Abstract
It is shown that the following three limits
are a necessary and sufficient condition for the given sequence ω=(x n) =1/∞ n ⊄[0, 1] to have its only distribution functions be all one-jump functions. As an application, such sequences can also be used in deriving estimates of maxf for continuous functionsf defined in [0, 1].
Similar content being viewed by others
References
Fast, H.: Sur la convergence statistique, Colloq. Math.2, 241–244 (1951).
Kuipers, L., Niederreiter, H.: Uniform Distribution of Sequences. New York: J. Wiley 1974.
Myerson, G.: A sampler of recent developments in the distribution of sequences. In: Number theory with an emphasis on the Markoff spectrum (Provo, UT, 1991), Lecture Notes in Pure and App. Math. 147, p. 163–190. New York: Marcel Dekker 1993.
Schoenberg, I. J.: The integrability of certain functions and related summability methods. Amer. Math. Monthly66, 361–375 (1959).
Van Der Corput, J. G.: Verteilungfunktionen I. Proc. Akad. Amsterdam38, 813–821 (1935).
Shanot, J. A., Tamarkin, J. D.: The Problem of Moments. Math. Surveys 1. Providence, R. I. Amer. Math. Soc. 1943.
Niederreiter, H.: A quasi-Monte Carlo method for the approximate computation of the extreme values of a function. In: Studies in Pure Mathematics (To the Memory of Paul Turán) pp. 523–529. Budapest-Basel: Akadémiai Kiadó-Birkhäuser 1983.
Author information
Authors and Affiliations
Additional information
This research was supported by the Slovak Academy of Sciences Grant 363.
Rights and permissions
About this article
Cite this article
Strauch, O. Uniformly maldistributed sequences in a strict sense. Monatshefte für Mathematik 120, 153–164 (1995). https://doi.org/10.1007/BF01585915
Received:
Revised:
Issue Date:
DOI: https://doi.org/10.1007/BF01585915