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)].