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Ch. 11 - Power Series
Briggs - Calculus: Early Transcendentals 3rd Edition
Briggs3rd EditionCalculus: Early TranscendentalsISBN: 9780136847243Non è quello che usi tu?Cambia libro di testo
Capitolo 11, Problema 11.1.37

{Use of Tech} Approximations with Taylor polynomials


a. Approximate the given quantities using Taylor polynomials with n = 3.


b. Compute the absolute error in the approximation, assuming the exact value is given by a calculator.


√1.06

Guida verificata passo dopo passo
1
Identify the function to approximate: here, we want to approximate \( f(x) = \sqrt{x} \) near a point where the function and its derivatives are easy to compute. A good choice is \( a = 1 \) because \( \sqrt{1} = 1 \).
Write the Taylor polynomial of degree 3 for \( f(x) \) centered at \( a = 1 \). The general formula is: \[ T_3(x) = f(a) + f'(a)(x - a) + \frac{f''(a)}{2!}(x - a)^2 + \frac{f'''(a)}{3!}(x - a)^3 \] Calculate the first, second, and third derivatives of \( f(x) = \sqrt{x} = x^{1/2} \).
Evaluate each derivative at \( x = 1 \) to find \( f(1), f'(1), f''(1), \) and \( f'''(1) \). Substitute these values into the Taylor polynomial formula.
Substitute \( x = 1.06 \) into the Taylor polynomial \( T_3(x) \) to approximate \( \sqrt{1.06} \). This gives the approximate value using the third-degree Taylor polynomial.
To find the absolute error, calculate the exact value of \( \sqrt{1.06} \) using a calculator, then subtract the Taylor polynomial approximation from this exact value. The absolute error is: \[ \text{Absolute Error} = |\sqrt{1.06} - T_3(1.06)| \]

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Taylor polynomials approximate functions near a point by using derivatives at that point. For n=3, the polynomial includes terms up to the cubic degree, providing a close estimate of the function's value near the expansion point.
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The absolute error measures the difference between the exact value and the approximation. Calculating this helps assess the accuracy of the Taylor polynomial approximation.
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Choosing the expansion point (often near the value to approximate) is crucial for accuracy. Understanding the domain and behavior of the function, like √x near x=1, ensures the Taylor polynomial converges well.
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