This is the density function for random variable $X$: $$f(x)=\begin{cases}2x&\text{ if }& 0\leq x\leq 1\\0&\text{ otherwise }.\end{cases}$$
Compute the density functions for $2X+1$ and $X^2$.
This is the density function for random variable $X$: $$f(x)=\begin{cases}2x&\text{ if }& 0\leq x\leq 1\\0&\text{ otherwise }.\end{cases}$$
Compute the density functions for $2X+1$ and $X^2$.
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Both functions are bijective over the support, so it is a straight forward application of the Jacobian transformation theorem.
$$f_{g(X)}(y) = \begin{vmatrix}\dfrac{\partial~g^{\small-1}(y)}{\partial~y\hspace{5ex}}\end{vmatrix}\;f_X(g^{\small-1}(y))$$
Where you have