Convergence Rate for Galerkin Approximation of the Stochastic Allen—Cahn Equations on 2D Torus

Ting Ma, Rong Chan Zhu*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

In this paper we discuss the convergence rate for Galerkin approximation of the stochastic Allen-Cahn equations driven by space-time white noise on T2. First we prove that the convergence rate for stochastic 2D heat equation is of order α — δ in Besov space Cα for α ∈ (0,1) and δ > 0 arbitrarily small. Then we obtain the convergence rate for Galerkin approximation of the stochastic Allen-Cahn equations of order α — δ in Cα for α ∈ (0,2/9) and δ > 0 arbitrarily small.

Original languageEnglish
Pages (from-to)471-490
Number of pages20
JournalActa Mathematica Sinica, English Series
Volume37
Issue number3
DOIs
Publication statusPublished - Mar 2021

Keywords

  • 60H15
  • 82C28
  • Besov space
  • Galerkin projection
  • Stochastic Allen-Cahn equations
  • convergence rate
  • white noise

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