Inverse Fourier Transform of a function

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Discussion Overview

The discussion revolves around the inverse Fourier transform of a specific function, f(λ) = e^{-2iπλd}, and its implications for the function f(t). Participants explore the relationship between the Fourier transform and the peak of the resulting function, particularly focusing on the conditions under which |f(t)| is maximized.

Discussion Character

  • Exploratory
  • Technical explanation
  • Mathematical reasoning

Main Points Raised

  • One participant expresses confusion regarding the maximization of |f(t)| at t = d, questioning the integration process involved in the inverse Fourier transform.
  • Another participant suggests clarifying the notation used for the function and its Fourier transform, as well as the limits of integration.
  • A later reply proposes evaluating the integral ∫_{-a}^a e^{2πiλ(t-d)} dλ and taking the limit as t approaches d to understand the behavior of the function.
  • Further, it is noted that the integral evaluates to Sin(2aπ(d-t))/(π(d-t)), which achieves its maximum when d = t.
  • The original function f(λ) is identified as a Fourier basis element on L²[-a,a], prompting a question about whether there is a simpler way to see the result without performing the integration.

Areas of Agreement / Disagreement

Participants do not reach a consensus on whether there is an easier method to determine the peak of the function without integration. The discussion includes both agreement on the mathematical evaluation and ongoing questions about the clarity of the concepts involved.

Contextual Notes

Participants highlight potential confusion stemming from the notation and the limits of integration, which may affect the understanding of the Fourier transform and its inverse.

CantorSet
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Hi everyone, this is not a homework question but from my reading of a signals processing paper.

This paper says if f(t) is the inverse Fourier transform of a function

f(\lambda) = e^{-2i\pi\lambda d}

then we can "easily see" that f(t) will have a peak d.

Part of the issue here is my shaky of the Fourier transform, which up til this point, I understand as a frequency decomposition of a signal. That is, let f(x) be a signal function supported on [-a,a]. Then,

f(\lambda) = \int_{-a}^{a}f(x)e^{-2i\pi x\lambda}dx

is the Fourier transform with the property that |f(\lambda)| quantifies the "amount" of frequency \lambda in the original signal function f(x).

But returning to my original problem, if we take the inverse Fourier transform of

f(\lambda) = e^{-2i\pi\lambda d}, then we have

f(t) = \frac{1}{2\pi}\int e^{-2i\pi\lambda d} e^{2i\pi\lambda t} d \lambda = \frac{1}{2\pi}\int e^{2i\pi\lambda (t-d)} d \lambda. But I can't see how |f(t)| is maximized at t=d, as it becomes the integral of 1.

Am I missing something?
 
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It might make more sense if you did not use "f" both for the function and its Fourier transform. And what are the limits of integration in the final integral?
 
CantorSet said:
f(t) = \frac{1}{2\pi}\int e^{-2i\pi\lambda d} e^{2i\pi\lambda t} d \lambda = \frac{1}{2\pi}\int e^{2i\pi\lambda (t-d)} d \lambda. But I can't see how |f(t)| is maximized at t=d, as it becomes the integral of 1.

Am I missing something?

First evaluate the integral:

\int_{-a}^a e^{2\pi i \lambda(t-d)}d\lambda

and then take the limit as t goes to d.
 
jackmell said:
First evaluate the integral:

\int_{-a}^a e^{2\pi i \lambda(t-d)}d\lambda

and then take the limit as t goes to d.

Oh, I see...

So we have

\int_{-a}^a e^{2\pi i \lambda(t-d)}d\lambda = \frac{Sin(2a\pi (d-t)}{\pi(d-t)}

So the function

\frac{Sin(2a\pi (d-t)}{\pi(d-t)}

achieves its max of \frac{2a}{\pi} when d = t.

Thanks for the help. By the way, was there an easy way to see this without having to integrate? The original function

f(\lambda) = e^{-2 i \pi \lambda d}

is a Fourier basis elements on L^2[-a,a].
 

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