Math Problem Statement
Following from the Theorem on closed Newton-Cotes formulas, show that Simpson’s Three-Eights rule is given by Z x3 x0 f (x) dx = 3h 8 [f (x0) + 3f (x1) + 3f (x2) + f (x3)]−3h5 80 f (4)(ξ), where x0 < ξ < x3,
Solution
Derivation of Simpson's Three-Eights Rule
To derive the formula for Simpson's Three-Eights Rule using the closed Newton-Cotes theorem, we follow these steps:
1. Setting Up the Problem
We aim to approximate the integral:
using a polynomial interpolant for the function over four equally spaced points: . The step size is denoted as , so:
2. Interpolating Polynomial
We use a cubic Lagrange polynomial to interpolate at :
The integral of is approximated by integrating this cubic polynomial:
3. Newton-Cotes Coefficients
The Newton-Cotes theorem provides weights for the integrand values . Using the theorem for , the formula is:
where and is the fourth derivative of , representing the error term.
4. Deriving the Formula
To see how the formula is derived:
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Integration of Basis Polynomials: The Lagrange basis polynomials for are constructed, and their coefficients are determined.
where the weights are determined from the basis polynomials.
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Weights: The weights are calculated by integrating each basis polynomial:
This leads to:
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Error Term: The error term is derived by subtracting the integral of from , resulting in the remainder term:
where is the fourth derivative of evaluated at some point .
5. Final Formula
Combining the approximation and the error term, we arrive at the Simpson’s Three-Eights Rule:
where .
Questions for Further Study
- How do Newton-Cotes formulas change for higher-order interpolants?
- Why is Simpson's Three-Eights Rule considered more accurate than the Trapezoidal Rule for cubic functions?
- Can the error term be reduced without increasing the number of points in the formula?
- How does the step size influence the accuracy of Simpson's Three-Eights Rule?
- Can Simpson’s Three-Eights Rule be generalized to unevenly spaced points?
Tip
When using numerical integration, always consider the smoothness of the function and choose a method with an error term suitable for its behavior.
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Math Problem Analysis
Mathematical Concepts
Numerical Integration
Simpson’s Three-Eights Rule
Polynomial Interpolation
Error Analysis in Numerical Methods
Formulas
Integral Approximation Formula: ∫(x0 to x3) f(x) dx ≈ (3h/8)[f(x0) + 3f(x1) + 3f(x2) + f(x3)]
Error Term: -3h^5/80 * f^(4)(ξ)
Theorems
Newton-Cotes Theorem
Suitable Grade Level
Undergraduate - First Year Calculus or Numerical Methods