Malliavin regularity and weak approximation of semilinear SPDE with Lévy noise
arXiv:1808.08574
Abstract
We investigate the weak order of convergence for space-time discrete approximations of semilinear parabolic stochastic evolution equations driven by additive square-integrable Lévy noise. To this end, the Malliavin regularity of the solution is analyzed and recent results on refined Malliavin-Sobolev spaces from the Gaussian setting are extended to a Poissonian setting. For a class of path-dependent test functions, we obtain that the weak rate of convergence is twice the strong rate.
arXiv comment22 pages
References in corpus (9)
- Weak convergence for a spatial approximation of the nonlinear stochastic heat equation
- Weak convergence rates for Euler-type approximations of semilinear stochastic evolution equations with nonlinear diffusion coefficients
- Weak convergence rates of spectral Galerkin approximations for SPDEs with nonlinear diffusion coefficients
- Weak convergence rates for spatial spectral Galerkin approximations of semilinear stochastic wave equations with multiplicative noise
- Monte Carlo versus multilevel Monte Carlo in weak error simulations of SPDE approximations
- Covariance structure of parabolic stochastic partial differential equations with multiplicative Lévy noise
- Weak convergence rates for numerical approximations of stochastic partial differential equations with nonlinear diffusion coefficients in UMD Banach spaces
- Kolmogorov Equations and Weak Order Analysis for SPDES with Nonlinear Diffusion Coefficient
- Poisson Malliavin calculus in Hilbert space with an application to SPDE