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Ch. 4 - Applications of the Derivative
Briggs - Calculus: Early Transcendentals 3rd Edition
Briggs3rd EditionCalculus: Early TranscendentalsISBN: 9780136847243Non è quello che usi tu?Cambia libro di testo
Tutti i libri di testoBriggs 3rd EditionCh. 4 - Applications of the DerivativeProblema 4.6.37
Capitolo 4, Problema 4.6.37

Use linear approximations to estimate the following quantities. Choose a value of a to produce a small error.
1/203

Guida verificata passo dopo passo
1
Identify the function you want to approximate. In this case, we are approximating f(x) = 1/x at x = 203.
Choose a value of 'a' close to 203 where the function is easy to compute. A good choice is a = 200, since 1/200 is straightforward to calculate.
Find the derivative of the function f(x) = 1/x. The derivative is f'(x) = -1/x^2.
Use the linear approximation formula: L(x) = f(a) + f'(a)(x - a). Substitute a = 200 into the formula.
Calculate L(203) using the values from the previous steps: L(203) = 1/200 + (-1/200^2)(203 - 200). This will give you the linear approximation of 1/203.

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Linear Approximation

Linear approximation is a method used to estimate the value of a function near a given point using the tangent line at that point. It is based on the idea that a function can be closely approximated by a linear function when the input is near a specific value. The formula for linear approximation is f(a) + f'(a)(x - a), where f'(a) is the derivative at point a.
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Linearization

Derivatives

The derivative of a function at a point measures the rate at which the function's value changes as its input changes. It is a fundamental concept in calculus that provides information about the slope of the tangent line to the function at that point. Understanding derivatives is crucial for applying linear approximation, as they are used to determine the slope of the tangent line.
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Derivatives

Choosing a Value for a

Selecting an appropriate value for 'a' in linear approximation is essential for minimizing error in the estimate. Ideally, 'a' should be a value close to the point of interest (in this case, 203) where the function is easy to evaluate. A well-chosen 'a' leads to a more accurate linear approximation, as the tangent line will closely follow the curve of the function near that point.
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Average Value of a Function
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