Compute $P(X_1=\min\{X_1,…,X_5\},X_5=\max\{X_1,…,X_5\})$ for $(X_i)$ i.i.d. uniformly distributed

probabilityrandom variablesself-learning

In my exam preparation I'm currently stuck at this task:
Let $X_1,..,X_5$ be i.i.d random variables each having uniform distributions in the interval (0, 1)
Find the probability that $X_1$ is the minimum and $X_5$ is the maximum among these random variables.

$P(X_1 \leq$ min{$X_2$,…,$X_5$)

=$P(X_1 \leq X_2, X_1 \leq X_3, …, X_1 \leq X_5)$

=$P(X_1 \leq X_2)\cdot … \cdot P(X_1 \leq X_5)$

=$P(X_1 – X_2 \geq 0)\cdot … \cdot P(X_1 – X_5 \geq 0)$

=$\frac{1}{2}^4$

This is my (wrong) calculation for now. I made the maximum with the same flawed idea in mind and I just cannot think of the correct answer*. Thanks for any hint!

*Per answersheet it is $\frac{1}{20}$. But I need to understand how to get there.

Best Answer

Your method fails because the events $X_1<X_2$ and $X_1<X_3$ are not independent.

Per the given distribution and independence, the probability that any two of the random vars are equal is $0$. Hence one of them is the minimal and another is the maximal among them. By mere symmetry, the probability that $\min =X_1$ and $\max = X_5$ is the same as the probability of $\min=X_i$, $\max=X_j$ for any choice of $i\ne j$. As there are $20$ such choices, we arrive at $\frac1{20}$.