-Convergence Rate of Backward Euler Schemes for Monotone SDEs
arXiv:2101.10022 · doi:10.1007/s10543-022-00923-1
Abstract
We give a unified method to derive the strong convergence rate of the backward Euler scheme for monotone SDEs in -norm, with general . The results are applied to the backward Euler scheme of SODEs with polynomial growth coefficients. We also generalize the argument to the Galerkin-based backward Euler scheme of SPDEs with polynomial growth coefficients driven by multiplicative trace-class noise.
References in corpus (15)
- 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
- Numerical approximations of 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 Approximation of Stochastic Allen-Cahn Equation with White Noise
- Strong Convergence Rate of Splitting Schemes for Stochastic Nonlinear Schrödinger Equations
- Strong convergence rates for nonlinearity-truncated Euler-type approximations of stochastic Ginzburg-Landau equations
- On the discretisation in time of the stochastic Allen-Cahn equation
- On the backward Euler approximation of the stochastic Allen-Cahn equation
- Optimal error estimates of Galerkin finite element methods for stochastic Allen-Cahn equation with additive noise
- Mean-square convergence of the BDF2-Maruyama and backward Euler schemes for SDE satisfying a global monotonicity condition
- Strong convergence rates for explicit space-time discrete numerical approximations of stochastic Allen-Cahn equations
- Strong and weak divergence of exponential and linear-implicit Euler approximations for stochastic partial differential equations with superlinearly growing nonlinearities
- Error estimates of semi-discrete and fully discrete finite element methods for the Cahn-Hilliard-Cook equation
Cited by in corpus (4)
- Numerical Unique Ergodicity of Monotone SDEs driven by Nondegenerate Multiplicative Noise
- Central limit theorem for temporal average of backward Euler--Maruyama method
- Numerical Ergodicity and Uniform Estimate of Monotone SPDEs Driven by Multiplicative Noise
- Harnack Inequalities and Ergodicity of Stochastic Reaction-Diffusion Equation in