Math Problem Statement

(a) Find the approximations T4 and M4 for the following integral. (Round your answers to six decimal places.) 2

1 31e1⁄x dx T4

Correct: Your answer is correct. M4

Correct: Your answer is correct. (b) Estimate the errors in the approximations of part (a) using the smallest possible value for K according to the theorem about error bounds for trapezoidal and midpoint rules. (Round your answers to six decimal places.) |ET| ≤ Correct: Your answer is correct. |EM| ≤ Correct: Your answer is correct. (c) Using the values of K from part (b), how large do we have to choose n so that the approximations Tn and Mn to the integral in part (a) are accurate to within 0.0001?

Solution

To approach the problem, we will break it down into parts (a), (b), and (c), and follow a structured method to solve each.

(a) Approximating the integral using the Trapezoidal Rule (T4T_4) and Midpoint Rule (M4M_4):

The integral given is:

I=1231e1/xxdxI = \int_1^2 \frac{31e^{1/x}}{x} \, dx

We approximate this using n=4n = 4 subintervals.

Trapezoidal Rule (T4T_4):

The trapezoidal rule formula for nn subintervals is:

Tn=ba2n[f(x0)+2f(x1)+2f(x2)++2f(xn1)+f(xn)]T_n = \frac{b - a}{2n} \left[ f(x_0) + 2f(x_1) + 2f(x_2) + \cdots + 2f(x_{n-1}) + f(x_n) \right]

For n=4n = 4, the width of each subinterval is h=214=0.25h = \frac{2 - 1}{4} = 0.25. The points x0,x1,x2,x3,x4x_0, x_1, x_2, x_3, x_4 are:

x0=1,x1=1.25,x2=1.5,x3=1.75,x4=2x_0 = 1, \, x_1 = 1.25, \, x_2 = 1.5, \, x_3 = 1.75, \, x_4 = 2

Substitute these into the formula for T4T_4, compute the function values at each point, and sum them to get the approximation T4T_4.

Midpoint Rule (M4M_4):

The midpoint rule formula for nn subintervals is:

Mn=ban[f(x0+x12)+f(x1+x22)++f(xn1+xn2)]M_n = \frac{b - a}{n} \left[ f \left( \frac{x_0 + x_1}{2} \right) + f \left( \frac{x_1 + x_2}{2} \right) + \cdots + f \left( \frac{x_{n-1} + x_n}{2} \right) \right]

For n=4n = 4, the midpoints are:

m1=1.125,m2=1.375,m3=1.625,m4=1.875m_1 = 1.125, \, m_2 = 1.375, \, m_3 = 1.625, \, m_4 = 1.875

Substitute these values into the formula for M4M_4, compute the function values at the midpoints, and sum them to get the approximation M4M_4.

(b) Estimating errors using the error bounds for Trapezoidal and Midpoint Rules:

To estimate the errors, we use the following error bounds for the Trapezoidal and Midpoint rules:

ETK(ba)312n2|E_T| \leq \frac{K(b-a)^3}{12n^2} EMK(ba)324n2|E_M| \leq \frac{K(b-a)^3}{24n^2}

Where KK is an upper bound for f(x)|f''(x)| on the interval [a,b][a, b].

Step 1: Find f(x)f(x) and f(x)f''(x):

Given that f(x)=31e1/xxf(x) = \frac{31e^{1/x}}{x}, we need to compute its second derivative f(x)f''(x) and find the maximum value of f(x)|f''(x)| on [1,2][1, 2].

Step 2: Find KK (the smallest possible value):

Compute f(x)|f''(x)| and find the maximum value on the interval [1,2][1, 2]. This will give us the value of KK.

Step 3: Plug values into error bounds:

Using the value of KK, substitute into the error formulas for ETE_T and EME_M to estimate the errors in the approximations T4T_4 and M4M_4.

(c) Determining the required nn for desired accuracy:

We are asked to find how large nn must be for the approximations TnT_n and MnM_n to be accurate within 0.0001. We use the error bounds from part (b):

K(ba)312n20.0001\frac{K(b-a)^3}{12n^2} \leq 0.0001 K(ba)324n20.0001\frac{K(b-a)^3}{24n^2} \leq 0.0001

Solve for nn in both cases. The larger value of nn will be the required number of subintervals to achieve the desired accuracy.

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Math Problem Analysis

Mathematical Concepts

Calculus
Numerical Integration
Error Estimation
Trapezoidal Rule
Midpoint Rule

Formulas

Trapezoidal Rule: T_n = (b - a) / (2n) [f(x_0) + 2f(x_1) + ... + f(x_n)]
Midpoint Rule: M_n = (b - a) / n [f((x_0 + x_1)/2) + ... + f((x_{n-1} + x_n)/2)]
Error bounds for Trapezoidal Rule: |E_T| ≤ (K(b - a)^3) / (12n^2)
Error bounds for Midpoint Rule: |E_M| ≤ (K(b - a)^3) / (24n^2)

Theorems

Error Bound Theorem for Trapezoidal and Midpoint Rules

Suitable Grade Level

College Level (Calculus I)