1. Not finding help here? Sign up for a free 30min tutor trial with Chegg Tutors
    Dismiss Notice
Dismiss Notice
Join Physics Forums Today!
The friendliest, high quality science and math community on the planet! Everyone who loves science is here!

Testing Linearity of System

  1. Jul 15, 2011 #1
    1. The problem statement, all variables and given/known data

    Two system are given as follows :-

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

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

    Test linearity of systems.


    2. Relevant equations



    3. The attempt at a solution
     
  2. jcsd
  3. Jul 15, 2011 #2

    uart

    User Avatar
    Science Advisor

    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?
     
  4. Jul 15, 2011 #3

    HallsofIvy

    User Avatar
    Staff Emeritus
    Science Advisor

    Main point, do you know what "linearity" means for differential equations?
     
  5. Jul 16, 2011 #4
    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 ?
     
  6. Jul 16, 2011 #5

    uart

    User Avatar
    Science Advisor

    That's good. Your answer is correct, it is a linear system. It's not time invariant (therefore not LTI) but it is linear.
     
Know someone interested in this topic? Share this thread via Reddit, Google+, Twitter, or Facebook




Similar Discussions: Testing Linearity of System
  1. Linear system stability (Replies: 10)

Loading...