BIBO/Stable Systems: True/False Q&A on Homogenous & Particular Solutions

In summary: Summing Complementary (Homogenous) and Particular Solutionslet:mu = exp(int(coefficient of y*dt)) = exp(int(1*dt)) = exp(t)multiply by mu: mu*dy/dt + mu*yp = mu*exp(-t) + exp(t)*yp = exp(t)*(1+exp(-t)) = 2same product rule: d/dt*[exp(t)*yp] = 2integrating both sides: yp*exp(-t)...So the result of integrating factors and summing complementary (homogenous and particular) solutions is the same
  • #1
ltkach2015
37
1
ASSUMPTIONS:
BIBO/stable systems
NOTE: zero here does not mean the roots of the denominator in a transfer functionTRUE/FALSE -Please provide feedback- some answers are based on ODE example listed below

1/True) The Homogenous Solution is either zero or transient.; i.e. it can never be steady state
2/True) The Homogenous Solution does not always solely represent the Transient Response. What's more, if the Homogenous Solution is zero then it does not represent any part of the Transient Response (and it should go without saying that it doesn't represent any part of the total response)
-In general: Homogenous Solution, if non-zero, always and solely represents the Transient Response provided the Particular Solution is not transient

3/True) The Particular Solution can either be zero, transient, or steady state
4/True) The Particular Solution does not always represent the Steady State Response. That is, it can be transient and thus can represent part of the Transient Response. (and thus it wouldn't represent, at all, the Steady State Response)
-In general: Particular Solution, if non-zero and non-transient, always represents the Steady State Response

QUESTIONS:
5) A transient Particular Solution with a zero-Homogenous Solution, with zero initial conditions. How?
- Example below shows that this is strictly due to zero initial conditions.
6) A transient Particular Solution with a zero-Homogenous Solution, given non-zero initial conditions. How?
- I don't think this can ever happen. Can this ever be?
7) A transient Particular Solution with a Homogenous Solution, given zero initial conditions. How?
-I assume it's just a variation of the example below where the homogenous solution doesn't zero out
8) A transient Particular Solution with a Homogenous Solution, due to non-zero initial conditions. How?
-Again, just a variation of below where homogenous solution is non zero because of non zero initial conditions
9) A steady state Particular Solution with a zero-Homogenous Solution, given zero initial conditions. How?
Note: not talking about large passing of time where the transients have died out
-This one is incredibly difficult for me to visualize;
10) A steady state Particular Solution with a zero-Homogenous Solution, given zero initial conditions. How?
-This one is also very difficult to visualize.

11) A steady state Particular Solution with a Homogenous Solution, given zero initial conditions. How?
-typical mechanical vibrations/ODE's/controls problem
12) A steady state Particular Solution with a Homogenous Solution, given non-zero initial conditions. How?
-Again typical mechanical vibrations/ODE's/controls problem

13) Also, what real life examples has an input (forcing function?) that is exponentially decreasing with time or rather a particular solution that represents, or partially represents (if the homogenous solution is non zero) the Transient Response?SOME BACKGROUND ON MY CONFUSION/CORRESPONDENCE WITH SWARTHMORE COLLEGE PROFESSOR

Then visited Swarthmore College's Webpage: http://lpsa.swarthmore.edu/Transient/TransZIZStime.html
QUOTE:
What, physically, do the homogeneous and particular response represent. The particular response represents the response of the system after any initial transients have died out, but the homogeneous response doesn't really represent anything physical. The reason we use it is that it is mathematically correct and yields the right answer.
END QUOTE


Then I Emailed a Professor at Swarthmore about the website's statement:
He gave me an example that resists the common taught rules of thumb in dynamics and controls courses:
-> Homogenous Solution=Transient Response; Professor says this is not generally true
-> Particular Solution=Steady State Response; Example says this isn't always true, though their website says it is

He indicated that a zero-Homogenous Solution does not represent the Transient Response (example below), and non-zero-Particular Solutions can be transient and thus represent part (all, if zero homogenous solution) of the Transient ResponseExample Description: a first order OODe with a exponentially decreasing with time forcing function
Resulted in: a transient Particular Solution with a zero-Homogoenous Solution, due to zero initial conditions
and after apply initial conditions to total solution:
y(t) = total solution = homogenous solution + transient solution = yh(t) + yp(t) = 0 + t*exp(-t)
EXAMPLE BELOW WARNING LOTS OF MATH (skip to Bold Terms to see the same result as just above)
----------------------------------------------------------------------------Begin Math--------------------------------------------------------------------------

dy/dt + y = exp(-t) Zero-Initial Conditions: y(0) = 0 & dy/dt(0) = 0

To find the total solution I tried two techniques: 1) Integrating Factors 2) Summing Complementary (Homogenous) and Particular Solutions.

