For arrays (Si,j)1≤i≤j of random variables that are stationary in an appropriate sense, we show that the fluctuations of the process (S1,n)n=1∞ can be bounded in terms of a measure of the “mean subadditivity” of the process (Si,j)1≤i≤j. We derive universal upcrossing inequalities with exponential decay for Kingman’s subadditive ergodic theorem, the Shannon–MacMillan–Breiman theorem and for the convergence of the Kolmogorov complexity of a stationary sample.
@article{1258380784,
author = {Hochman, Michael},
title = {Upcrossing inequalities for stationary sequences and applications},
journal = {Ann. Probab.},
volume = {37},
number = {1},
year = {2009},
pages = { 2135-2149},
language = {en},
url = {http://dml.mathdoc.fr/item/1258380784}
}
Hochman, Michael. Upcrossing inequalities for stationary sequences and applications. Ann. Probab., Tome 37 (2009) no. 1, pp. 2135-2149. http://gdmltest.u-ga.fr/item/1258380784/