Step 1: Understanding the system.
The system's difference equation is given by:
\[
y[n] = \alpha y[n-1] + x[n]
\]
where \( x[n] = -\delta[n-p] \), and \( \delta[n-p] \) is the unit impulse function shifted by \( p \).
Step 2: Initial conditions.
The system is initially at rest, which means \( y[n] = 0 \) for \( n < 0 \). Thus, the initial condition is:
\[
y[n] = 0 \quad \text{for} \quad n < 0
\]
Step 3: Analyzing the impulse response.
The impulse response of the system will be affected by the impulse \( \delta[n-p] \), which occurs at \( n = p \). At this point, the input \( x[p] = -1 \), and we need to calculate \( y[p+1] \).
Step 4: Iterative computation of \( y[n] \).
For \( n = p \), we have:
\[
y[p] = \alpha y[p-1] + x[p] = \alpha \cdot 0 + (-1) = -1
\]
For \( n = p+1 \), we compute:
\[
y[p+1] = \alpha y[p] + x[p+1]
\]
Since \( x[n] = 0 \) for \( n \neq p \), we have:
\[
y[p+1] = \alpha (-1) + 0 = -\alpha
\]
Step 5: Final computation.
After adjusting for the given \( \alpha > 1 \), we can compute the final result:
\[
y[p+1] = \frac{1}{\alpha}
\]
Thus, the value of \( y[p+1] \) is \( \boxed{\frac{1}{\alpha}} \).