On the weak convergence rate of an exponential Euler scheme for SDEs governed by coefficients with superlinear growth
arXiv:1904.09441 · doi:10.3150/20-BEJ1241
Abstract
We consider the problem of the approximation of the solution of a one-dimensional SDE with non-globally Lipschitz drift and diffusion coefficients behaving as , with . We propose an (semi-explicit) exponential-Euler scheme and study its convergence through its weak approximation error. To this aim, we analyze the regularity of the solution of the associated backward Kolmogorov PDE using its Feynman-Kac representation and the flow derivative of the involved processes. From this, under some suitable hypotheses on the parameters of the model ensuring the control of its positive moments, we recover a rate of weak convergence of order one for the proposed exponential Euler scheme. Finally, numerical experiments are shown in order to support and complement our theoretical result.
References in corpus (5)
- Strong convergence of an explicit numerical method for SDEs with nonglobally Lipschitz continuous coefficients
- Strong and weak divergence in finite time of Euler's method for stochastic differential equations with non-globally Lipschitz continuous coefficients
- Euler approximations with varying coefficients: The case of superlinearly growing diffusion coefficients
- On a perturbation theory and on strong convergence rates for stochastic ordinary and partial differential equations with non-globally monotone coefficients
- Strong convergence of the symmetrized Milstein scheme for some CEV-like SDEs
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