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Obtaining Prescribed Rates of Convergence for the Ergodic Theorem
Published online by Cambridge University Press: 20 November 2018
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Let {Yn, n ∊ Z} be an ergodic strictly stationary sequence of random variables with mean zero, where Z denotes the set of integers. For n ∊ N = {1, 2, …}, let Sn = Y1 + Y2 + … + Yn. The ergodic theorem, alias the strong law of large numbers, says that n–lSn → 0 as n → ∞ a.s. If the Yn's are independent and have variance one, the law of the iterated logarithm tells us that this convergence takes place at the rate in the sense that
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It is our purpose here to investigate what other rates of convergence are possible for the ergodic theorem, that is to say, what sequences {bn, n ≧ 1} have the property that
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for some ergodic stationary sequence {Yn, n ∊ Z}.
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- Copyright © Canadian Mathematical Society 1983
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