Consider the two coins (i.e., probability measures on the discrete set ${0,1}$) $C_{0.9}$ and $C_{0.99}$, where $C_{x}$ is the coin having probability of turning head equal to $x$.
Let $\mu_{0.9}$ and $\mu_{0.99}$ be the probability measures on $2^{\omega}$ (Markov chains) obtained by flipping infinitely often the two coin $C_{0.9}$ and $C_{0.99}$ respectively. So that, for instance, the probability assigned by $\mu_{0.9}$ to the (open) set of sequences starting with two zeros is $0.81$.
Question: I would like to calculate $D(\mu_{0.9}, \mu_{0.99})$ defined as:
$D(\mu_{0.9}, \mu_{0.99})$ = $\displaystyle \bigsqcup_{B} \{ |\mu_{0.9}(B) - \mu_{0.99}(B)| \ \ $ ; $B$ a Borel subset of $2^{\omega} \}$.
I don't know how to approach this problem. I have the feeling that the above supremum should be strictly less than $1$ and that the maximizing event should be the set of sequences starting with about 25 ones. The number 25 comes from the function $f : \mathbb{R}\rightarrow \mathbb{R}$ defined as $f(x)= {0.99}^x - {0.9}^x$ which attains its maximum around 25.
Question 2: More generally, is the function $D$ (mapping pairs of probability measures to the unit interval) as defined above well known?
Thank you in advance for any comment!