paper

How many digits are needed?

arXiv:2307.06685

Abstract

Let be the digits in the base- expansion of a random variable defined on where is an integer. For , we study the probability distribution of the (scaled) remainder : If has an absolutely continuous CDF then converges in the total variation metric to the Lebesgue measure on the unit interval. Under weak smoothness conditions we establish first a coupling between and a non-negative integer valued random variable so that follows and is independent of , and second exponentially fast convergence of and its PDF . We discuss how many digits are needed and show examples of our results. The convergence results are extended to the case of a multivariate random variable defined on a unit cube.

22 pages, 3 figures

How many digits are needed? · wovepaper