A strengthened asymptotic uniform~distribution~property
Abstract:
Asymptotic Uniform Distribution
A sequence of independent variables taking values in ,
with partial sums , for each is said to be asymptotically uniformly
distributed, or for short a.u.d., if:
for any and . We are concerned with estimating the rate
of convergence in (0.1), a question recently discussed by Dolgopyat and Hafouta (2022).
We obtain a quantitative estimate under weaker moment assumptions, by using a different approach.
We deduce from a more general result that if for some function as ,
and some constant , we have, for all and :
then there exists a numerical constant such that for all with , all , and :
Assumption holds if a local limit theorem in the usual form is applicable, and yields a strengthening of Rozanov's necessary condition.
Assume in place of that for each ,
and . For these classes of random variables,
we prove strengthened forms of the asymptotic uniform distribution property, with sharp uniform rate of convergence.
Let , . Then for each such that:
we have:
2010 AMS Mathematics Subject Classification: Primary 60F15; Secondary 60G50, 60F05.
Keywords and phrases: local limit theorem, asymptotic uniform distribution, independent sequences of random variables,
Rozanov's theorem, Poisson summation formula, divisors, Bernoulli random variables, elliptic Theta functions.