Almost sure asymptotic stability analysis of the Theta-Maruyama method applied to a test system with stabilising and destabilising stochastic perturbations

Evelyn Buckwar, Conall Kelly, Alexandra Rodkina, Gregory Berkolaiko

Research output: Contribution to journalArticlepeer-review

Abstract

We perform an almost sure linear stability analysis of the Theta-Maruyama method, selecting as our test equation a two-dimensional system of Ito differential equations with diagonal drift coefficient and two independent stochastic perturbations which capture the stabilising and destabilising roles of feedback geometry in the almost sure asymptotic stability of the equilibrium solution. For small values of the constant step-size parameter, we derive close-to-sharp conditions for the almost sure asymptotic stability and instability of the equilibrium solution of the discretisation that match those of the original test system. Our investigation demonstrates the use of a discrete form of the Ito formula in the context of an almost sure linear stability analysis.
Original languageEnglish
Pages (from-to)71-83
Number of pages13
JournalLMS Journal of Computation and Mathematics
Volume15
DOIs
Publication statusPublished - 2012

Fields of science

  • 101002 Analysis
  • 101029 Mathematical statistics
  • 101014 Numerical mathematics
  • 101024 Probability theory
  • 101015 Operations research
  • 101026 Time series analysis
  • 101019 Stochastics
  • 107 Other Natural Sciences
  • 211 Other Technical Sciences

JKU Focus areas

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

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