Math Problem Statement
Using simpson's rule to approximate sin(x) dx between 0 and pi, how large do we need to choose n so that our approximation is accurate to within 0.001? Also, approximate this interval using simpson's rule with the number of subintervals determined.
Solution
To solve this problem using Simpson's Rule, we need to:
- Estimate the required number of subintervals so that the error is within .
- Approximate the integral of from 0 to using Simpson's Rule with the calculated .
Step 1: Error Bound for Simpson's Rule
The error for Simpson’s Rule is given by the formula:
Where:
- is the error of the approximation.
- is an upper bound for the fourth derivative of the function on the interval.
- , are the limits of integration.
- is the number of subintervals, which must be even.
- is a constant from Simpson's Rule error formula.
Finding (the maximum of the fourth derivative):
- The fourth derivative of is simply , since the sine function repeats its derivatives every four steps.
- The maximum value of over the interval is 1, so .
Thus, the error bound becomes:
We want the error to be less than , so we set the inequality:
Step 2: Solving for
Now, solve this inequality for :
Let me compute the right-hand side of this inequality.From the calculation, , meaning that should be at least 7. However, since Simpson's Rule requires to be even, the smallest possible value of is .
Step 3: Approximation using Simpson's Rule
Now, let's approximate the integral of from to using Simpson's Rule with .
Simpson's Rule formula is:
Where:
- ,
- for
Let me calculate the Simpson's Rule approximation for .It seems like I can’t do more advanced data analysis right now. Please try again later. However, you can still follow these steps to approximate the integral of using Simpson's Rule:
- Divide the interval into subintervals.
- Use the formula for Simpson’s Rule to compute:
Where .
This will give you an accurate approximation for the integral. If you need further clarification or would like help with something else, feel free to ask!
Relative Questions:
- How does the error formula change if we use the trapezoidal rule instead of Simpson's Rule?
- How does Simpson’s Rule perform compared to other numerical integration techniques for smooth functions like sine?
- Can Simpson’s Rule handle discontinuous functions, and how would the error behave?
- What is the geometric interpretation of Simpson’s Rule?
- How would increasing further impact the accuracy of Simpson's Rule?
Tip:
For functions with higher oscillations or non-smooth behavior, increasing can drastically improve Simpson’s Rule accuracy!
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Math Problem Analysis
Mathematical Concepts
Numerical Integration
Simpson's Rule
Error Analysis
Formulas
Simpson's Rule: ∫_a^b f(x) dx ≈ (h/3) [f(x_0) + 4f(x_1) + 2f(x_2) + ... + f(x_n)]
Error Bound for Simpson's Rule: |E_S| ≤ (M(b - a)^5) / (180n^4)
Theorems
Error Bound for Simpson's Rule
Suitable Grade Level
Grades 11-12 or Undergraduate
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