1) Integrating Factors
let:
mu = exp(int(coefficient of y*dt)) = exp(int(1*dt)) = exp(t)
multiply ODE by mu:
mu*dy/dt + mu*y = mu*exp(-t) = exp(t)*exp(-t) = 1
noticing product rule:
d/dt*[exp(t)*y] = 1
integrating both sides:
y*exp(t) = t+C
Initial Conditions:
y(t) = exp(-t)*(t+C) => y(0) = 0 = exp(-0)*(0+C) => C = 0
Total Solution by Integrating Factor Technique:
y(t) = t*exp(-t)
2) Sum of Complementary (Homogenous) Solution and Particular Solution
Complementary (Homogenous) Solution: set right hand side of ODE equal to zero, and then can just do typical integration or can assume solution to be yh = A*exp(t)
I chose to do the typical integration:

dy/dt + y = 0 => dy/dt = -y => 1/y *dy = -dt
log|y| +C1 = -t log here is natural logarithm
exp(log|y|) = exp(-t-C1) => yh(t) = exp(-t)*exp(-C1); if you did this by assumption/guess then your A would be equal to the exponential of C1

Particular Solution: referred to textbook for this one because if I assume a particular solution of the form of that similar to RHS of ODE yp(t) = B*exp(-t) then I duplicate the complementary/homogenous solution i.e.: dy/dt + y = -Aexp(-t) + A*exp(-t) = exp(-t) = A*[-exp(-t)+exp(-t)] = exp(-t) = A[0] = exp(-t) => cannot determine A
Instead assuming: yp(t) = B*t*exp(-t); by reasoning above
dy/dt + y = exp(-t) = Aexp(-t)-A*t*exp(-t)+A*t*exp(-t) = exp(-t) = A*exp(-t) = exp(-t) => A = 1 => yp(t) = t*exp(-t) due to assumed solution [different than just B*exp(-t)]

Apply Initial Conditions to Total Solution:
y(t) = yh(t) + yp(t) = exp(-t)*exp(-C1) + t*exp(-t) => y(0) = 0 = exp(-0)*exp(-C1) +0*exp(-0) => exp(-C1) = 0 => C1 = infinitely large number that drives exponent to zero
y(t) = exp(-t)*exp(-infinity) + t*exp(-t) = exp(-t)*0 + t*exp(-t) = 0 + t*exp(-t); => yh(t) = 0 due to zero initial conditions

Total Solution by Complementary (Homogenous) Solution and Particular Solution :
y(t) = 0 + t*exp(-t); notice both methods have same result


--------------------------------------------------------------------------------------End Math------------------------------------------------------------------

Conclusion:
You can have, at least mathematically, a Particular Solution that is transient and a Homogenous Solution that is non-zero and thus both solutions together represent the Transient Response. (Again there wouldn't be a Steady State Response here, and thus the Total Response is the Transient Response and the only response )

Comment:
Their website says something to the effect that Particular Solution represents the Steady State after any initial transients have died out. What about when the Particular Solution is transient. Is that statement general enough?

Similar Post linked here-though the above post is much clearer:
https://www.physicsforums.com/threa...transient-response-right.862109/#post-5410428
 
Last edited:
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  • #2
ltkach2015 said:
ASSUMPTIONS:
BIBO/stable systems
NOTE: zero here does not mean the roots of the denominator in a transfer functionTRUE/FALSE -Please provide feedback- some answers are based on ODE example listed below

1/True) The Homogenous Solution is either zero or transient.; i.e. it can never be steady state
2/True) The Homogenous Solution does not always solely represent the Transient Response. What's more, if the Homogenous Solution is zero then it does not represent any part of the Transient Response (and it should go without saying that it doesn't represent any part of the total response)
-In general: Homogenous Solution, if non-zero, always and solely represents the Transient Response provided the Particular Solution is not transient

3/True) The Particular Solution can either be zero, transient, or steady state
4/True) The Particular Solution does not always represent the Steady State Response. That is, it can be transient and thus can represent part of the Transient Response. (and thus it wouldn't represent, at all, the Steady State Response)
-In general: Particular Solution, if non-zero and non-transient, always represents the Steady State Response

