Invariance principles for random walks conditioned to stay positive
arXiv:math/0602306 · doi:10.1214/07-AIHP119
Abstract
Let be a random walk in the domain of attraction of a stable law , i.e. there exists a sequence of positive real numbers such that converges in law to . Our main result is that the rescaled process , when conditioned to stay positive, converges in law (in the functional sense) towards the corresponding stable Lévy process conditioned to stay positive. Under some additional assumptions, we also prove a related invariance principle for the random walk killed at its first entrance in the negative half-line and conditioned to die at zero.
Published in at http://dx.doi.org/10.1214/07-AIHP119 the Annales de l'Institut Henri Poincaré - Probabilités et Statistiques (http://www.imstat.org/aihp/) by the Institute of Mathematical Statistics (http://www.imstat.org)
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