What are the Convolution Intervals for Step Function and Exponential Decay?

AI Thread Summary
The discussion focuses on understanding the convolution of a step function and an exponential decay function. The convolution is defined as y[n] = x[n] * h[n], where x[n] = u[n] and h[n] = a^(-k)u[-k] for 0 < a < 1. The key point is determining the limits of the summation based on the conditions for n, specifically when n <= 0 and n > 0. For n <= 0, the summation involves k values less than or equal to -n, while for n > 0, the summation includes k values greater than 0. The discussion concludes with a clarification of how these intervals are derived based on the properties of the unit step function.
MalB
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I am trying to see if I understand the convolution process correctly.
This is from the solved example of my prof's notes:

x[n] = u[n]
and h[n] = a-nu[-n] for 0<a<1

As expected the first step was

y[n] = x[n]* h[n]

= Ʃ h[k]x[n-k] -∞<k<∞
= Ʃ a-ku[-k]u[n-k] -∞<k<∞

From my understanding u[-k] = 0 for all k > 0 so that would give us the upper limit of k to be 0
And we would also need for n-k > 0 and when we have those conditions we would just then be left with the summation of a^-k since the other 2 would always evaluate to 1 in that interval.

But for the solution the cases considered were when n <= 0 and when n >0 and then the answers were

Ʃ ak -n<k<∞ for the first case (n<=0)
and Ʃak 0<k<∞

I don't understand how they came to those intervals. Any help would be appreciated.
 
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I think i have it figured out.
I will post my understanding and then maybe someone can comment on whether I was right.
My idea of k<0 was right but only if n > 0 which would make the second term u[n-k] always positive also giving us a SUM a^-k and then we flip the summation around cause we change the sign and end up with the answer noted for n>0

for n<0 for n-k >= 0 we need -k >= n or k<= -n
and then we end up with SUM a^-k and then again flip the limits and end up with the answer noted for n<0
 
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