Answer

Let \(X_{i}\) denote the random variables with respective parameters \(\lambda_{i}\).

Note that

\[ \begin{aligned} P(min(X_{1}, X_{2}, \ldots, X_{n}) > x) &= P(X_{1} > x, X_{2} > x, \ldots, X_{n} > x)\newline &= \prod_{i=1}^{n} (1 - P(X \leq x))\newline &= \prod_{i=1}^{n} e^{-\lambda_{i}x} = exp(-\sum_{i=1}^{n}\lambda_{i} x) \end{aligned} \]

which is an exponential random variable with the rates added together.