Determine the expected time until the first arrival. Two people agree to meet at a specified place between 3:00
P.M. and 4:00 P.M. Suppose that you measure time to the nearest
minute relative to 3:00 P.M. so that, for instance, time 40
represents 3:40 P.M. Further suppose that each person arrives
according to the discrete uniform distribution on {0, 1, ..., 60}
and that the two arrival times are independent. Determine the
expected time until the first arrival.

Here I've tried setting :
$X_i$=person i's arrival time with i=1,2
$$P_X(x_i)= \begin{cases}
1/61,  & \text{if $x_i$ $\in[0,1,2,3...60]$} \\
0, & \text{otherwise}
\end{cases} $$
I create a function Z=min{x,y}
$$E(z)=\sum_{z=0}^{60}zP_Z(z)=\sum_{z=0}^{60}z[P(x_1=z,x_2>z)+P(x_1>z,x_2=z)+P(x_1=z,x_2=z)]$$
And that is where I'm kind of stuck because 
I've tried rewrittin $P(x_1=z,x_2>z)$ as $P(x_2>z)P(x_1=z|x_2>z)$ and drawing a little pmf table but still no luck. 
If anybody by any chance knows a much easier way to solve this problem I would be happy to hear from them.
 A: A reusable trick . . .

Since the values of $z$ are nonnegative integers, it follows that
$$E(z) = p_1 + p_2 + p_3 + \cdots$$
where $p_k = P(z \ge k)$.

Hence we get
$$E(z) = \sum_{k=1}^{60} \left(\frac{61-k}{61}\right)^2 = \frac{1210}{61}\approx 19.84$$

To explain the trick . . .

For each positive integer $k$, let $q_k=P(z=k)$.

Then we have 
\begin{align*}
p_1 &= q_1 + q_2 + q_3 +\cdots\\[4pt]
p_2 &= \phantom{q_1 +\; }q_2 + q_3 +\cdots\\[4pt]
p_3 &= \phantom{q_1 + q_2 + \;}q_3 + \cdots\\[4pt]
\vdots\\[4pt]
\end{align*}
hence, summing the columns, we get
$$
p_1 + p_2 + p_3 + \cdots = 1q_1 + 2q_2 + 3q_3 + \cdots
\qquad\qquad\;\;\;\;\;
$$
A: I think that I've found a way around it.
$P(x_2>z|x_1=z)$=$ 60-z\over 61$
So I'm gonna get: (With the assumption that someone can  arrive at time 0) 
$$E(z)=\sum_{z=0}^{60}zP_Z(z)=\sum_{z=1}^{60}z[P(x_1=z,x_2>z)+P(x_1>z,x_2=z)+P(x_1=z,x_2=z)]$$
$$=\sum_{z=1}^{60}z\frac{2(60-z)}{61*61}+\sum_{z=1}^{60}\frac{z}{61}\frac{1}{61}$$
The rest would be to compute that.
And my answer to my own question would be $E(z)=19.8360$
