Logo image
On fractional Lévy processes: tempering, sample path properties and stochastic integration
Preprint   Open access

On fractional Lévy processes: tempering, sample path properties and stochastic integration

Benjamin Cooper Boniece, Gustavo Didier and Farzad Sabzikar
arXiv.org
01 Oct 2019
url
https://doi.org/10.48550/arxiv.1910.00660View
Preprint (Author's original)arXiv.org - Non-exclusive license to distribute Open

Abstract

Dependence Markov analysis Stochastic processes Tempering
We define two new classes of stochastic processes, called tempered fractional L\'{e}vy process of the first and second kinds (TFLP and TFLP \(I\!I\), respectively). TFLP and TFLP \(I\!I\) make up very broad finite-variance, generally non-Gaussian families of transient anomalous diffusion models that are constructed by exponentially tempering the power law kernel in the moving average representation of a fractional L\'{e}vy process. Accordingly, the increment processes of TFLP and TFLP \(I\!I\) display semi-long range dependence. We establish the sample path properties of TFLP and TFLP \(I\!I\). We further use a flexible framework of tempered fractional derivatives and integrals to develop the theory of stochastic integration with respect to TFLP and TFLP \(I\!I\), which may not be semimartingales depending on the value of the memory parameter and choice of marginal distribution.

Metrics

8 Record Views

Details

Logo image