To solve this problem, we need to determine the Region of Convergence (ROC) of the Z-transform for the given signal \( x(n) = \delta(n - k) \), where \( k > 0 \).
- Z-transform: The Z-transform of a discrete-time signal \( x(n) \) is given by:
\[ X(z) = \sum_{n=-\infty}^{\infty} x(n) z^{-n} \]
- Delta function \( \delta(n - k) \): The delta function \( \delta(n - k) \) is defined as:
\[ \delta(n - k) = \begin{cases} 1 & \text{if } n = k \\ 0 & \text{otherwise} \end{cases} \]
For the signal \( x(n) = \delta(n - k) \), the Z-transform is:
\[ X(z) = z^{-k} \]
The ROC of the Z-transform depends on the nature of the signal. For the delta function \( \delta(n - k) \), the Z-transform is a simple power of \( z^{-k} \), and this function is valid for the entire \( z \)-plane except at \( z = 0 \) (where it would lead to an undefined result for \( z^{-k} \)).
The ROC of the signal \( x(n) = \delta(n - k), \, k > 0 \) is Entire z-plane, except at \( z = 0 \).
What is the voltage across the inductor at $t=0$? (Circuit diagram provided: A 60V voltage source in series with a switch that closes at $t=0$, a 30 ohm resistor, and a 15H inductor.) 
The overall impulse response of the system shown in figure is given by (Block diagram provided: Input $X(n)$ splits. One path goes to $h_1[n]$, another to $h_2[n]$. The outputs of $h_1[n]$ and $h_2[n]$ are subtracted. This result is convolved with $h_3[n]$. Separately, $X(n)$ also goes to $h_5[n]$. The output of $h_3[n]$ and $h_5[n]$ are subtracted. This result is convolved with $h_4[n]$ to produce $y(n)$.) 