Fourier Transform of Trigonometric Polynomials | Learn How It Works

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Homework Help Overview

The discussion revolves around understanding complex trigonometric polynomials and their application in Fourier transforms. Participants express confusion regarding the necessity of complex numbers in this context, particularly when real trigonometric polynomials seem sufficient for practical applications.

Discussion Character

  • Exploratory, Conceptual clarification, Assumption checking

Approaches and Questions Raised

  • Participants share different forms of trigonometric polynomials and question the role of complex numbers in their usage. Some express a desire to understand how to calculate coefficients and the practical implications of using complex versus real polynomials.

Discussion Status

The discussion is ongoing, with various interpretations being explored. Some participants have offered insights into the forms of trigonometric polynomials and the potential use of complex numbers, while others remain uncertain about the necessity of complexity in practical scenarios.

Contextual Notes

There is a noted concern regarding the application of complex numbers in real-world situations, with participants questioning whether they add unnecessary complexity. The original poster and others indicate a preference for real trigonometric polynomials based on their observations.

Bob
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Trigonometric Polynomials...

It's too difficult to understand...

Please tell me how a complex trigonometric polynomial works. I think real trigonometric polynomial is good enough.
[tex]T_{N}=\sum^N_{n=0}a_n cos(nx) +i\sum^N_{n=0}a_n*sin(nx)[/tex]
[tex]T_{N}[/tex] is postion at time x of an object moving along a line. seems have nothing to do with complex numbers.
 
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I like this one.

[tex]T_{N}=\frac{a_0}{2} +\sum^N_{n=0}a_n cos(nx) +\sum^N_{n=0}b_n sin(nx)[/tex]
 
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Bob said:
I like this one.

[tex]T_{N}=\frac{a_0}{2} +\sum^N_{n=0}a_n cos(nx) +\sum^N_{n=0}b_n sin(nx)[/tex]
Do you just want to know how to calculate the coefficients? Look up Fourier series. Hmm.. Now that I think about it this probably didn't help you much, but I can't quite figure out what your question is.
 
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I want to know how to use it in practice.
We can find the coefficients and a function f(x) from x0, x1, ...xn and f(x0), f(x1)...f(xn). These values come from observations. I am sure they are not complex numbers. So, the real trigonometric polynomial is good enough. The question is why we use the complex polynomial? Is it only for making things more complicated? :o
 
Bob said:
Trigonometric Polynomials...

It's too difficult to understand...

Please tell me how a complex trigonometric polynomial works. I think real trigonometric polynomial is good enough.
[tex]T_{N}=\sum^N_{n=0}a_n cos(nx) +i\sum^N_{n=0}b_n*sin(nx)[/tex]
[tex]T_{N}[/tex] is postion at time x of an object moving along a line. seems have nothing to do with complex numbers.
(Note: I've changed the second "an" to "bn[/b]". Surely you don't want to use the same notation for two different values.

You don't have to use complex numbers. In fact, in real applications, I've never seen it done. If everything in your application is real, then the bn would have to be imaginary in order to cancel that "i".

The form you give might be used if they were trying to make the point that the Fourier series can be written in terms of exponentials:
[tex]T_{N}=\sum^N_{n=0}c_n e^{nix}[/tex]
where cn is, itself, a complex number.
 

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