= In this problem, we will approximate the value of the definite integral I the Trapezoid Rule. [ Here are the error bound for the Trapezoid Rule approximation and the second derivative of the function f(x) = ³. da using M(2)(b − a)³ |Tn-I\< 12n² where M(2) is an upper bound for f"(x)| on [0,1]. (a) Find a practical upper bound for f"(x)], 0≤x≤ 1. (b) How many slices n should we use to guarantee that the error of approximating I using the Trapezoid Rule is no bigger than 10-4? and f"(x) = 3xe³ (2+3x³)

Calculus: Early Transcendentals
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Author:James Stewart
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Chapter1: Functions And Models
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In this problem, we will approximate the value of the definite integral I = = [₁²ea²
0
the Trapezoid Rule.
M(2)(b − a)³
12n²
Here are the error bound for the Trapezoid Rule approximation and the second derivative of the
function f(x) = e³.
and
f"(x) = 3.xex³
6x3
(2+3x³)
dx using
In - I| ≤
where M(2) is an upper bound for
f"(x)| on [0,1].
(a) Find a practical upper bound for f"(x)], 0≤ x ≤ 1.
(b) How many slices n should we use to guarantee that the error of approximating I using the
Trapezoid Rule is no bigger than 10-4?
Transcribed Image Text:In this problem, we will approximate the value of the definite integral I = = [₁²ea² 0 the Trapezoid Rule. M(2)(b − a)³ 12n² Here are the error bound for the Trapezoid Rule approximation and the second derivative of the function f(x) = e³. and f"(x) = 3.xex³ 6x3 (2+3x³) dx using In - I| ≤ where M(2) is an upper bound for f"(x)| on [0,1]. (a) Find a practical upper bound for f"(x)], 0≤ x ≤ 1. (b) How many slices n should we use to guarantee that the error of approximating I using the Trapezoid Rule is no bigger than 10-4?
Expert Solution
Step 1

Concept:

One of the significant integration rules is the trapezoidal rule. Because little trapezoids rather than rectangles are used to divide the overall area when the area under the curve is calculated, this shape is known as a trapezoid. This rule uses the linear approximations of the functions to approximate the definite integrals.

The technique of numerical analysis mostly employs the trapezoidal rule. We can also utilise Riemann sums, which calculate the area under the curve using tiny rectangles, to evaluate the definite integrals.

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