Linear system

A system is said to be linear if it satisfies the principle of superposition i.e if for an input A the system gives an output X and for an input B the system gives output then for an input ( a*A + b*B ) the system should yield the output as ( a*X + b*B ). Where a and b are any complex numbers.

Examples of linear system

$ X1(t)=\ 2t $

$ X2(t)=\ 2t^2 $

assume the function $ Y(t)=\ X(t) $

$ Y1(t)=\ 2t $

$ Y2(t)=\ 2t^2 $

now for $ aY1(t)+bY2(t)=\ a*2t+b*2t^2=[aX1(t)+bX2(t)] $

thus the given system$ Y(t)=\ X(t) $ is linear


Examples of non linear system

$ X1(t)=\ t $

$ X2(t)=\ t^2 $

assume the function $ Y(t)=\ sin[X(t)] $

$ Y1(t)=\ sin(t) $

$ Y2(t)=\ sin(t^2) $

now for $ aY1(t)+bY2(t)=a*sin(t)+b*sin(t^2)\neq sin[aX1(t)+bX2(t)] $

thus the given system$ Y(t)=\ sin[X(t)] $ is not a linear system

Alumni Liaison

Abstract algebra continues the conceptual developments of linear algebra, on an even grander scale.

Dr. Paul Garrett