Applying results
we have
\begin{equation}
\begin{split}
\mathbb{P}(X = x_n)
& = \mathbb{P} \left( \{ X = x_n \} \cap \bigcup_{m = 1}^M \{ Y = y_m \} \right) \\
& = \mathbb{P} \left( \{ X = x_n \} \cap \bigcup_{m = 1}^M \{ Y = y_m \} \right) \\
& = \mathbb{P} \left( \bigcup_{m = 1}^M (\{ X = x_n \} \cap \{ Y = y_m \}) \right) \\
& = \mathbb{P} \left( \bigcup_{m = 1}^M (\{ X = x_n, Y = y_m \}) \right) \\
& = \sum_{m = 1}^M \mathbb{P}(X = x_n, Y = y_m)
\end{split}
\end{equation}
$\square$