Self-averaging sequences which fail to converge
Probability
2016-10-04 v2
Abstract
We consider self-averaging sequences in which each term is a weighted average over previous terms. For several sequences of this kind it is known that they do not converge to a limit. These sequences share the property that th term is mainly based on terms around a fixed fraction of . We give a probabilistic interpretation to such sequences and give weak conditions under which it is natural to expect non-convergence. Our methods are illustrated by application to the group Russian roulette problem.
Cite
@article{arxiv.1609.07971,
title = {Self-averaging sequences which fail to converge},
author = {Eric Cator and Henk Don},
journal= {arXiv preprint arXiv:1609.07971},
year = {2016}
}
Comments
12 pages, 2 figures