Properties of the Fourier Transform - Time Differentitation

In summary, this conversation discusses time differentiation and the proof that the factor of jw should be inside the integral when using Leibniz's integral rule. Taking the derivative of both sides with respect to time gives the equation jwF'(w) = F(w), which can be solved by taking the forward Fourier transform of both sides.
  • #1
p75213
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Homework Statement


This is copied from a book:
$$\eqalign{
& {\rm{Time Differentitation}} \cr
& {\rm{Given that: }}F(\omega ) = F\left[ {f(t)} \right] \cr
& F\left[ {f'(t)} \right] = jwF(\omega ) \cr
& {\rm{Proof:}} \cr
& f(t) = {F^{ - 1}}\left[ {F\left( \omega \right)} \right] = {1 \over {2\pi }}\int_{ - \infty }^\infty {F\left( \omega \right){e^{j\omega t}}d\omega } \cr
& {\rm{Taking the derivative of both sides with respect to }}t{\rm{ gives:}} \cr
& {d \over {dt}}f(t) = {{j\omega } \over {2\pi }}\int_{ - \infty }^\infty {F\left( \omega \right){e^{j\omega t}}d\omega } = j\omega {F^{ - 1}}\left[ {F(\omega )} \right]{\rm{ or }}F\left[ {f'(t)} \right] = jwF(\omega ) \cr} $$

Can somebody explain why the jw is outside the integral? I can't see how that happens using Leibniz's integral rule - http://en.wikipedia.org/wiki/Leibniz_integral_rule

Homework Equations


The Attempt at a Solution

 
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  • #2
The factor of jw should be inside the integral, as you surmise. Then take the forward FT of both sides to get the answer.
 
  • #3
Thanks marcusl. I see now.
 

What is the Fourier Transform?

The Fourier Transform is a mathematical operation that decomposes a signal into its individual frequency components. It is commonly used in signal processing and analysis.

How does the Fourier Transform work?

The Fourier Transform works by converting a signal from the time domain to the frequency domain. This means that instead of representing a signal as amplitude values over time, it is represented as a combination of sine and cosine waves with different frequencies and amplitudes.

What is the relationship between the Fourier Transform and time differentiation?

The Fourier Transform and time differentiation are closely related because the Fourier Transform of a signal's derivative is equal to the product of the original signal's Fourier Transform and the frequency variable. In other words, taking the Fourier Transform of a signal's derivative allows us to analyze the frequency components of the original signal.

How is the Fourier Transform used in time differentiation?

The Fourier Transform is used in time differentiation by allowing us to analyze the frequency components of a signal's derivative. This can be useful in many applications, such as filtering out noise from a signal or identifying specific frequencies in a signal.

What are the limitations of using Fourier Transform in time differentiation?

One limitation of using the Fourier Transform in time differentiation is that it assumes the signal is continuous and infinite. This may not always be the case in real-world signals, which can be discrete and have finite lengths. Additionally, the Fourier Transform is sensitive to noise and may not accurately capture high-frequency components of a signal.

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