Chaman Kumar

PR
4papers
196citations
Novelty30%
AI Score20

4 Papers

PRJan 22, 2015
On Tamed Euler Approximations of SDEs Driven by Lévy Noise with Applications to Delay Equations

Konstantinos Dareiotis, Chaman Kumar, Sotirios Sabanis

We extend the taming techniques for explicit Euler approximations of stochastic differential equations (SDEs) driven by Lévy noise with super-linearly growing drift coefficients. Strong convergence results are presented for the case of locally Lipschitz coefficients. Moreover, rate of convergence results are obtained in agreement with classical literature when the local Lipschitz continuity assumptions are replaced by global and, in addition, the drift coefficients satisfy polynomial Lipschitz continuity. Finally, we further extend these techniques to the case of delay equations.

PRNov 10, 2016
On Explicit Approximations for Lévy Driven SDEs with Super-linear Diffusion Coefficients

Chaman Kumar, Sotirios Sabanis

Motivated by the results of \cite{sabanis2015}, we propose explicit Euler-type schemes for SDEs with random coefficients driven by Lévy noise when the drift and diffusion coefficients can grow super-linearly. As an application of our results, one can construct explicit Euler-type schemes for SDEs with delays (SDDEs) which are driven by Lévy noise and have super-linear coefficients. Strong convergence results are established and their rate of convergence is shown to be equal to that of the classical Euler scheme. It is proved that the optimal rate of convergence is achieved for $\mathcal{L}^2$-convergence which is consistent with the corresponding results available in the literature.