I'm trying to solve the following question:
Let $(X,Y)$ be a randomly chosen point on the unit disk, and let $R={(X^2+Y^2)}^{\frac12}$.
Find the joint density of the vector $(X,R)$.
I'm not sure whether my solution is correct.
First, I've calculated the Jacobian of the transformation:
$$J=det(\frac{\partial X, R}{\partial X,Y})= \frac{Y}{{(X^2+Y^2)}^{\frac12}}=\frac{Y}{R}$$
Now, the joint density should be
$$f_{X,R}(x,r)=\frac{1}{|J|}f_{X,Y}(X,{(R^2-X^2)}^{\frac12})=\frac{r}{{(r^2-x^2)}^{\frac12}}f_{X,Y}(X,{(R^2-X^2)}^{\frac12})$$
Is there any way to simplify this expression without any further information on the distributions of $X$ and $Y$? Should I suppose that $X$ and $Y$ distribute uniformly?