English

Weak convergence of positive self-similar Markov processes and overshoots of L\'{e}vy processes

Probability 2007-05-23 v2

Abstract

Using Lamperti's relationship between L\'{e}vy processes and positive self-similar Markov processes (pssMp), we study the weak convergence of the law Px\mathbb{P}_x of a pssMp starting at x>0x>0, in the Skorohod space of c\`{a}dl\`{a}g paths, when xx tends to 0. To do so, we first give conditions which allow us to construct a c\`{a}dl\`{a}g Markov process X(0)X^{(0)}, starting from 0, which stays positive and verifies the scaling property. Then we establish necessary and sufficient conditions for the laws Px\mathbb{P}_x to converge weakly to the law of X(0)X^{(0)} as xx goes to 0. In particular, this answers a question raised by Lamperti [Z. Wahrsch. Verw. Gebiete 22 (1972) 205--225] about the Feller property for pssMp at x=0x=0.

Keywords

Cite

@article{arxiv.math/0406015,
  title  = {Weak convergence of positive self-similar Markov processes and overshoots of L\'{e}vy processes},
  author = {M. E. Caballero and L. Chaumont},
  journal= {arXiv preprint arXiv:math/0406015},
  year   = {2007}
}

Comments

Published at http://dx.doi.org/10.1214/009117905000000611 in the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org)