Fourier Transform question

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Discussion Overview

The discussion revolves around the properties of the Fourier transform, particularly its ability to distinguish between clockwise and counterclockwise rotating vectors, and the implications of positive and negative frequency components. Participants explore the mathematical representation of these concepts and their applications in signal processing.

Discussion Character

  • Technical explanation
  • Conceptual clarification
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant questions why the Fourier transform cannot distinguish between clockwise and counterclockwise rotating vectors, noting that it gives peaks at both positive and negative frequencies.
  • Another participant seeks clarification on the term "rotating vector," suggesting it may refer to either a complex-valued function or a multi-dimensional Fourier transform, and asserts that Fourier transforms can distinguish between functions with different phase rotations.
  • A participant explains that real-valued signals contain both positive and negative frequency components, which correspond to complex-valued functions that spiral in opposite directions.
  • Concerns are raised about the assumption that using only the cosine integral would suffice for all signals, as it may not account for the phase of frequency components.
  • A later reply clarifies that by "rotating vector," the original poster meant a complex-valued function, and confirms their understanding of positive and negative frequencies.
  • The original poster describes an attempt to calculate the Fourier transform of a delta function by using a specific multiplication method, noting that it works for certain functions but expressing uncertainty about their previous understanding.

Areas of Agreement / Disagreement

Participants express differing views on the ability of the Fourier transform to distinguish between rotating vectors and the implications of positive and negative frequencies. The discussion remains unresolved, with multiple competing interpretations present.

Contextual Notes

Some assumptions regarding the nature of signals and the mathematical properties of the Fourier transform are not fully explored, particularly in relation to phase components and their effects on the resulting transformations.

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Why can't Fourier transform distinguish between a clockwise and a counter clockwise rotating vector? Why does it give peaks at both + and -.
If we discard the -ve frequency and use only the +ve frequency, we can just use
[tex]\int[/tex] f(t)coswt instead of {f(t)(coswt-isinwt)}
 
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What do you mean by "rotating vector"? Do you mean a complex-valued function whose phase angle rotates with time, or do you really mean a vector and some kind of multi-dimensional Fourier transform?

Fourier transforms certainly do distinguish between functions with phases that rotate in different directions! I don't know why you think they don't.

I'm also not sure what you mean by "peaks at + and -". Are you just asking why a real-valued signal has both positive and negative frequency components? That's because the positive and negative frequencies represent complex-valued functions that spiral in opposite directions, and they add together to produce a real-valued function.

I feel like I'm not answering your question. Can you try to explain a little more clearly?
 
Oh, one other thing: you mention trying to use an integral of cos(wt) f(t). That won't work because it assumes that the phase of every frequency component is zero. Not all signals have this property. For example, no matter how many cosines you add together, the value at time t=0 will just keep getting bigger and bigger, because all cosines have a value of 1 at t=0.
 
Xezlec, I was reading this FT tutorial here - http://www.cis.rit.edu/htbooks/nmr/inside.htm
By 'rotating vector' , I meant complex-valued function whose phase angle rotates with time.
By + and - peaks, I did mean positive and negative frequencies.
I was trying to calculate the FT of a delta function by multiplying the delta function by (coswt-isinwt) for different w and then adding up.
It works for a function like cos 4t+cos9t (as in the link above). I had never thought of FT in this way. Me so dumb. For this example, it is enough to multiply only by coswt. No need for isinwt.
 

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