QUESTIONS:
5) A transient Particular Solution with a zero-Homogenous Solution, with zero initial conditions. How?
- Example below shows that this is strictly due to zero initial conditions.
6) A transient Particular Solution with a zero-Homogenous Solution, given non-zero initial conditions. How?
- I don't think this can ever happen. Can this ever be?
7) A transient Particular Solution with a Homogenous Solution, given zero initial conditions. How?
-I assume it's just a variation of the example below where the homogenous solution doesn't zero out
8) A transient Particular Solution with a Homogenous Solution, due to non-zero initial conditions. How?
-Again, just a variation of below where homogenous solution is non zero because of non zero initial conditions
9) A steady state Particular Solution with a zero-Homogenous Solution, given zero initial conditions. How?
Note: not talking about large passing of time where the transients have died out
-This one is incredibly difficult for me to visualize;
10) A steady state Particular Solution with a zero-Homogenous Solution, given zero initial conditions. How?
-This one is also very difficult to visualize.

11) A steady state Particular Solution with a Homogenous Solution, given zero initial conditions. How?
-typical mechanical vibrations/ODE's/controls problem
12) A steady state Particular Solution with a Homogenous Solution, given non-zero initial conditions. How?
-Again typical mechanical vibrations/ODE's/controls problem

13) Also, what real life examples has an input (forcing function?) that is exponentially decreasing with time or rather a particular solution that represents, or partially represents (if the homogenous solution is non zero) the Transient Response?SOME BACKGROUND ON MY CONFUSION/CORRESPONDENCE WITH SWARTHMORE COLLEGE PROFESSOR

Then visited Swarthmore College's Webpage: http://lpsa.swarthmore.edu/Transient/TransZIZStime.html
QUOTE:
What, physically, do the homogeneous and particular response represent. The particular response represents the response of the system after any initial transients have died out, but the homogeneous response doesn't really represent anything physical. The reason we use it is that it is mathematically correct and yields the right answer.
END QUOTE


Then I Emailed a Professor at Swarthmore about the website's statement:
He gave me an example that resists the common taught rules of thumb in dynamics and controls courses:
-> Homogenous Solution=Transient Response; Professor says this is not generally true
-> Particular Solution=Steady State Response; Example says this isn't always true, though their website says it is

He indicated that a zero-Homogenous Solution does not represent the Transient Response (example below), and non-zero-Particular Solutions can be transient and thus represent part (all, if zero homogenous solution) of the Transient ResponseExample Description: a first order OODe with a exponentially decreasing with time forcing function
Resulted in: a transient Particular Solution with a zero-Homogoenous Solution, due to zero initial conditions
and after apply initial conditions to total solution:
y(t) = total solution = homogenous solution + transient solution = yh(t) + yp(t) = 0 + t*exp(-t)
EXAMPLE BELOW WARNING LOTS OF MATH (skip to Bold Terms to see the same result as just above)
----------------------------------------------------------------------------Begin Math--------------------------------------------------------------------------

dy/dt + y = exp(-t) Zero-Initial Conditions: y(0) = 0 & dy/dt(0) = 0

To find the total solution I tried two techniques: 1) Integrating Factors 2) Summing Complementary (Homogenous) and Particular Solutions.

1) Integrating Factors
let:
mu = exp(int(coefficient of y*dt)) = exp(int(1*dt)) = exp(t)
multiply ODE by mu:
mu*dy/dt + mu*y = mu*exp(-t) = exp(t)*exp(-t) = 1
noticing product rule:
d/dt*[exp(t)*y] = 1
integrating both sides:
y*exp(t) = t+C
Initial Conditions:
y(t) = exp(-t)*(t+C) => y(0) = 0 = exp(-0)*(0+C) => C = 0
Total Solution by Integrating Factor Technique:
y(t) = t*exp(-t)
2) Sum of Complementary (Homogenous) Solution and Particular Solution
Complementary (Homogenous) Solution: set right hand side of ODE equal to zero, and then can just do typical integration or can assume solution to be yh = A*exp(t)
I chose to do the typical integration:

dy/dt + y = 0 => dy/dt = -y => 1/y *dy = -dt
log|y| +C1 = -t log here is natural logarithm
exp(log|y|) = exp(-t-C1) => yh(t) = exp(-t)*exp(-C1); if you did this by assumption/guess then your A would be equal to the exponential of C1

Particular Solution: referred to textbook for this one because if I assume a particular solution of the form of that similar to RHS of ODE yp(t) = B*exp(-t) then I duplicate the complementary/homogenous solution i.e.: dy/dt + y = -Aexp(-t) + A*exp(-t) = exp(-t) = A*[-exp(-t)+exp(-t)] = exp(-t) = A[0] = exp(-t) => cannot determine A
Instead assuming: yp(t) = B*t*exp(-t); by reasoning above
dy/dt + y = exp(-t) = Aexp(-t)-A*t*exp(-t)+A*t*exp(-t) = exp(-t) = A*exp(-t) = exp(-t) => A = 1 => yp(t) = t*exp(-t) due to assumed solution [different than just B*exp(-t)]

