English

On a skew stable L\'{e}vy process

Probability 2021-12-28 v1

Abstract

The skew Brownian motion is a strong Markov process which behaves like a Brownian motion until hitting zero and exhibits an asymmetry at zero. We address the following question: what is a natural counterpart of the skew Brownian motion in the situation that the noise is a stable L\'{e}vy process with finite mean and infinite variance. We define a skew stable L\'{e}vy process XX as the limit of a sequence of stable L\'{e}vy processes which are perturbed at zero. We point out a formula for the resolvent of XX and show that XX is a solution to a stochastic differential equation with a local time. Also, we provide a representation of XX in terms of It\^{o}`s excursion theory.

Keywords

Cite

@article{arxiv.2112.13033,
  title  = {On a skew stable L\'{e}vy process},
  author = {Alexander Iksanov and Andrey Pilipenko},
  journal= {arXiv preprint arXiv:2112.13033},
  year   = {2021}
}

Comments

23 pages

R2 v1 2026-06-24T08:30:55.660Z