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Article
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Transactions of the American Mathematical Society
Article . 1949 . Peer-reviewed
Data sources: Crossref
Transactions of the American Mathematical Society
Article . 1949 . Peer-reviewed
Data sources: Crossref
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On the Strong Law of Large Numbers

On the strong law of large numbers
Authors: Erdős, Pál;

On the Strong Law of Large Numbers

Abstract

\(f(x) = f(x+1)\) besitze in \((0,1)\) den Mittelwert Null sowie die Streuung Eins und \((n_k)\) sei eine Folge von natürlichen Zahlen mit \(n_{k+1}/n_k > c > 1\). Die Frage, welche Bedingung das sog. starke Gesetz \[ g = \lim_{N\to \infty} \sum_{k=1}^N f(n_k x)/N = 0 \] für fast alle \(x\) sichert, ist von Kac, Salem, Zygmund unlängst mit den \(n\)-ten Teilsummen \(S_n(x)\) der Fourierreihe von \(f(x)\) bei \(\varepsilon > 0\) durch \[ A = \int_0^1 (f(x)-S_n(x))^2 dx = O(1/(\log n)^\varepsilon) \] beantwortet worden. Hier wird gezeigt, daß sich diese Bedingung zu der nicht endgültigen \(A=O((\log_2 n)^{2+\varepsilon})\) abschwächen läßt. Wenn auch bei \(n_k=2^k\) der Grenzwert \(g=0\) sich nach Raikov für jede Funktion \(f(x)\) ergibt, muß sonst der Funktion \(f(x)\) irgendeine Bedingung auferlegt werden. Es wird nämlich gezeigt, daß für eine unbeschränkte Funktion \(f(x)\) bei geeigneter Folgen \((n_k)\) sich \[ \varlimsup_{N \to \infty} \sum_{k=1}^N f(n_kx)/N = \infty \] ergibt. Die Möglichkeit von \(g=0\) bei allen beschränkten \(f(x)\) bleibt offen. Bezüglich der richtigen Größenordnung von \(A\) und des Divisors in \(g\) werden Vermutungen angegeben.

Keywords

Strong limit theorems, Probability theory

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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!
16
Average
Top 10%
Average
bronze