Absolute continuity of a distribution function This appeared on an exam I took.
$Z \sim \text{Uniform}[0, 2\pi]$, and $X  = \cos Z$ and $Y = \sin Z$. Let $F_{XY}$ denote the joint distribution function of $X$ and $Y$.
Calculate $\mathbb{P}\left[X+ Y \leq 1\right]$. So this was easy - 
$$\begin{align}
 \mathbb{P}\left[X+Y \leq 1\right] &= \mathbb{P}\left[\sin Z+ \cos Z \leq 1\right] \\
&=\mathbb{P}\left[\sqrt{2}\sin\left(Z+\frac{\pi}{4}\right)\leq 1\right] \\
&= \mathbb{P}\left[Z \leq \arcsin\frac{1}{\sqrt{2}} - \frac{\pi}{4} \right] \\
&= \dfrac{\arcsin\frac{1}{\sqrt{2}} - \frac{\pi}{4}}{2\pi}
\end{align}
$$
But then, the question asked if $F_{XY}$ was absolutely continuous. I don't think so, but how would I prove it?
I thought about proceeding like this
$$ 
\begin{align}
F_{XY}(x, y) &= \mathbb{P}\left[X \leq x, Y \leq y\right],\; x, y \in [0, 1] \\
&= \mathbb{P}\left[Z \leq \min(\arccos x, \arcsin y)\right]
\end{align}
$$
This is definitely continuous, but is it absolutely continuous?
Thanks!

The absolute continuity meant here is not the absolute continuity of the function $F_{X,Y}(x,y)$, but rather the absolute continuity of the measure $\mathrm{d}F_{X,Y}(x,y)$ with respect to Lebesgue measure on $\mathbb{R}^2$.
According to Wikipedia the measure is absolutely continuous is for every  $\epsilon > 0$, there exists $\delta > 0$, such that $\int_A \mathrm{d}F_{X,Y}(x,y) < \epsilon$ for all subsets $A$ such that $\int_A \mathrm{d}x \mathrm{d}y < \delta$.
It is clear that if you choose $A$ to be an anulus with inner radius $1-\delta/4$ and outer radius $1+\delta/4$, its Lebesgue measure if going to be $ \pi \delta$, while $\int_A \mathrm{d}F_{X,Y}(x,y) = 1$, because the annulus contains the entire support of $(X,Y)$ random vector, which is the unit circle. 
By the way, I am afraid you incorrectly determined the $F_{X,Y}(x,y)$. Remember $x$ and $y$ both range from $-1$ to $1$.
