We investigate the duration of an elimination process for
identifying a winner by coin tossing or, equivalently, the height of a random
incomplete trie. Applications of the process include the election of a leader
in a computer network. Using direct probabilistic arguments we obtain exact
expressions for the discrete distribution and the moments of the height.
Elementary approximation techniques then yield asymptotics for the
distribution. We show that no limiting distribution exists, as the asymptotic
expressions exhibit periodic fluctuations.
¶ In many similar problems associated with digital trees, no such
exact expressions can be derived. We therefore outline a powerful general
approach, based on the analytic techniques of Mellin transforms, Poissonization
and de-Poissonization, from which distributional asymptotics for the height can
also be derived. In fact, it was this complex variables approach that led to
our original discovery of the exact distribution. Complex analysis methods are
indispensable for deriving asymptotic expressions for the mean and variance,
which also contain periodic terms of small magnitude.
@article{1035463332,
author = {Fill, James Allen and Mahmoud, Hosam M. and Szpankowski, Wojciech},
title = {On the distribution for the duration of a randomized leader
election algorithm},
journal = {Ann. Appl. Probab.},
volume = {6},
number = {1},
year = {1996},
pages = { 1260-1283},
language = {en},
url = {http://dml.mathdoc.fr/item/1035463332}
}
Fill, James Allen; Mahmoud, Hosam M.; Szpankowski, Wojciech. On the distribution for the duration of a randomized leader
election algorithm. Ann. Appl. Probab., Tome 6 (1996) no. 1, pp. 1260-1283. http://gdmltest.u-ga.fr/item/1035463332/