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Published online by Cambridge University Press: 28 April 2025
Consider nested subdivisions of a bounded real set into intervals defining the digits $X_1,X_2,\ldots$ of a random variable X with a probability density function f. If f is almost everywhere lower semi-continuous, there is a non-negative integer-valued random variable N such that the distribution of
$R=(X_{N+1},X_{N+2},\ldots)$ conditioned on
$S=(X_1,\ldots,X_N)$ does not depend on f. If also the lengths of the intervals exhibit a Markovian structure,
$R\mid S$ becomes a Markov chain of a certain order
$s\ge0$. If
$s=0$ then
$X_{N+1},X_{N+2},\ldots$ are independent and identically distributed with a known distribution. When
$s>0$ and the Markov chain is uniformly geometric ergodic, there is a random time M such that the chain after time
$\max\{N,s\}+M-s$ is stationary and M follows a simple known distribution.