Given sample space $\omega = \left\{(x,x,x), (y,y,y), (z,z,z), (x,y,z), (x,z,y), (y,z,x), (y,x,z), (z,x,y), (z,y,x)\right\}$ with equal probability $\frac{1}{9}$. Show events on $(\omega, \mathscr{F})$ which are pairwise independent but not mutually independent.
My thought I don't quite understand why it's possible to set up such events. The definition of pairwise independent events (for example, $A$ and $B$) is that $P(A\cap B) = P(A)P(B)$. But this is completely false if $A\cap B =\emptyset$, which is quite possible if we take $A=(x,x,x)$ and $B = (y,y,y)$. So how could we create an event that ever avoids this case? And of course, if we could create one satisfying pairwise independent, then the mutually independent would be much easier, because we only need the intersections of at least $\geq 3$ elements among those $9$ elements to be equal to an empty set. But this is quite possible with $A=(x,x,x), B = (y,y,y)$ and $C = (z,z,z)$. I also note that the 3 basis elements of the sample space are $(x,x,x), (y,y,y), (z,z,z)$, but I'm completely stuck on creating such a good events.
Could someone please help me with this problem? Would really appreciate any input.
\{ \}to get braces). Can you find a different pair, where neither one is either ${a,b,c,d}$ nor empty? – Nate Eldredge Sep 15 '16 at 03:09