A doubt related to infinitesimals in continuous fourier transform.

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Discussion Overview

The discussion revolves around the interpretation of the continuous time Fourier transform (CTFT) and its relationship to probability density functions and energy representation. Participants explore how to understand Fourier transform plots, particularly in the context of sinusoidal components and their amplitudes, as well as the implications of Parseval's relation.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • One participant expresses confusion about interpreting the Fourier transform plot, questioning whether the magnitude spectrum at frequency F indicates the presence of a sinusoid with amplitude proportional to X(F).
  • Another participant clarifies that Fourier series is for periodic functions while the Fourier integral applies to integrable functions over an infinite range, suggesting a distinction in their applications.
  • A participant raises the issue of interpreting a Fourier transform plot for complicated waveforms, noting that such plots do not contain delta functions and questioning how to read them in relation to low pass signals bandlimited to W Hz.
  • One participant introduces Parseval's relation, suggesting that the square of the Fourier transform can be viewed as an energy density, with |X(f)|^2 df representing the energy between frequencies f and f+df.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the interpretation of Fourier transform plots, and multiple competing views regarding the relationship between Fourier transforms, sinusoidal components, and energy representation remain evident.

Contextual Notes

There are limitations in the discussion regarding the assumptions made about the nature of Fourier transforms and the definitions of terms like "energy density." The interpretation of plots and the role of infinitesimals in this context are not fully resolved.

dexterdev
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Hi all,
Only few days back I got the idea of probability density function. (Till that day , I believed that pdf plot shows the probability. Now I know why it is density function.)
Now I have a doubt on CTFT (continuous time Fourier transform).

This is a concept I got from my friend.The Fourier series lists particular frequencies, while the Fourier transform is the frequency density function.

I got the former idea but not the later. How do I interpret a Fourier transform plot. Suppose at frequency F if the magnitude spectrum gives X(F) ,do that mean there is a sinusoid with frequency component F with amplitude proportional to X(F)? Is Fourier transform also a frequency density function, if so how we interpret it?
 
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Fourier series is used for periodic functions. Fourier integral is for integrable (in some sense) functions over infinite line. (The description is somewhat simplified, but this should give you an understanding of the distinction).
 
Thanks for the reply. In the case of a Fourier series plot, the sticks imply sinusoids with corresponding amplitude. But to represent a sinusoid in Fourier transform plot we require a shifted delta function (defined with area equalling amplitude of the particular sinusoid). So how do I interpret a complicated waveform's Fourier transform plot with no delta functions it. This is where infinitesimals come to play. How to read those plots. If it is a low pass signal bandlimited to W Hz , is it right to say that this signal contains many sinusoids from 0 Hz to W Hz with respective amplitudes?
 
I think that Parseval's relation helps here:
<br /> \int_{-\infty}^{\infty} |x(t)|^2 dt = \int_{-\infty}^{\infty} |X(f)|^2 df<br />
The left hand side is the total energy in the signal, so you can think of the square of the Fourier transform as an energy density, and indeed the square is usually what is plotted. In particular, |X(f)|^2 df is the amount of energy between f and f+df.

jason
 
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