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Ch. 11 - Power Series
Briggs - Calculus: Early Transcendentals 3rd Edition
Briggs3rd EditionCalculus: Early TranscendentalsISBN: 9780136847243Not the one you use?Change textbook
Chapter 11, Problem 11.4.3

How would you approximate e⁻⁰ᐧ⁶ using the Taylor series for eˣ?

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Recall the Taylor series expansion for the exponential function \(e^{x}\) centered at 0, which is given by: \[e^{x} = \sum_{n=0}^{\infty} \frac{x^{n}}{n!} = 1 + x + \frac{x^{2}}{2!} + \frac{x^{3}}{3!} + \cdots\]
To approximate \(e^{-0.6}\), substitute \(x = -0.6\) into the series: \[e^{-0.6} = 1 + (-0.6) + \frac{(-0.6)^{2}}{2!} + \frac{(-0.6)^{3}}{3!} + \cdots\]
Decide how many terms of the series you want to use for the approximation. More terms generally mean a more accurate approximation. For example, you might use the first 4 or 5 terms.
Calculate each term up to the chosen number of terms by raising \(-0.6\) to the appropriate power and dividing by the factorial of the term's index. Remember that factorial \(n!\) is the product of all positive integers up to \(n\).
Sum all the calculated terms together to get the approximate value of \(e^{-0.6}\). This sum will be your Taylor series approximation.

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Key Concepts

Here are the essential concepts you must grasp in order to answer the question correctly.

Taylor Series Expansion

The Taylor series expresses a function as an infinite sum of terms calculated from the function's derivatives at a single point, usually zero. For eˣ, the series is ∑(xⁿ/n!) from n=0 to ∞, allowing approximation of eˣ by summing a finite number of terms.
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Substitution of Negative Exponents

To approximate e⁻⁰·⁶, substitute x = -0.6 into the Taylor series for eˣ. This involves raising -0.6 to successive powers and dividing by factorial terms, which accounts for the alternating signs and magnitude changes in the series.
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Error and Convergence of the Series

The accuracy of the approximation depends on the number of terms used. Taylor series for eˣ converges for all real x, and truncating after several terms yields a close estimate. Understanding the remainder term helps gauge the approximation's precision.
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