Chebyshev Density and Potential/Runge Phenomenon

In summary, the conversation discusses proving that the integral from -1 to 1 of p(x)*log|z-x| dx equals log|z - sqrt(z^2 -1)| / 2, where p(x) = 1 / (pi*sqrt(1-x^2)). This is related to Chebyshev interpolation and involves manipulating the equation using a substitution method. However, there is uncertainty about the correctness of the equation from the text being referenced.
  • #1
brru25
29
0

Homework Statement



Show that the integral from -1 to 1 of p(x)*log|z-x| dx equals log|z - sqrt(z^2 -1)| / 2, where p(x) = 1 / (pi*sqrt(1-x^2))

2. Other information

This topic comes from Chebyshev interpolation. p(x) is the Chebyshev density.

The Attempt at a Solution



The best idea I could come up with was to use z = x + iy and substitute that into log|z-x| to get log|x+iy-x| = log|iy| = log(y) since |iy| = sqrt(0^2 + y^2) = sqrt(y^2) = y. That left me with just one term with an x to integrate. Then I used trig substitution of x = sin(theta) to have the integral become:

integral from -pi/2 to pi/2 of log(y)/pi d(theta). That left me with an answer of just log(y) which is clearly not right, or at least not in the form that should be. I think my approach to the integration is completely off.
 
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  • #2
Hello,

Is this question from the exercises of chapter 5 of the text 'Spectral Methods' by Trefethen? If so, I believe equation (5.9) of that text is wrong. The potential should have the form

phi(z) = log(|z+sqrt(z^2 - 1)/2|)

so that the minus sign is actually a plus. I'm working on the first exercise. Your question seems to be pertaining to the fifth exercise. Not sure if this helps.
 

1. What is Chebyshev density and potential?

Chebyshev density and potential refer to mathematical concepts used in numerical analysis and approximation. Chebyshev density refers to a distribution of points or nodes on a given interval, while Chebyshev potential is a function that measures the distance between these points. These concepts are used in polynomial interpolation and approximation techniques.

2. What is the Runge phenomenon?

The Runge phenomenon, also known as Runge's phenomenon, is a phenomenon that occurs in polynomial interpolation. It describes the oscillations or erratic behavior that can occur when using high-degree polynomials to approximate a function. These oscillations can increase as the number of interpolation points increases, leading to poor approximation results.

3. How is the Chebyshev density used in numerical analysis?

The Chebyshev density is used to distribute approximation points or nodes in a way that reduces the oscillations caused by the Runge phenomenon. By using Chebyshev nodes, the resulting polynomial approximation will have better accuracy and stability compared to using equidistant nodes. This is especially useful for functions with high-frequency oscillations.

4. What are the advantages of using Chebyshev approximation over other methods?

One of the main advantages of Chebyshev approximation is its ability to reduce the oscillations caused by the Runge phenomenon. This leads to more accurate and stable approximations, especially for functions with high-frequency oscillations. Chebyshev approximation also allows for efficient computation and has a wide range of applications in various fields such as physics, engineering, and finance.

5. Are there any limitations or drawbacks of using Chebyshev approximation?

While Chebyshev approximation has many advantages, it also has some limitations. One limitation is that it is mainly suitable for approximating smooth functions. For functions with discontinuities or singularities, Chebyshev approximation may not perform well. Additionally, the computation of Chebyshev approximation can become complex for higher-degree polynomials, which can be a drawback for some applications.

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