of the function f(x)=ln(1+x)  is calculated as,

f(6)(x)=ddx24(1+x)5 =24ddx(1+x)-5=24·-5(1+x)-6=-120(1+x)-6

Substitute x=-0.3 into the sixth derivative of the function f(x)=ln(1+x) to calculate the bound for R5(x) as follows:
f(6)(0.7)=-120(0.3)-6
Substitute the value of f(6)(0.7)=-120(0.3)-6 into R5(x)f(6)(c)6!x6.
R5(x)-120(0.3)-6(-0.3)6720
Therefore, R5(x)16.

7Part (c) Step 1 Solution

Consider the function f(x)=ln(0.7).
The objective is to find the smallest value n so that the approximation by Maclaurin series is accurate within 10-6.
As ln(1+x)=x-x22+x33-x44+, therefore, ln(0.7)=-0.3-(0.3)22-(0.3)33- Hence, by trial and error, the smallest value of n so that the nth degree Maclaurin polynomial approximation to the given quantity is guaranteed to be accurate to within 10-6 is 999,999 .