Part E. Linearity and Time Invariance

A discrete-time system is such that when the input is one of the signals in the left column, then the output is the corresponding signal in the right column:

Input      Output
X0[n]=δ[n]      Y0[n]=δ[n-1]
X1[n]=δ[n-1]      Y1[n]=4δ[n-2]
X2[n]=δ[n-2]      Y2[n]=9 δ[n-3]
X3[n]=δ[n-3]      Y3[n]=16 δ[n-4]
...       ...
Xk[n]=δ[n-k]      Yk[n]=(k+1)$ ^{2} $ δ[n-(k+1)] For any non-negative integer k

Can This System Be Time Invariant?

Let the system be defined according to the first line, input: X0[n]=δ[n] and output: Y0[n]=δ[n-1] and time delay of 3. Using the same method as in Part D, we can determine whether this system is time invariant or not.

δ[n] -> time delay -> δ[n-3] -> system -> 16δ[n-4]

δ[n] -> system -> δ[n-1] -> time delay -> δ[n-4]


Since both cascades produce different outputs, this system is NON-time invariant.


What Input X[n] Would Yield the Output Y[n]=u[n-1]?

According to the definition of the DT unit impulse that was given in class, u[n]=$ \sum_{k=0}^{\infty} $ δ[n-k]. This means that the unit impulse is nothing more than the sum of all shifted deltas from 0 to infinity. Now, we know that the input must be of this form. So, in order to get the correct time shift, we simply need to subtract k+1 instead of k. So, the input that produces the output Y[n]=u[n-1], is

X[n]=$ \sum_{k=0}^{\infty} $ δ[n-(k+1)].

Alumni Liaison

Correspondence Chess Grandmaster and Purdue Alumni

Prof. Dan Fleetwood