How do I calculate this sum:
$$\sum_{i=1}^{\min(n,k-1)}\frac{1}{(1-p)^i}$$
It is like a geometric sum, but it has the minimum which I do not know how to deal with.
I got this sum while calculating two random variables $X+Y$, such that $X$~$U(1,n)$ , $Y$~$G(p)$, $n \in \mathbb{N}, 0<p<1$.
$$\begin{align}P(X+Y=k) &= \sum_{i=1}^{\min(n,k-1)} P(X=i,Y=k-i) \\[1ex] &=\sum_{i=1}^{\min(n,k-1)} P(X=i) \cdot P(Y=k-i) \\[1ex] &=\sum_{i=1}^{\min(n,k-1)} \frac{1}{n} \cdot (1-p)^{k-i-1}p\\[1ex]&=\frac{(1-p)^{k-1}p}{n} \cdot \sum_{i=1}^{\min(n,k-1)} \frac{1}{(1-p)^i} \\[1ex] &\end{align}$$
Thanks a lot!