probability - Cdf and Pdf of independent random variables(iid)

Let $X_1, X_2,...,X_n$ be independent random variables, each having a uniform distribution over $(0,1)$. Let $Z:=\min(X_1, X_2,...,X_n)$ and $Y:=\max(X_1, X_2,...,X_n)$. I need to find the cdf and pdf of $Y$ and $Z$.

Cdf of $Y$ is $$F_Y(x)=P(Y
Then $f_Y(x)=F'_Y(x)=na^{n-1}$.

Cdf of $Z$ is $$F_Z(x)=P(Zz)= P(X_1>x,X_2>x,...X_n>x)=P(X_1>x)P(X_2>x)\ldots P(X_n>x)=1-a\cdot 1-a \cdot 1-a\cdot\ldots\cdot 1-a=[1-a]^n.$$
Then $f_Z(x)=F'_Z(x)=n[1-a]^{n-1}$.

Answer

Let $n \in \mathbb N$ and $X_1, X_2,...,X_n$ be $\sim^{iid}$ Unif$(0,1)$.

Define

$X_i:=\min(X_1, X_2,...,X_n)$

$X_a:=\max(X_1, X_2,...,X_n)$.

What are the distribution and densities of those?

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Let $c \in \mathbb R$.

We have for $X_a$

$$P(X_a < c) = P(X_1

By independence, we have

$$=P(X_1

By identical distribution, we have

$$=[P(X_1

Hence we have

$$F_{Y}(c) = (a)^n$$

$$\to f_{Y}(a) = n(a)^{n-1} a'(c)$$

$$\to f_{Y}(a) = n(a)^{n-1} 1_{c \in [0,1]}$$

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We have for $X_i$

$$P(X_i < c) = 1 - P(X_i \ge c)$$

By independence, we have

$$P(X_i \ge c)=P(X_1 \ge c)P(X_2 \ge c)...P(X_n \ge c)$$

By identical distribution, we have

$$=[P(X_1 \ge c)]^n$$

$$=[1-P(X_1 < c)]^n := [1-a(c)]^n$$

Hence we have

$$F_{X_i}(c) = 1-[1-a(c)]^n$$

$$\to f_{X_i}(c) = -n[1-a(c)]^{n-1}(-a'(c))$$

$$\to f_{X_i}(c) = n[1-a(c)]^{n-1} 1_{c \in [0,1]}$$