Basic Convolution - if someone wouldn't mind checking

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Homework Help Overview

The discussion revolves around two convolution problems involving the unit step function and exponential functions. The original poster seeks verification of their computations for the convolution of two functions, specifically focusing on the mathematical setup and integration involved.

Discussion Character

  • Exploratory, Mathematical reasoning, Problem interpretation

Approaches and Questions Raised

  • Participants discuss the definition of the unit step function, question the correctness of integrals, and request additional steps for clarity. There are attempts to clarify the setup of the convolution integrals and the conditions under which they are evaluated.

Discussion Status

Some participants have provided guidance on the setup and integration process, while others have expressed differing results from the original poster's calculations. There is an ongoing exploration of the correct approach to the convolution problems, with no explicit consensus reached yet.

Contextual Notes

Participants note the importance of not providing complete solutions in the homework section, emphasizing the need for the original poster to engage with the problem-solving process. There are also mentions of potential misunderstandings regarding the notation used in the original question.

FrogPad
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I have two convolution problems, that I would like to be sure are right. If someone wouldn't mind the fun job of checking these, that would be great.

QUESTION:

Compute the convolution of x(t) and h(t) where:

1:
x(t) = u(t)
h(t) = e^{-at}u(t), \,\,\, a>0

2.
x(t) = u(t) - u(t-T_1)
h(t) = u(t) - u(t-T_2), \,\,\, T_1 > T_2


"ANSWER":
Let y(t) be the convolution of x(t), h(t)


(1):

t < 0:
y(t) =0

t \geq 0:
y(t) = \int_{-\infty}^t e^{-a(t-\tau)}d\tau = \frac{1}{a}


(2):

t < 0 or t-T_2 > 0:
y(t) =0

t \geq 0 and t-T_2 < 0:
y(t) = \int_0^t d\tau = t

t-T_2 > 0 and t<T_1:
y(t) = \int_{t-T_2}^t d\tau = T_2

If I need to show more steps, please let me know. Thanks!
 
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Is u(t) a specific function- say, the unit step function?
 
HallsofIvy said:
Is u(t) a specific function- say, the unit step function?

My apologies. I thought that was the standard notation. Yes, u(t) is the step function.

EDIT: I see how I should have said that to begin with. It is rather vague in the opening question.
 
Please show some additional work, as I get answers different from yours.
 
I don't think your first integral is correct. For t \geq 0, \int_{0}^{t}x(t) h(t-\tau) \ d \tau = \int_{0}^{t} e^{-a(t-\tau)} \ d \tau.
 
Corneo, I did not post that result because the intent of the homework section is the help the student get to the correct answer. If you give the correct answer, how does that help the student?
 
Is what I posted considered too much help? I just wanted to show the OP the setup was wrong. I didn't think I solved the problem already. But I guess I can keep this in mind next time.
 
Corneo said:
Is what I posted considered too much help? I just wanted to show the OP the setup was wrong. I didn't think I solved the problem already. But I guess I can keep this in mind next time.

I think you were fine. I redid the first one and got this:

y(t) = \int_{-\infty}^{\infty} x(\tau)h(t-\tau)d\tau

Setting up the bounds gives:
x(\tau) --- a step function in the \tau domain.
h(t-\tau) --- (this is kind of hard to describe), but... a inverted decaying exponential that has a value from -\infty to t in the \tau domain.

We now look at the overlap regions:

t<0 , y(t) = 0

t \geq 0 , y(t) = \int_0^t e^{-a(t-\tau)}d\tau = \frac{1}{a}(1- e^{-at})

Thus, y(t) = \frac{u(t)}{a} (1 - e^{-at})

Does this look better?
 
For the second problem.

x(t) = u(t) - u(t - T1)
y(t) = u(t) - u(t-T2)
y(t)=x(t)*h(t)Graphically,

x(\tau) is a function that is 1 from 0 to T1
h(t-\tau) is a function that is 1 from t-T2 to t

Thus the bounds are:

t< 0: no overlap, y(t) = 0

t-T_2 > T_1: no overlap, y(t) = 0

t>0 AND t-T_2 < 0: partial overlap (left side)
y(t) = \int_0^t d\tau = t

t-T_2 > 0 AND t< T_1 h(t-tau) is fully enclosed within x(tau)
y(t) = \int_{t-T_2}^t d\tau = T_2

t-T_2 < T_1 AND t> T_1: partial overlap (right side)
y(t) = \int_{t-T_2}^{T_1} d\tau = T_1 + T_2 -t

Is this right? Thanks again you guys
 
  • #10
FrogPad said:
Does this look better?

This one looks right.
 

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