Apply Initial Conditions to Total Solution:
y(t) = yh(t) + yp(t) = exp(-t)*exp(-C1) + t*exp(-t) => y(0) = 0 = exp(-0)*exp(-C1) +0*exp(-0) => exp(-C1) = 0 => C1 = infinitely large number that drives exponent to zero
y(t) = exp(-t)*exp(-infinity) + t*exp(-t) = exp(-t)*0 + t*exp(-t) = 0 + t*exp(-t); => yh(t) = 0 due to zero initial conditions

Total Solution by Complementary (Homogenous) Solution and Particular Solution :
y(t) = 0 + t*exp(-t); notice both methods have same result


--------------------------------------------------------------------------------------End Math------------------------------------------------------------------

Conclusion:
You can have, at least mathematically, a Particular Solution that is transient and a Homogenous Solution that is non-zero and thus both solutions together represent the Transient Response. (Again there wouldn't be a Steady State Response here, and thus the Total Response is the Transient Response and the only response )

Comment:
Their website says something to the effect that Particular Solution represents the Steady State after any initial transients have died out. What about when the Particular Solution is transient. Is that statement general enough?

Similar Post linked here-though the above post is much clearer:
https://www.physicsforums.com/threa...transient-response-right.862109/#post-5410428
The initial-value problem that you're considering here is very unusual, with two initial conditions. A first-order initial-value problem (IVP) normally consists of a first order differential equation and one initial condition that specifies the value of the unknown function at a specific time.

In your problem, there are two initial conditions: y(0) = 0 and y'(0) = 0. Your solution of y(t) = ##te^{-t}## satisfies thel diff. equation and the initial condition that y(0) = 0, but it does not satisfy the second initial condition, that y'(0) = 0.
 
  • #3
Mark44 said:
The initial-value problem that you're considering here is very unusual, with two initial conditions. A first-order initial-value problem (IVP) normally consists of a first order differential equation and one initial condition that specifies the value of the unknown function at a specific time.

In your problem, there are two initial conditions: y(0) = 0 and y'(0) = 0. Your solution of y(t) = ##te^{-t}## satisfies thel diff. equation and the initial condition that y(0) = 0, but it does not satisfy the second initial condition, that y'(0) = 0.
That is an error on my part.

Correction:

dy/dt + y = exp(-t) Zero-Initial Condition: y(0) = 0
 
  • #4
Your post was quite long, but I think this is the gist of it:
ltkach2015 said:
Example Description: a first order OODe with a exponentially decreasing with time forcing function
Resulted in: a transient Particular Solution with a zero-Homogoenous Solution, due to zero initial conditions
and after apply initial conditions to total solution:
y(t) = total solution = homogenous solution + transient solution = yh(t) + yp(t) = 0 + t*exp(-t)
With regard to the IVP problem of your example, y' + y = e-t, y(0) = 0, I wouldn't categorize the particular solution as transient. True, it decays pretty quickly, but there's nothing that says the steady-state portion of the solution has to continue on with non-zero values for long periods of time.
 

1. What does BIBO mean in relation to systems?

BIBO stands for "bounded-input bounded-output" and refers to a property of a system where the output remains within a certain range when the input is also within a certain range. This means that the system is stable and will not produce unexpected or extreme outputs for normal inputs.

2. How is stability of a system determined?

The stability of a system can be determined by analyzing its transfer function or by examining the behavior of its homogenous and particular solutions. A system is considered stable if it has a bounded-input bounded-output property, meaning the output remains within a certain range for any finite input.

3. Are homogenous solutions always stable?

Yes, homogenous solutions are always stable. This is because they represent the behavior of a system when there is no input, and in a stable system, the output will approach zero when there is no input.

4. What is the difference between homogenous and particular solutions?

Homogenous solutions represent the behavior of a system without any input, while particular solutions represent the behavior of a system with a specific input. Homogenous solutions are often used to determine the stability of a system, while particular solutions are used to find the system's response to a given input.

5. Can a system have both stable and unstable solutions?

Yes, a system can have both stable and unstable solutions. The overall stability of a system is determined by the stability of its homogenous solution, but it is possible for particular solutions to be unstable. This means that the system may behave erratically for certain inputs, but overall it is still considered stable due to its homogenous solution.

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