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Laws of Large Numbers and Continuity of Processes

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High Dimensional Probability

Part of the book series: Progress in Probability ((PRPR,volume 43))

Abstract

Lai [7] has shown that for a sequence (X k)k1 of independent copies of a realvalued, centered r.v. X, the strong law of large numbers (SLLN) holds if and only if that sequence is a.s. Abel convergent to 0. That surprising equivalence between Cesaro and Abel convergence remains true in other situations, for instance when the independent r.v. X k. are symmetric, but not necessarily identically distributed (see Martikainen [8], Mikosch and Norvaisa [9]). Stated in a slightly different way, these two convergence results assert that for a sequence (X k) of independent r.v. which are either centered and identically distributed or symmetric, the SLLN is equivalent to the a.s. paths-continuity of the following process (ζ(t), t ∈ [0,1]):

$$ \zeta (t)\left\{ {_{0a.s{\text{ if }}t = 1.}^{(1 - t)\sum\limits_{k > 1} {t^k X_k {\text{ }}\forall t \in [0,1['} } } \right. $$

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References

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© 1998 Springer Basel AG

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Heinkel, B. (1998). Laws of Large Numbers and Continuity of Processes. In: Eberlein, E., Hahn, M., Talagrand, M. (eds) High Dimensional Probability. Progress in Probability, vol 43. Birkhäuser, Basel. https://doi.org/10.1007/978-3-0348-8829-5_9

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  • DOI: https://doi.org/10.1007/978-3-0348-8829-5_9

  • Publisher Name: Birkhäuser, Basel

  • Print ISBN: 978-3-0348-9790-7

  • Online ISBN: 978-3-0348-8829-5

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