Help with Taylor's Theorem to obtain error of approximation

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SUMMARY

This discussion focuses on using Taylor's Theorem to determine the upper bound for the error of the approximation of \( e^{\frac{1}{2}} \). The approximation is expressed as \( 1 + \frac{1}{2} + \frac{{\left( {\frac{1}{2}} \right)^2 }}{{2!}} + \frac{{\left( {\frac{1}{2}} \right)^3 }}{{3!}} + R_3 \left( {\frac{1}{2}} \right) \). The upper bound for the error is calculated as \( \frac{{e^{\frac{1}{2}} }}{{384}} \approx 0.004 \), while the actual error is noted to be 0.0029. This confirms that the approximation is accurate within the calculated bounds.

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I need to use Taylor's Theorem to obtain the upper bound for the error of the approximation on the following

[tex] e^{\frac{1}{2}} \approx 1 + \frac{1}{2} + \frac{{\left( {\frac{1}{2}} \right)^2 }}{{2!}} + \frac{{\left( {\frac{1}{2}} \right)^3 }}{{3!}}[/tex]Here is an example problem in the textbook I am following.
http://img157.imageshack.us/img157/8564/100027rh.jpg Here is my work. Am I on the right track?[tex] e^{\frac{1}{2}} = 1 + \frac{1}{2} + \frac{{\left( {\frac{1}{2}} \right)^2 }}{{2!}} + \frac{{\left( {\frac{1}{2}} \right)^3 }}{{3!}} + R_3 \left( {\frac{1}{2}} \right)[/tex][tex] e^{\frac{1}{2}} = 1 + \frac{1}{2} + \frac{{\left( {\frac{1}{2}} \right)^2 }}{{2!}} + \frac{{\left( {\frac{1}{2}} \right)^3 }}{{3!}} + \frac{{f^4 (z)}}{{4!}}\left( {\frac{1}{2}} \right)^4 [/tex]where [tex]0 < z < \frac{1}{2}[/tex]

[tex]f^4 (z) = e^z[/tex][tex] \frac{{e^0 }}{{4!}}\left( {\frac{1}{2}} \right)^4 < \frac{{e^z }}{{4!}}\left( {\frac{1}{2}} \right)^4 < \frac{{e^{\frac{1}{2}} }}{{4!}}\left( {\frac{1}{2}} \right)^4 [/tex]

So the upper bound for the error on the approximation of [tex]\[<br /> e^{\frac{1}{2}}[/tex] is

[tex] \frac{{e^{\frac{1}{2}} }}{{4!}}\left( {\frac{1}{2}} \right)^4 = \frac{{e^{\frac{1}{2}} }}{{384}} \approx 0.004[/tex]
 
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That works. Estimating the error numerically needs a value for e1/2 which you want to evaluate, of course, but luckily it's just a small correction.

For comparison: The actual error is 0.0029.
 

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