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THE CONVERGENCE OF TRUNCATED EULER-MARUYAMA METHOD FOR STOCHASTIC DIFFERENTIAL EQUATIONS WITH PIECEWISE CONTINUOUS ARGUMENTS UNDER GENERALIZED ONE-SIDED LIPSCHITZ CONDITION

  • Yidan Geng
  • , Minghui Song*
  • , Mingzhu Liu
  • *Corresponding author for this work
  • School of Mathematics, Harbin Institute of Technology
  • China Electronics Standardization Institute

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, we consider the stochastic differential equations with piecewise continuous arguments (SDEPCAs) in which the drift coefficient satisfies the generalized one-sided Lipschitz condition and the diffusion coefficient satisfies the linear growth condition. Since the delay term t − [t] of SDEPCAs is not continuous and differentiable, the variable substitution method is not suitable. To overcome this difficulty, we adopt new techniques to prove the boundedness of the exact solution and the numerical solution. It is proved that the truncated Euler-Maruyama method is strongly convergent to SDEPCAs in the sense of Lq¯(¯ q ≥ 2). We obtain the convergence order with some additional conditions. An example is presented to illustrate the analytical theory.

Original languageEnglish
Pages (from-to)663-682
Number of pages20
JournalJournal of Computational Mathematics
Volume41
Issue number4
DOIs
StatePublished - 2023
Externally publishedYes

Keywords

  • One-sided Lipschitz condition
  • Piecewise continuous argument
  • Stochastic differential equations
  • Truncated Euler-Maruyama method

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