LIMIT LAWS FOR ERGODIC PROCESSES

作者:Thouvenot Jean Paul*; Weiss Benjamin
来源:Stochastics and Dynamics, 2012, 12(1): 1150012.
DOI:10.1142/S0219493712003596

摘要

The study of limit laws for normalized sums of a sequence of random variables is one of the classical topics in probability theory. We give here two results showing that ergodic stationary processes can admit an arbitrary distribution as the limit of normalized sums. In the first, we take the usual average of the first n variables, but the process is not integrable. In the second, the variables take on only two values and the sequence of normalizing constants is constructed inductively. In both cases the processes can be defined as factors of an arbitrary aperiodic measure preserving system.

  • 出版日期2012-3