The zero state response does not satisfy the diff equation. Why?

In summary, the conversation discusses a linear system with a differential equation and its corresponding Laplace transform. The unit impulse response is calculated and compared to the differential equation, revealing a discrepancy. The reason for this discrepancy is attributed to the nature of the unit impulse function and its derivative.
  • #1
logicman112
14
0
If we have a linear system(it could be a RLC circuit) with the following differential equation:
d2y/dt2+7*dy/dt+12*y=dx/dt+5*x
So H(s) = (s+5)/((s+4)*(s+3)) = -1/(s+4)+2/(s+3)--> h(t) = (-e^(-4*t)+2*e^(-3*t))*u(t)
(Please calculate the unit impulse response by Laplace transform and verify the result by yourself)
Why this answer(which is Zero-State response) does not satisfy the differential equation?
The right answer is:
h(t) = (-2*e^(-4*t)+3*e^(-3*t))*u(t)
 
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  • #2
If h(t)=(-e^(-4*t)+2*e^(-3*t))*u(t) is the impulse response, as its
Laplace transform suggests, so it must satisfy
"d2y/dt2+7*dy/dt+12*y=dx/dt+5*x" so(using the chain rule and our input
is the unit impulse function, delta(t) ):

y(t) = (-e^(-4*t)+2*e^(-3*t))*u(t) and x(t) = delta(t)

dy/dt = (4*e^(-4*t)-6*e^(-3*t))*u(t)+(-e^(-4*t)+2*e^(-3*t)) * delta(t)
d2y/dt2 = (-16*e^(-4*t)+18*e^(-3*t))*u(t)+[4*e^(-4*t)-6*e^(-3*t)+4*e^(-4*t)-6*e^(-3*t)]*delta(t)+
(-e^(-4*t)+2*e^(-3*t))*d(delta(t))/dt

d2y/dt2+7*dy/dt+12*y = (-e^(-4*t)+2*e^(-3*t))*d(delta(t))/dt
+ [8*e^(-4*t)-12*e^(-3*t)-7*e^(-4*t)+14*e^(-3*t)]*delta(t)+
[-16*e^(-4*t)+18*e^(-3*t)+28*e^(-4*t)-42*e^(-3*t)-12*e^(-4*t)+24*e^(-3*t))*u(t)=
(4*e^(-4*t)-6*e^(-3*t)) d(delta(t))/dt +
[e^(-4*t)+2*e^(-3*t)]*delta(t)+0*u(t) --->

d2y/dt2+7*dy/dt+12*y = (-e^(-4*t)+2*e^(-3*t)) *d(delta(t))/dt +
[e^(-4*t)+2*e^(-3*t)]*delta(t) = d(delta(t))/dt+5*delta(t)

so the coefficient of delta(t) is 3 in the left side while it is 5 in
the other side! and it seems the equality can not be satisfied.

If (-e^(-4*t)+2*e^(-3*t))*u(t) is the impulse response why it does not
satisfy the differential equation?
 
  • #3
Good question logicman112, and it's answer goes right to the heart of why we must be very careful when using the impulse function, [itex]\delta(t)[/itex].

First off you need to know that the unit impulse function does not exist, it's a useful as a "limiting case" abstraction but it does not actually exist in nature. The only place the impulse function actually makes sense is inside an integral, use it any other way and you'd better be careful.

Now as bad as the unit impulse is it's derivative is infinitely worse. Imagine for example (by way of analogy) you had both sides of an algebraic equation divided by zero. It would be hard to say anything conclusive about the terms in that equation, right? Same thing with your equation that has derivatives of delta functions on both sides, it means you have to re-consider what you're doing and how you're doing it.

I suggest you look at the following integral equation and confirm that your proposed impulse response does indeed work correctly.

[tex]\frac{dy}{dt} + 7 y + 12 \int_{0}^{t} y(\lambda)\,d\lambda \,=\, x + 5 \int_{0}^{t} x(\lambda)\,d\lambda[/tex]

It's easy to show that the LHS and RHS of the above are equal for [itex] x(t) = \delta(t)[/itex] and [itex] y(t) =2 e^{-3t} - e^{-4t} \,\, : \, x>0[/itex], [itex]\, \left\{ y(t)=0 \,\,:\, x<0 \right\}[/itex].
 
Last edited:
  • #4
Thanks uart. As you wrote, it seems that the chain rule of derivatives becomes false for f(t)*delta(t)
 

Related to The zero state response does not satisfy the diff equation. Why?

1. Why is the zero state response not satisfying the differential equation?

The zero state response refers to the output of a system when the input is set to zero. If this response does not satisfy the differential equation, it means that the system is not behaving in accordance with the mathematical model that relates the input and output. This could be due to various factors such as errors in the model, external disturbances, or limitations in the system itself.

2. How does the zero state response affect the overall system behavior?

The zero state response, along with the zero input response, makes up the complete response of a system. If the zero state response does not satisfy the differential equation, it can significantly affect the overall behavior of the system. This can lead to unexpected or undesirable outcomes, making it crucial to accurately model and understand the zero state response.

3. Can the zero state response be corrected?

In some cases, it is possible to correct the zero state response if it does not satisfy the differential equation. This can be done by adjusting the system parameters or making changes to the input. However, it is important to note that the zero state response is affected by both the system dynamics and the input, so finding the right solution may require further analysis and experimentation.

4. What are some potential reasons for the zero state response not satisfying the differential equation?

There are several reasons why the zero state response may not satisfy the differential equation, such as modeling errors, disturbances in the system, external factors, or limitations in the system itself. It is essential to carefully analyze and identify the specific cause in order to make any necessary corrections or adjustments.

5. How can one determine if the zero state response satisfies the differential equation?

The zero state response can be evaluated by comparing it to the expected output based on the mathematical model described by the differential equation. If there are significant discrepancies between the two, it indicates that the zero state response does not satisfy the differential equation. Additionally, techniques such as system identification and simulation can also be used to validate and analyze the zero state response.

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