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Article
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The Quarterly Journal of Mathematics
Article . 1968 . Peer-reviewed
Data sources: Crossref
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IRREGULARITIES OF DISTRIBUTION

Irregularities of distribution
Authors: Schmidt, W. M.;

IRREGULARITIES OF DISTRIBUTION

Abstract

Ist \(\omega\) eine unendliche Folge von reellen Zahlen \(x_1, x_2,\dots\) im Einheitsintervall \(0\le x\le 1\), und ist \(0\le \alpha 1\), so sei \(Z(n,\alpha)\) die Anzahl der Zahlen \(x_i\) mit \(1\le i\le n\) im Intervall \(0\le x\le \alpha\), es sei \(D(n,\alpha) = \vert Z(n,a\alpha) - n\alpha\vert\) und schließlich sei \(D(n)\) das Supremum von \(D(n,a)\) über alle \(\alpha\). \(D(n)\) wird gewöhnlich als Diskrepanz bezeichnet; K. F. Roth konnte 1954 zeigen, daß \(\limsup (D(n)/(\log n)^{1/2})\) positiv ist. Jetzt wird bewiesen, daß es unendlich viele Zahlen \(\alpha\) gibt, für die \[ \limsup (D(n,\alpha)/(\log n)^{1/2})\] positiv ist. Dies bestätigt eine Vermutung von Erdős. Es wird gezeigt, daß die Menge der Zahlen \(\alpha\) mit dieser Eigenschaft eine Gewinnmenge des Spieles von Banach-Mazur ist. Weiter ist für fast alle Zahlen \(\alpha\) \[ \limsup (D(n,\alpha)/(\log \log n)^{1/2}) \] positiv. Ein wesentliches Hilfsmittel bei den Beweisen ist eine Verallgemeinerung einer Abschätzung von K. F. Roth für einen gewissen Mittelwert von \(D(n,\alpha)^2\).

Related Organizations
Keywords

number theory, Irregularities of distribution, discrepancy

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Average
Top 10%
Average
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