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arXiv:1811.01725 [math.PR]AbstractReferencesReviewsResources

Lower and upper bounds for strong approximation errors for numerical approximations of stochastic heat equations

Sebastian Becker, Benjamin Gess, Arnulf Jentzen, Peter E. Kloeden

Published 2018-11-01Version 1

Optimal upper and lower error estimates for strong full-discrete numerical approximations of the stochastic heat equation driven by space-time white noise are obtained. In particular, we establish the optimality of strong convergence rates for full-discrete approximations of stochastic Allen-Cahn equations with space-time white noise which have recently been obtained in [Becker, S., Gess, B., Jentzen, A., and Kloeden, P. E., Strong convergence rates for explicit space-time discrete numerical approximations of stochastic Allen-Cahn equations. arXiv:1711.02423 (2017)].

Comments: 20 pages. arXiv admin note: substantial text overlap with arXiv:1711.02423
Categories: math.PR, math.NA
Subjects: 60H35, 65C30, 60H15
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