THERE IS A "SYSTEMS ENGINEERING" BOARD ON THESE FORUMS FROM WHICH YOU MAY GET SOME GOOD SUPPLEMENTAL ASSISTANCE.
lizm said:
Could you really simpilfy it down to dummy maths?
I'll try, but I'm doubtful. I'm not optimistic about demonstrating any of this without some integral calculus. I hope that's dummy enough for you. If not, I wonder what you are doing in such a class. I don't mean to offend, but, maybe you're out of sync with your program; maybe you've missed some prereqs. Oh well, I guess that doesn't help you now at the end of the semester (crunch time) so we'll see what I (as well as anyone else who would care to jump in at any time) can do. It would help, though, if you would be more specific with your background and what you don't understand in the problems. If I just go by what you stated in your initial post, I am shocked that you even considered such a course. If you're just one of those ambitious people, then more power to you, and I'll try to help you as best I can.
For #1:
a. Do you know what convolution is?
b. Do you know what a Laplace transform is?
c. Do you know what integration is?
d. Do you know what "commutive" means, and do you know of any examples of non-commutative combination (i.e. why it's
a priori non-trivial)?
I don't know what else I can say to explain this problem.
For #2:
a. Do you know what an LTI causal system is?
I appologize for my hastyness in my previous response. You do NOT need Laplace transforms for this one, just the idea of delay. The impulse response tells you what would come out if you put in a δ(t) (δ(t) is the quasi-mathematical way of saying "unit impulse function with no delay"). Assuming the system is LTI, you just add the three impulse's corresponding responses with the appropriate delays. The delays manifest as a subtraction in the time argument. That is, everywhere that "t" shows up in h(t), you subtract τ, if the input δ has been delayed by τ. In other words:
if an input of δ(t) gives you an output of h(t),
then an input of δ(t-τ) gives you an output of h(t-τ).
This principle is known as "causality."
For #3:
Again, you need to know the convolution integral and of course how to integrate. Otherwise, we will have to first go over these two issues.
This problem is asking you to convolve (preform a convolution between) the h(t) that they gave you with the unit step function, u(t) (which I defined for you in my previous post). You should recognize that this is what they are asking you to do as a fundamental part of systems theory. I will restate the issue:
Assume that we have an LTI system (this is the default assumption). Since it is LTI, its behavior for any given input can be
completely characterized by its impulse response. That is to say, if we input a unit impulse function into the input of an LTI system, the output of the system, being the response to this impulse (or, "impulse response" for short) can determine the output that the system would give under the influence of any input by convolution. (see attachment for a graphical depiction.)
After that, it is just a "plug and chug" together with realizing that the unit step simply changes one of the limits of integration. I suspect that the "limits of integration" issue is probably half of the point of the problem, and you should be able to figure it out if you think about it, so I don't want to be more specific (unless you need help with the anti-derivation part or the meaning of convolution). You can tell me what you think it does, and I will verify, but I don't want to just give you the answer.
For #4:
a. Do you know what the sine function is?
b. Do you know what integration is?
I gave this definition for the Dirac delta function (that's the δ(t-t') function) in the previous post. Maybe it would help you to think of it as a selector function. It trivializes the integration by selecting the value of the rest of the integrand out at the zero point of the delta function (at t = t').