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October, 1987 A Two-Parameter Maximal Ergodic Theorem with Dependence
Terry R. McConnell
Ann. Probab. 15(4): 1569-1585 (October, 1987). DOI: 10.1214/aop/1176991994

Abstract

Let $X_1, X_2, \ldots$ and $Y_1, Y_2, \ldots$ be independent sequences of i.i.d. $U(0, 1)$ random variables. We characterize completely those Borel functions $F$ on $\lbrack 0, 1\rbrack^2$ for which the strong law of large numbers and the maximal ergodic theorem hold for the doubly indexed family $(1/nm)\sum_{i \leq n, j \leq m}F(X_i, Y_j)$.

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Terry R. McConnell. "A Two-Parameter Maximal Ergodic Theorem with Dependence." Ann. Probab. 15 (4) 1569 - 1585, October, 1987. https://doi.org/10.1214/aop/1176991994

Information

Published: October, 1987
First available in Project Euclid: 19 April 2007

zbMATH: 0656.28011
MathSciNet: MR905349
Digital Object Identifier: 10.1214/aop/1176991994

Subjects:
Primary: 28D05
Secondary: 60G60

Keywords: Decoupling , Maximal ergodic theorem , Strong law of large numbers , Two-parameter martingales

Rights: Copyright © 1987 Institute of Mathematical Statistics

Vol.15 • No. 4 • October, 1987
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