Skip to main content
Ch. 8 - Techniques of Integration
Hass - Thomas' Calculus 15th Edition
Hass15th EditionThomas' CalculusISBN: 9780137616077Non è quello che usi tu?Cambia libro di testo
Capitolo 8, Problema 8.7.14a

In Exercises 11–22, estimate the minimum number of subintervals needed to approximate the integrals with an error of magnitude less than 10^-4 by (a) the Trapezoidal Rule (The integrals in Exercises 11–18 are the integrals from Exercises 1–8.)
∫ from -2 to 0 of (x² - 1) dx

Guida verificata passo dopo passo
1
Identify the function to be integrated: \(f(x) = x^{2} - 1\) over the interval \([-2, 0]\).
Recall the error bound formula for the Trapezoidal Rule: \(|E_{T}| \leq \frac{(b - a)^{3}}{12 n^{2}} \max_{a \leq x \leq b} |f''(x)|\), where \(n\) is the number of subintervals.
Compute the second derivative of the function: \(f''(x) = \frac{d^{2}}{dx^{2}}(x^{2} - 1) = 2\).
Determine the maximum absolute value of \(f''(x)\) on the interval \([-2, 0]\): since \(f''(x) = 2\) is constant, \(\max |f''(x)| = 2\).
Set the error bound less than the desired tolerance \(10^{-4}\) and solve for $n\(: \[ \frac{(0 - (-2))^{3}}{12 n^{2}} \times 2 < 10^{-4} \implies \frac{8}{12 n^{2}} \times 2 < 10^{-4} \implies \frac{16}{12 n^{2}} < 10^{-4} \]. Then solve this inequality for \)n$ to find the minimum number of subintervals needed.

Risposta video verificata per un problema simile:

Questa soluzione video è stata consigliata dai nostri tutor come utile per risolvere questo problema.
Durata del video:
8m

Concetti chiave

Ecco i concetti essenziali che devi comprendere per rispondere correttamente alla domanda.

Trapezoidal Rule

The Trapezoidal Rule is a numerical method to approximate definite integrals by dividing the interval into subintervals and approximating the area under the curve as trapezoids. The sum of these trapezoidal areas estimates the integral, with accuracy improving as the number of subintervals increases.
Video consigliato:
5:50
Power Rules

Error Bound for the Trapezoidal Rule

The error bound for the Trapezoidal Rule estimates the maximum possible error in the approximation. It depends on the length of the interval, the number of subintervals, and the maximum value of the second derivative of the function on the interval. This bound helps determine how many subintervals are needed to achieve a desired accuracy.
Video consigliato:
Percorso guidato
04:57
Determining Error and Relative Error

Second Derivative and Its Role in Error Estimation

The second derivative of the function measures its concavity and affects the error in the Trapezoidal Rule. The maximum absolute value of the second derivative on the interval is used in the error bound formula, indicating how 'curved' the function is and influencing the number of subintervals required for a given error tolerance.
Video consigliato:
06:02
The Second Derivative Test: Finding Local Extrema