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 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 and show that is a solution to a stochastic differential equation with a local time. Also, we provide a representation of 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