Derivative of Dirac Delta - Fourier Transform - Time Differentitation Property

AI Thread Summary
The discussion focuses on using the time differentiation property to find the Fourier transform of the function f(t)=2r(t)-2r(t-1)-2u(t-2). The user calculates the first derivative as f'(t)=2u(t)-2u(t-1)-2δ(t-2) and seeks clarification on the second derivative, f''(t). A key point raised is the interpretation of the derivative of the Dirac delta function, specifically how to express it using integration by parts with a test function. The explanation emphasizes the importance of understanding the behavior of the Dirac delta function in the context of Fourier transforms. Overall, the thread highlights the mathematical intricacies involved in differentiating distributions like the Dirac delta function.
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Homework Statement



I am using the time differentiation property to find the Fourier transform of the following function:


Homework Equations



f(t)=2r(t)-2r(t-1)-2u(t-2)

The Attempt at a Solution


f'(t)=2u(t)-2u(t-1)-2δ(t-2)
f''(t)=2δ(t)-2δ(t-1)-??

Can somebody explain what the derivative of the dirac delta function is?
 
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The easiest way to see what \frac{d}{dx}\delta(x) is, is to multiply it by a simple test function like x and Integrate over any interval enclosing the origin, using integration by parts.
 
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