Weak stochastic Runge-Kutta Munthe-Kaas methods for finite spin ensembles

Evelyn Buckwar, Markus Ableidinger

Research output: Contribution to journalArticlepeer-review

Abstract

In this article we construct weak Runge–Kutta Munthe-Kaas methods for a finite-dimensional version of the stochastic Landau–Lifshitz equation (LL-equation). We formulate a Lie group framework for the stochastic LL-equation and derive regularity conditions for the corresponding SDE system on the Lie algebra. Using this formulation we define weak Munthe-Kaas methods based on weak stochastic Runge–Kutta methods (SRK methods) and provide sufficient conditions such that the Munthe-Kaas methods inherit the convergence order of the underlying SRK method. The constructed methods are fully explicit and preserve the norm constraint of the LL-equation exactly. Numerical simulations are provided to illustrate the convergence order as well as the long time behaviour of the proposed methods.
Original languageEnglish
Pages (from-to)50-63
Number of pages14
JournalApplied Numerical Mathematics
Volume118
DOIs
Publication statusPublished - 2017

Fields of science

  • 101 Mathematics
  • 101014 Numerical mathematics
  • 101018 Statistics
  • 101019 Stochastics
  • 101024 Probability theory

JKU Focus areas

  • Computation in Informatics and Mathematics
  • Engineering and Natural Sciences (in general)

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