Volume 56, Issue 4
Extended Milstein Approximation to the Stochastic Allen-Cahn Equation with Random Diffusion Coefficient Field and Multiplicative Noise

Xiao Qi

J. Math. Study, 56 (2023), pp. 366-391.

Published online: 2023-12

Export citation
  • Abstract

This paper studies the stochastic Allen-Cahn equation driven by a random diffusion coefficient field and multiplicative force noise. A new time-stepping scheme based on a stabilized approach and Milstein scheme is proposed and analyzed. The proposed method is unconditionally stable in the sense that a discrete energy is dissipative when the multiplicative noise is absent. The strong convergence rate of a spatio-temporal fully discrete scheme is derived. Numerical experiments are finally reported to confirm the theoretical result and show that the new scheme is much more robust than the classical semi-implicit Euler-Maruyama scheme, especially when the interface width parameter is small.

  • AMS Subject Headings

60H15, 60H35, 65C50

  • Copyright

COPYRIGHT: © Global Science Press

  • Email address
  • BibTex
  • RIS
  • TXT
@Article{JMS-56-366, author = {Qi , Xiao}, title = {Extended Milstein Approximation to the Stochastic Allen-Cahn Equation with Random Diffusion Coefficient Field and Multiplicative Noise}, journal = {Journal of Mathematical Study}, year = {2023}, volume = {56}, number = {4}, pages = {366--391}, abstract = {

This paper studies the stochastic Allen-Cahn equation driven by a random diffusion coefficient field and multiplicative force noise. A new time-stepping scheme based on a stabilized approach and Milstein scheme is proposed and analyzed. The proposed method is unconditionally stable in the sense that a discrete energy is dissipative when the multiplicative noise is absent. The strong convergence rate of a spatio-temporal fully discrete scheme is derived. Numerical experiments are finally reported to confirm the theoretical result and show that the new scheme is much more robust than the classical semi-implicit Euler-Maruyama scheme, especially when the interface width parameter is small.

}, issn = {2617-8702}, doi = {https://doi.org/10.4208/jms.v56n4.23.05}, url = {http://global-sci.org/intro/article_detail/jms/22255.html} }
TY - JOUR T1 - Extended Milstein Approximation to the Stochastic Allen-Cahn Equation with Random Diffusion Coefficient Field and Multiplicative Noise AU - Qi , Xiao JO - Journal of Mathematical Study VL - 4 SP - 366 EP - 391 PY - 2023 DA - 2023/12 SN - 56 DO - http://doi.org/10.4208/jms.v56n4.23.05 UR - https://global-sci.org/intro/article_detail/jms/22255.html KW - Stochastic Allen-Cahn equation, multiplicative noise, strong convergence, extended Milstein scheme, stability. AB -

This paper studies the stochastic Allen-Cahn equation driven by a random diffusion coefficient field and multiplicative force noise. A new time-stepping scheme based on a stabilized approach and Milstein scheme is proposed and analyzed. The proposed method is unconditionally stable in the sense that a discrete energy is dissipative when the multiplicative noise is absent. The strong convergence rate of a spatio-temporal fully discrete scheme is derived. Numerical experiments are finally reported to confirm the theoretical result and show that the new scheme is much more robust than the classical semi-implicit Euler-Maruyama scheme, especially when the interface width parameter is small.

Xiao Qi. (2023). Extended Milstein Approximation to the Stochastic Allen-Cahn Equation with Random Diffusion Coefficient Field and Multiplicative Noise. Journal of Mathematical Study. 56 (4). 366-391. doi:10.4208/jms.v56n4.23.05
Copy to clipboard
The citation has been copied to your clipboard