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How Many Digits are Needed?

  • Ira W. Herbst,
  • Jesper Møller,
  • Anne Marie Svane

摘要

Let \(X_1,X_2,...\) X 1 , X 2 , . . . be the digits in the base-q expansion of a random variable X defined on [0, 1) where \(q\ge 2\) q 2 is an integer. For \(n=1,2,...\) n = 1 , 2 , . . . , we study the probability distribution \(P_n\) P n of the (scaled) remainder \(T^n(X)=\sum _{k=n+1}^\infty X_k q^{n-k}\) T n ( X ) = k = n + 1 X k q n - k : If X has an absolutely continuous CDF then \(P_n\) P n converges in the total variation metric to the Lebesgue measure \(\mu \) μ on the unit interval. Under weak smoothness conditions we establish first a coupling between X and a non-negative integer valued random variable N so that \(T^N(X)\) T N ( X ) follows \(\mu \) μ and is independent of \((X_1,...,X_N)\) ( X 1 , . . . , X N ) , and second exponentially fast convergence of \(P_n\) P n and its PDF \(f_n\) f n . We discuss how many digits are needed and show examples of our results.