Approximating mac/taylor series to z decimal accuracy

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To approximate the Maclaurin series for tan^{-1}(x) at x=1/2 to three decimal places, the remainder estimation theorem indicates that terms up to the fifth power should suffice. However, the book suggests using the seventh power for four decimal places. The discrepancy arises from determining the cutoff point for the series terms to achieve the desired precision. The Remainder Estimation Theorem requires knowledge of the (n+1)th derivative, which can complicate calculations. Understanding the behavior of successive terms is crucial for ensuring the approximation meets accuracy requirements.
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Homework Statement


Any problem. Ex Use the Mac series of tan^{-1}\left(x\right) to approximate at x=\frac{1}{2} to three decimal place accuracy.

Homework Equations


\sum^{\infty}_{k=0}(-1)^{k}\frac{x^{2k+1}}{2k+1}=x-\frac{x^3}{3}+\frac{x^5}{5}-...

The Attempt at a Solution



I found out using the remainder estimation theorem that all I need is up to the fifth power. So I put x into the expanded series to the fifth power (third term) and then I take three decimal places, rounding the third.
The books answer is four decimal places, fourth rounded and an answer that comes from using the seventh power (fourth term).

So, what am I doing wrong.. I have encountered this on several problems in the book.
Am I using my remainder estimation theorem wrong?

\frac{\left(\frac{1}{2}\right)^{n+1}}{n+1}<0.0005Using my calculator, I find at n=5, the left side is less then 0.0005
 
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Anyone able to shed some light?
 
frozenguy - Just look at the terms of the series. At what point will the next sucessive term yield precision beyond your target. That's your cut-off point.

Using the Remainder Estimation therom requires knowledge of the (n+1)th derivative of f(x), something that might be very messy for your function, and will not (in this case) help you solve for the desired value of n (unless you try several trial-by-error cases).

Also, please recall/review, the Remainder Therom is

<br /> R_{n}(x) = \frac{f^{(n+1)}(\xi)}{(n+1)!} \cdot (x-a)^{(n+1)}<br />

where \xi=\xi(x) and here a= 0.
 
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