Consider a continuous random variable $$X=\min\{Y_1,Y_2,Y_3\}$$ where $Y_1,Y_2,Y_3$ are iid, non-negative random variables having the same PDF, $f_{Y}(x)$ and CDF $F_{Y}(x)$. The PDF of X is well-known and is given by
$$f_{X}(x)=3(1-F_{Y}(x))^2 f_{Y}(x)$$
I want to verify that $f_{X}(x)$ is a valid PDF, that is $\int_{0}^{\infty} f_{X}(x)=1$. If I want to check the area under $f_{X}(x)$, how should I proceed. That is,
$$\int_{0}^{\infty} f_{X}(x)~dx=3 \int_{0}^{\infty}(1-F_{Y}(x))^2 f_{Y}(x)~dx$$
How should I prove that $$\int_{0}^{\infty}\left(1-F_{Y}(x)\right)^2 f_{Y}(x)~dx=\frac{1}{3}$$ so that $\int_{0}^{\infty} f_{X}(x)=1$. Please throw some bones.
There really is nothing to do. The usual way of showing that the pdf of $X$ is what it is is to first find the cdf, and then differentiate. So before finding the pdf, you knew the pdf.
But if the pdf of $X$ was just given to you, integrate, making the substitution $u=F_Y(x)$. Then $du=f_Y(x)\,dx$, so you are just integrating $3(1-u)^2$.