An iterative quotient integration

In summary, iterative quotient integration is a numerical method for approximating the definite integral of a function over a given interval. It differs from other integration methods by not requiring an explicit formula for the function and relying only on its values at specific points within the interval. Its advantages include simplicity and accuracy, but it may be more time-consuming and less suitable for certain types of functions. It is recommended for use when an explicit formula is not available or when high accuracy is needed.
  • #1
Wu Xiaobin
27
0
I have got this integration:
[itex]\int_{-1}^{1}\frac{x^n}{(1+w^2-P^2-2wx+p^2x^2)^2}dx[/itex]
And at the same time, I can provide several results when n is small.
For example:
when [itex]n=1[/itex], the result is
[itex]\frac{2w}{(1-P^2)(1-w^2)}[/itex]
when [itex]n=2[/itex], the result is
[itex]-\frac{2(1-P^2-w^2)}{P^2(1-P^2)(1-w^2)}+\frac{\Delta}{P^3}[/itex]
when [itex]n=3[/itex], the result is
[itex]\frac{2w(3w^2-2w^2P^2+P^4+2P^2-3)}{P^4(1-P^2)(1-w^2)}+\frac{3w\Delta}{P^5}[/itex]
where
[itex]\Delta=\sinh^{-1}{\frac{P^2+w}{((1-P^2)(P^2-w^2))^{1/2}}}+\sinh^{-1}{\frac{P^2-w}{((1-P^2)(P^2-w^2))^{1/2}}}[/itex]
I have tried it in Mathematica and Maple, However the software can't figure it out.
Does anyone feel familiar with this kind of integration and give me some suggestion?

Look forward to your kind reply!
Sincerely Yours
Jacky Wu
 
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  • #2


Dear Jacky Wu,

Thank you for sharing your integration problem with us. It seems like you have already made some progress by obtaining several results for different values of n. This can be a good starting point for solving the integration.

One approach you can try is to use the method of partial fractions. This involves breaking down the integrand into smaller fractions that are easier to integrate. You can then use the results you have obtained for n=1,2,3 to determine the coefficients of these smaller fractions.

Another approach is to use integration by parts. This method involves splitting the integrand into two parts and using the formula \int u dv = uv - \int v du. You can choose the parts in such a way that the resulting integral is easier to solve.

If these methods do not work, you can also try using trigonometric substitutions or other advanced techniques such as contour integration or residues.

I would also recommend reaching out to a colleague or a professor who specializes in integration or to a math forum where you can get more specific and detailed guidance on solving your integration. Good luck!
 

1. What is iterative quotient integration?

Iterative quotient integration is a numerical method used to approximate the definite integral of a function over a given interval. It involves dividing the interval into smaller sub-intervals and calculating the area under the curve for each sub-interval. The final result is the sum of all these areas, which provides an estimate of the integral.

2. How does iterative quotient integration differ from other integration methods?

Unlike other integration methods such as the trapezoidal rule or Simpson's rule, iterative quotient integration does not require an explicit formula for the function being integrated. It only relies on the values of the function at specific points within the interval. This makes it a more versatile method that can be applied to a wider range of functions.

3. What are the advantages of using iterative quotient integration?

One advantage of iterative quotient integration is its simplicity. It is relatively easy to implement and does not require advanced mathematical knowledge. Additionally, it can provide a more accurate estimate of the integral compared to other numerical methods, especially for functions with sharp curves or discontinuities.

4. Are there any limitations or drawbacks to using iterative quotient integration?

One limitation of iterative quotient integration is that it can be more time-consuming compared to other numerical integration methods. This is because it requires a larger number of sub-intervals to achieve a more accurate estimate. Additionally, it may not work well for highly oscillatory functions or functions with multiple discontinuities.

5. When should iterative quotient integration be used?

Iterative quotient integration is a good choice when an explicit formula for the function being integrated is not available or when other integration methods are not suitable. It is also useful when a high level of accuracy is required, and the time for computation is not a significant factor.

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