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On the strong law of large numbers for pairwise independent random variables. (English) Zbl 0534.60028
Using a method of N. Etemadi [Z. Wahrscheinlichkeitstheor. Verw. Geb. 55, 119-122 (1981; Zbl 0438.60027)] the authors prove: if $$X_ 1,X_ 2,..$$. are pairwise independent r.v.’s with $\sum^{\infty}_{m=1}m^{-2}Var(X_ m) < \infty \tag{\text{i}}$ and $n^{-1}\sum^{n}_{m=1}E| X_ m-EX_ m| = O(1) \tag{\text{ii}}$ then the strong law of large numbers holds i.e. $\lim n^{-1} \sum^{n}_{m=1} (X_ m-EX_ m) = 0 \quad\text{a.s.}$ It is also proved that the theorem does not hold true if the condition of pairwise independence is replaced by orthogonality. The necessity of condition (ii) is also investigated.
Reviewer: P.Révész

##### MSC:
 60F15 Strong limit theorems 40A30 Convergence and divergence of series and sequences of functions
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##### References:
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