I have seen quite a few posts but it seems not many answered the question correctly. So I am a bit confused.
My Understanding: Given $(\Omega, \mathcal{A})$ and $(R,B(R))$; let $X$, $Y$ be random variables that $X,Y: \Omega \rightarrow \mathbb R$
$$\sigma(X,Y) = \sigma\left(X^{-1}(B_i)\bigcap Y^{-1}(B_j)\right) = \{ \omega \in \Omega: (X(\omega),Y(\omega)) \in (B_i, B_j)\} \in \mathcal{A} \tag1$$
Or in plain english: $\sigma(X,Y)$ is a sigma algebra that is generated by sets of $\omega$ that satisfy $X(\omega) \in B_i$ and $Y(\omega) \in B_j$ at the same time
Then my gut tells me that because the preimage of the intersection is the intersection of the preimages, which means $$\sigma(X,Y) = \sigma\left(\sigma(X) \bigcap \sigma(Y)\right)$$
I used the following example to test (1) and (2) and it did work $$ X(\omega) = \begin{cases} 1 & \omega \in \{tt, hh\} \\ 0 & \omega \in \{th, ht\} \end{cases} $$
$$ Y(\omega) = \begin{cases} 1 & \omega \in \{tt, hh\} \\ 2 & \omega \in \{th\} \\ 3 & \omega \in \{ht\} \end{cases} $$
$$\Omega = \{tt,hh,th,ht\}$$
Am I correct with (1) and (2)