Numerical Analysis: Weierstrass & Fourier Analysis

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In summary, the conversation discusses the topic of numerical analysis and the comparison between polynomial and Fourier approximation for functions. The similarities and differences between the two methods are explored, as well as their convergence rates and application to functions of one variable. It is mentioned that the choice between the two methods depends on the specific application and factors such as the domain, continuity, and metric used for approximation. A useful resource for further information is provided.
  • #1
talisman2212
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Hi, I am reading numerical analysis and I am very interested in Weierstrass Theorem and Fourier analysis. I want to know what are the similarities and the differences using polynomial approximation and Fourier aproximation for a function and which approximation converge faster and better to a function?
I need much help on this, I can't find yet anything.
 
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  • #2
There is no simple answer. It depends very much on the application of interest.
 
  • #3
The application of interest is on approximation of functions of one variable.
 
  • #4
Are you concerned with finite or infinite domain? Are the functions continuous? What is the metric used to define the approximation? There may be other questions as well.
 
  • #5
with finite domain, continuous functions and the Euclidean metric.
 
  • #6
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FAQ: Numerical Analysis: Weierstrass & Fourier Analysis

What is Numerical Analysis?

Numerical Analysis is a branch of mathematics that deals with the development, analysis, and implementation of algorithms for solving mathematical problems using numerical methods.

What is Weierstrass Analysis?

Weierstrass Analysis is a branch of numerical analysis that focuses on the approximation of continuous functions using polynomials. It was developed by German mathematician Karl Weierstrass in the 19th century.

What is Fourier Analysis?

Fourier Analysis is a branch of numerical analysis that deals with the representation of functions as a sum of sinusoidal functions. It was introduced by French mathematician Joseph Fourier in the 18th century.

What is the difference between Weierstrass and Fourier Analysis?

The main difference between Weierstrass and Fourier Analysis is the type of functions they focus on. Weierstrass Analysis deals with approximating continuous functions using polynomials, while Fourier Analysis focuses on representing functions as a sum of sinusoidal functions.

How are Weierstrass and Fourier Analysis used in real-world applications?

Both Weierstrass and Fourier Analysis have numerous real-world applications. Weierstrass Analysis is used in computer graphics, image processing, and signal processing, while Fourier Analysis is used in sound and image compression, data analysis, and solving differential equations.

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