Approximation and error analysis of forward–backward SDEs driven by general Lévy processes using shot noise series representations

On Tamed Euler Approximations of SDEs Driven by Lévy Noise with Applications to Delay Equations

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 ass...

Weak Approximation of SDEs by Discrete-Time Processes

We consider the martingale problem related to the solution of an SDE on the line. It is shown that the solution of this martingale problem can be approximated by solutions of the corresponding time-discrete martingale problems under some conditions. This criterion is especially expedient for establishing the convergence of population processes to SDEs. We also show that the criterion yields a w...

Nonlinear SDEs driven by Lévy processes and related PDEs

In this paper we study general nonlinear stochastic differential equations, where the usual Brownian motion is replaced by a Lévy process. We also suppose that the coefficient multiplying the increments of this process is merely Lipschitz continuous and not necessarily linear in the time-marginals of the solution as is the case in the classical McKean-Vlasov model. We first study existence, uni...

Shot Noise Cox Processes

ec 2 00 8 REGULARITY OF ORNSTEIN - UHLENBECK PROCESSES DRIVEN BY A LÉVY WHITE NOISE

The paper is concerned with spatial and time regularity of solutions to linear stochastic evolution equation perturbed by Lévy white noise ”obtained by subordination of a Gaussian white noise”. Sufficient conditions for spatial continuity are derived. It is also shown that solutions do not have in general cádlág modifications. General results are applied to equations with fractional Laplacian. ...