Convolution Integral properties

AI Thread Summary
The discussion focuses on proving the equations y'(t) = x(t) * h'(t) and y'(t) = x'(t) * h(t) within the context of linear time-invariant (LTI) systems. It references the convolution integral y(t) = x(t) * h(t) as a foundational concept. Participants suggest that the proof may be more appropriate for the Fourier Transform area rather than the Differential Equation forum. The conversation emphasizes the need for clarity in applying convolution properties to differentiate the output signal. Overall, the discussion highlights the relationship between convolution and differentiation in signal processing.
benfrankballi
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how would I show that y'(t) = x(t) * h'(t) and y'(t) = x'(t) * h(t)

I know that in an LTI system y(t) = x(t) * h(t) = \int x(\tau) * h(t-\tau) from \infty to -\infty

But how would I go about trying to prove the first two equations?
 
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Go to Differential Equation forum here to ask, this really belong to Fourier Transform area.
 
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