Weakened presuppositions of the strong law of large numbers

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Is there some version of the strong law of large numbers which only requires pairwise independent random variables, does not suppose identical distributions for them, but guarantees the convergence a. s. as customary?

EDIT: Posted on MathOverflow.

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$X_n=n$ is an example of a sequence of independent random variables for which $\frac 1n \sum\limits_{k=1}^{n} X_k \to \infty$ alomost surely.