Separation distance ($s_x(t)$)

For a finite Markov chain with stationary distribution $\pi$, the Separation distance from an initial state $x$ isIf $\tau$ is a strong stationary time, then $s_x(t)\le {\mathbb{P}}_x(\tau >t)$, and total variation distance is at most Separation distance.