June 2015 On the backward Euler approximation of the stochastic Allen-Cahn equation
Mihály Kovács, Stig Larsson, Fredrik Lindgren
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J. Appl. Probab. 52(2): 323-338 (June 2015). DOI: 10.1239/jap/1437658601

Abstract

We consider the stochastic Allen-Cahn equation perturbed by smooth additive Gaussian noise in a spatial domain with smooth boundary in dimension d ≤ 3, and study the semidiscretization in time of the equation by an implicit Euler method. We show that the method converges pathwise with a rate Ot γ) for any γ < ½. We also prove that the scheme converges uniformly in the strong L p -sense but with no rate given.

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Mihály Kovács. Stig Larsson. Fredrik Lindgren. "On the backward Euler approximation of the stochastic Allen-Cahn equation." J. Appl. Probab. 52 (2) 323 - 338, June 2015. https://doi.org/10.1239/jap/1437658601

Information

Published: June 2015
First available in Project Euclid: 23 July 2015

zbMATH: 1323.60089
MathSciNet: MR3372078
Digital Object Identifier: 10.1239/jap/1437658601

Subjects:
Primary: 60H15
Secondary: 60H35 , 65C30

Keywords: Additive Noise , Allen-Cahn equation , Euler method , factorization method , pathwise convergence , Stochastic partial differential equation , strong convergence , Wiener process

Rights: Copyright © 2015 Applied Probability Trust

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Vol.52 • No. 2 • June 2015
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