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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.R.62

Approximating real numbers Use an appropriate Taylor series to find the first four nonzero terms of an infinite series that is equal to the following numbers. There is more than one way to choose the center of the series.


sinh (-1)

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Recall the definition of the hyperbolic sine function: \(\sinh x = \frac{e^{x} - e^{-x}}{2}\).
Use the Taylor series expansion of \(\sinh x\) centered at 0 (Maclaurin series), which is given by \(\sinh x = \sum_{n=0}^{\infty} \frac{x^{2n+1}}{(2n+1)!}\).
Write out the first four nonzero terms of this series explicitly: \(x + \frac{x^{3}}{3!} + \frac{x^{5}}{5!} + \frac{x^{7}}{7!}\).
Substitute \(x = -1\) into the series to approximate \(\sinh(-1)\), remembering to keep the powers and factorials intact without calculating the numerical values.
Express the resulting series as \(-1 + \frac{(-1)^{3}}{3!} + \frac{(-1)^{5}}{5!} + \frac{(-1)^{7}}{7!}\), which are the first four nonzero terms of the infinite series for \(\sinh(-1)\).

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Key Concepts

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

Taylor Series Expansion

A Taylor series represents a function as an infinite sum of terms calculated from the derivatives at a single point called the center. It approximates functions near this center, allowing complex functions to be expressed as polynomials. Choosing the center wisely can simplify calculations and improve convergence.
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Hyperbolic Sine Function (sinh)

The hyperbolic sine function, sinh(x), is defined as (e^x - e^(-x))/2. It is an odd function with a well-known Taylor series expansion around zero, involving only odd powers of x. Understanding its properties helps in constructing its series representation accurately.
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Finding Nonzero Terms in Series

When approximating functions using Taylor series, identifying the first few nonzero terms is crucial for an accurate approximation. This involves computing derivatives at the center and recognizing which terms vanish due to the function's symmetry or properties, ensuring the series reflects the function's behavior.
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