Math Problem Statement

How large should n be to guarantee that the Simpson's Rule approximation to 1 17ex2 dx

0 is accurate to within 0.00001? n ≥

Solution

To determine the value of nn that guarantees the Simpson's Rule approximation to the integral

I=01117ex2dxI = \int_0^1 \frac{1}{17} e^{x^2} \, dx

is accurate within 0.000010.00001, we can use the error bound for Simpson's Rule.

The error bound for Simpson's Rule is given by the formula:

ES=M(ba)5180n4E_S = \frac{M(b - a)^5}{180n^4}

where:

  • ESE_S is the error in the approximation,
  • MM is the maximum value of the fourth derivative of the integrand over the interval [a,b][a, b],
  • nn is the number of subintervals (which must be even),
  • aa and bb are the bounds of the integration.

Step-by-Step Solution:

  1. Identify the integrand: The function is f(x)=117ex2f(x) = \frac{1}{17} e^{x^2}, so the integrand is f(x)=ex2/17f(x) = e^{x^2} / 17.

  2. Find the fourth derivative: We need to compute the fourth derivative of f(x)=ex2/17f(x) = e^{x^2} / 17. Let's first find the derivatives of ex2e^{x^2}.

    • f(x)=2xex2f'(x) = 2x e^{x^2},
    • f(x)=2ex2+4x2ex2f''(x) = 2 e^{x^2} + 4x^2 e^{x^2},
    • f(3)(x)=8xex2+8x3ex2f^{(3)}(x) = 8x e^{x^2} + 8x^3 e^{x^2},
    • f(4)(x)=8ex2+32x2ex2+8x4ex2f^{(4)}(x) = 8 e^{x^2} + 32x^2 e^{x^2} + 8x^4 e^{x^2}.
  3. Determine the maximum value of the fourth derivative: To ensure a safe bound for the error, we can estimate the maximum value of f(4)(x)|f^{(4)}(x)| over the interval [0,1][0, 1]. For simplicity, we can approximate that f(4)(x)f^{(4)}(x) attains its maximum at x=1x = 1, so we can evaluate f(4)(1)f^{(4)}(1).

    f(4)(1)=8e12+3212e12+814e12=48ef^{(4)}(1) = 8 e^{1^2} + 32 \cdot 1^2 e^{1^2} + 8 \cdot 1^4 e^{1^2} = 48 e Since e2.718e \approx 2.718, we get: f(4)(1)48×2.718=130.464f^{(4)}(1) \approx 48 \times 2.718 = 130.464 Therefore, we use M130.464M \approx 130.464.

  4. Use the error formula: The error bound formula is:

    ESM(ba)5180n4E_S \leq \frac{M(b - a)^5}{180n^4}

    Substituting the known values (b=1b = 1, a=0a = 0, M130.464M \approx 130.464, and ES0.00001E_S \leq 0.00001):

    0.00001130.464×(10)5180n40.00001 \geq \frac{130.464 \times (1 - 0)^5}{180n^4}

    Simplifying:

    0.00001130.464180n40.00001 \geq \frac{130.464}{180n^4}

    Solving for n4n^4:

    n4130.464180×0.00001=130.4640.001872536.67n^4 \geq \frac{130.464}{180 \times 0.00001} = \frac{130.464}{0.0018} \approx 72536.67

    Taking the fourth root:

    n72536.67418.5n \geq \sqrt[4]{72536.67} \approx 18.5

  5. Conclusion: Since nn must be even, the smallest integer nn is n=20n = 20.

Therefore, the value of nn should be at least 20 to guarantee that the Simpson's Rule approximation is accurate to within 0.00001.

Would you like any further details or explanations? Here are some related questions for exploration:

  1. How do you find the error bound for the Trapezoidal Rule?
  2. What are the practical applications of Simpson's Rule in numerical integration?
  3. How does increasing nn improve the accuracy of the approximation?
  4. How do we compute the exact value of the integral 01ex2dx\int_0^1 e^{x^2} \, dx?
  5. What is the relationship between the degree of the polynomial and the accuracy of Simpson's Rule?

Tip: To ensure more accurate numerical approximations, always verify that nn is sufficiently large and that the integrand is smooth over the interval of integration.

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Math Problem Analysis

Mathematical Concepts

Numerical Integration
Simpson's Rule
Error Analysis
Derivatives

Formulas

Simpson's Rule error bound: E_S = (M(b - a)^5) / (180n^4)

Theorems

Simpson's Rule Error Bound Theorem

Suitable Grade Level

College/University (Calculus Level)