So for $n$ events $A_{1}, ...,A_{n}$ the chain rule for conditional probability states that
$P(A_{1} \cap....\cap A_{n}) = P(A_{1})\times... \times P(A_{n}|A_{1}\cap....\cap A_{n-1})$
What about infinitely many events?
So for $n$ events $A_{1}, ...,A_{n}$ the chain rule for conditional probability states that
$P(A_{1} \cap....\cap A_{n}) = P(A_{1})\times... \times P(A_{n}|A_{1}\cap....\cap A_{n-1})$
What about infinitely many events?
Yes, there's no issue. The LHS is a (weakly) decreasing sequence of non-negative real numbers so it must have a limit, and same for the RHS, and those limits must agree because they are the same sequence.