Newton-Cotes formula using Hermite interpolation

In summary, the standard way to solve this problem is to use the Newton-Cotes formula for integration. This involves approximating the function using a polynomial and then integrating the polynomial over the given interval. Alternatively, the trapezoidal rule or Simpson's rule can also be used, which are specific cases of the Newton-Cotes formula. These methods may provide more accurate results.
  • #1
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Homework Statement



Suppose we are given [tex]f_0, f_1, f'_0 f'_1[/tex] of an unknown function. We want to integrate the region between [tex]x_0 and x_1[/tex] using a Newton-Cotes formula.

Homework Equations



Wat is the 'standard' way to solve such a problem?

The Attempt at a Solution



I started with the standard Lagrange interpolation formula for 4 points x0, x1, x2 and x3, and I thought that if we let x2 -> x0 and x3 -> x1, then we remove the unknown x2 and x3, and we introduce the known f'_0 and f'_1. It would then be only a matter of integration to find the N.C. formula. However, I am not sure if this is the way to go to solve this problem?
 
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  • #2

Thank you for your question. The standard way to solve this problem is to use the Newton-Cotes formula for integration. This formula is based on the idea of approximating the function using a polynomial and then integrating the polynomial over the given interval. The formula involves evaluating the function at equally spaced points within the interval and then combining these values with a set of weights to approximate the integral.

In your case, you can use the given values of f_0, f_1, f'_0 and f'_1 to construct a polynomial of degree 3. Then, you can use the Newton-Cotes formula for integration to approximate the integral over the given interval. This will give you an approximate value for the integral.

Alternatively, you can also use the trapezoidal rule or Simpson's rule, which are specific cases of the Newton-Cotes formula, to approximate the integral. These methods may provide more accurate results depending on the nature of the function and the given data.

I hope this helps. Please let me know if you have any further questions.
 

1. What is the Newton-Cotes formula using Hermite interpolation?

The Newton-Cotes formula using Hermite interpolation is a method of numerical integration, which is used to approximate the value of a definite integral by using a series of data points. It is an extension of the Newton-Cotes formula, which uses equally spaced data points, to include the use of Hermite polynomials for more accurate results.

2. How does the Newton-Cotes formula using Hermite interpolation work?

The formula works by dividing the interval of integration into smaller sub-intervals and using the values of the function at the endpoints of each sub-interval to construct an interpolating polynomial. This polynomial is then integrated and summed over all the sub-intervals to approximate the value of the definite integral.

3. What are the advantages of using Hermite interpolation in the Newton-Cotes formula?

Hermite interpolation allows for a more accurate approximation of the definite integral compared to the traditional Newton-Cotes formula. This is because Hermite polynomials can closely match the behavior of the function being integrated, resulting in a more precise estimation of the integral.

4. Are there any limitations to using the Newton-Cotes formula with Hermite interpolation?

One limitation of this method is that it can only be used for functions that are smooth and well-behaved over the interval of integration. It may also require a larger number of sub-intervals to achieve a desired level of accuracy compared to other numerical integration methods.

5. How is the accuracy of the Newton-Cotes formula with Hermite interpolation evaluated?

The accuracy of this formula can be evaluated by comparing the estimated value of the definite integral to the exact value, if known. This can be done by calculating the error, or the difference between the two values, and comparing it to a desired tolerance level. The accuracy can also be improved by increasing the number of sub-intervals used in the formula.

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