Show that $\{x \in X: \sup_{i} f_i(x) > r \}= \bigcup_{i} \{x \in X : f_i(x) >r \}.$
For $x \in \bigcup_{i} \{x \in X : f_i(x) >r \} \implies$ $f_i(x)>r$ for some $i$. Now by the definition of the supremum $\sup_i f_i(x) \ge f_i(x) > r$ so $x \in \{x \in X: \sup_{i} f_i(x) > r \} $.
The other side is hard. If $x \in \{x \in X: \sup_{i} f_i(x) > r \} $. Now this says that $\sup_i f_i(x) > r$. What I need know is that $\sup_i f_i(x) \ge f_i(x)$ for all $i$, but not neccessarily that $f_i(x) > r$. I don’t remember very well the properties of the supremum, but wasn’t it that I could somehow ”squeeze” something in between $\sup_i f_i(x) > r$?
By the definition of supreme, if $t\in \{x \in X: \sup_{i} f_i(x) > r \}$ then for all $\epsilon>0$ there is a $j_{\epsilon}$ such that $$ \sup_{i} f_{i}(t) \geq f_{j_{\epsilon}}(t)>\sup_{i}f_{i}(t)-\epsilon. $$ If $\epsilon=\frac{1}{2}\left( \sup_{i} f_i(x) - r\right)>0$ then we have \begin{align} f_{j_{\epsilon}}(t)>& \sup_{i}f_{i}(t)-\epsilon \\ =& \sup_{i}f_{i}(t)-\frac{1}{2}\left( \sup_{i} f_i(x) - r\right) \\ =& \frac{1}{2}\sup_{i}f_{i}(t)+\frac{1}{2}r \\ >& \frac{1}{2}r+\frac{1}{2}r \\ =& r \end{align} Conclusion $f_{j_{\epsilon}}(t)>r$. Then $t\in \{x \in X: f_{j_{\epsilon}}(x) > r \}$ and $$ t\in \bigcup_{i} \{x \in X: f_i(x) > r \} $$