Testing Linearity of Two Given Systems

AI Thread Summary
The discussion centers on testing the linearity of two differential systems. System (a) is analyzed and determined to be linear despite being time-variant, as it satisfies the principle of superposition. The user attempts to validate their solution by applying the linearity conditions, but initially questions the provided solution that claims it is not linear. Ultimately, the consensus is that while system (a) is linear, it does not qualify as time-invariant. The key takeaway is the distinction between linearity and time invariance in differential equations.
mym786
Messages
11
Reaction score
0

Homework Statement



Two system are given as follows :-

(a) \frac{dy}{dt} + sin(t)y(t) = \frac{df}{dt} + 2f(t)

(b) \frac{dy}{dt} + 2y(t) = f(t)*\frac{df}{dt}

Test linearity of systems.


Homework Equations





The Attempt at a Solution

 
Physics news on Phys.org
So the question is basically to determine if each represents a linear or a non-linear system.

Tell us what you know or don't know. What type of things are you allowed do to the variables and their derivatives in order for it to be linear system? What are some things you can't do if you want to preserve linearity?
 
Main point, do you know what "linearity" means for differential equations?
 
My attempt to the solution.

(a) dy/dt + sin(t)y(t) = df/dt + 2f(t)

If input is f1(t) , output is y1(t).
dy1/dt + sin(t)y1(t) = df1/dt + 2f1(t) -> eqn 1

If input is f2(t) , output is y2(t)
dy2/dt + sin(t)y(t) = df2/dt + 2f2(t) -> eqn2

Now system would be linear if input is k1f1(t) and output is k1y1(t).

Let input be k1f1(t) , k2f2(t).

d(k1y1(t) + k2y2(t))/dt + sin(t)(k1y1(t) + k2y2(t)) = d(k1f1(t) + k2f2(t))/dt + (k1f1(t) + k2f2(t)). -> 3

eqn 3 is k1*eqn1 + k2*eqn2 so System is linear. The solution says System is not linear. Why ?
 
mym786 said:
My attempt to the solution.
...
eqn 3 is k1*eqn1 + k2*eqn2 so System is linear. The solution says System is not linear. Why ?

That's good. Your answer is correct, it is a linear system. It's not time invariant (therefore not LTI) but it is linear.
 
Back
Top