activity
20142019
most citedWeak convergence rates for Euler-type approximations of semilinear stochastic evolution equations with nonlinear diffusion coefficients

38 citations · 135 across the 9 of their papers we have counts for

collaborators

9 papers

math.NA2019★ 14 cited

Strong and weak divergence of exponential and linear-implicit Euler approximations for stochastic partial differential equations with superlinearly growing nonlinearities

Matteo Beccari, Martin Hutzenthaler, Arnulf Jentzen +3

The explicit Euler scheme and similar explicit approximation schemes (such as the Milstein scheme) are known to diverge strongly and numerically weakly in the case of one-dimension…

math.PR2017

Counterexamples to regularities for the derivative processes associated to stochastic evolution equations

Mario Hefter, Arnulf Jentzen, Ryan Kurniawan

In the recent years there has been an increased interest in studying regularity properties of the derivatives of stochastic evolution equations (SEEs) with respect to their initial…

math.PR2016★ 12 cited

On the mild Itô formula in Banach spaces

Sonja Cox, Arnulf Jentzen, Ryan Kurniawan +1

The mild Ito formula proposed in Theorem 1 in [Da Prato, G., Jentzen, A., \& Röckner, M., A mild Ito formula for SPDEs, arXiv:1009.3526 (2012), To appear in the Trans.\ Amer.\ Math…

math.PR2016★ 7 cited

Weak convergence rates for numerical approximations of stochastic partial differential equations with nonlinear diffusion coefficients in UMD Banach spaces

Mario Hefter, Arnulf Jentzen, Ryan Kurniawan

Strong convergence rates for numerical approximations of semilinear stochastic partial differential equations (SPDEs) with smooth and regular nonlinearities are well understood in…

math.AP2016★ 14 cited

Regularity properties for solutions of infinite dimensional Kolmogorov equations in Hilbert spaces

Adam Andersson, Mario Hefter, Arnulf Jentzen +1

In this article we establish regularity properties for solutions of infinite dimensional Kolmogorov equations. We prove that if the nonlinear drift coefficients, the nonlinear diff…

math.PR2016★ 2 cited

On the differentiability of solutions of stochastic evolution equations with respect to their initial values

Adam Andersson, Arnulf Jentzen, Ryan Kurniawan +1

In this article we study the differentiability of solutions of parabolic semilinear stochastic evolution equations (SEEs) with respect to their initial values. We prove that if the…

math.PR2015★ 14 cited

Existence, uniqueness, and regularity for stochastic evolution equations with irregular initial values

Adam Andersson, Arnulf Jentzen, Ryan Kurniawan

In this article we develop a framework for studying parabolic semilinear stochastic evolution equations (SEEs) with singularities in the initial condition and singularities at the…

math.PR2015★ 38 cited

Weak convergence rates for Euler-type approximations of semilinear stochastic evolution equations with nonlinear diffusion coefficients

Arnulf Jentzen, Ryan Kurniawan

Strong convergence rates for time-discrete numerical approximations of semilinear stochastic evolution equations (SEEs) with smooth and regular nonlinearities are well understood i…

math.PR2014★ 34 cited

Weak convergence rates of spectral Galerkin approximations for SPDEs with nonlinear diffusion coefficients

Daniel Conus, Arnulf Jentzen, Ryan Kurniawan

Strong convergence rates for (temporal, spatial, and noise) numerical approximations of semilinear stochastic evolution equations (SEEs) with smooth and regular nonlinearities are…