Recurrent extensions of real-valued self-similar Markov processes
Probability
2019-06-10 v2
Abstract
Let be a self-similar Markov process taking values in such that the state 0 is a trap. In this paper, we present a necessary and sufficient condition for the existence of a self-similar recurrent extension of that leaves 0 continuously. The condition is expressed in terms of the associated Markov additive process via the Lamperti-Kiu representation. Our results extend those of Fitzsimmons (2006) and Rivero (2005, 2007) where the existence and uniqueness of a recurrent extension for positive self similar Markov processes were treated. In particular, we describe the recurrent extension of a stable L\'evy process which to the best of our knowledge has not been studied before.
Keywords
Cite
@article{arxiv.1808.00129,
title = {Recurrent extensions of real-valued self-similar Markov processes},
author = {Henry Pantí and Juan Carlos Pardo and Víctor Manuel Rivero},
journal= {arXiv preprint arXiv:1808.00129},
year = {2019}
}