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Convergence and stability of an explicit method for nonlinear stochastic differential equations with piecewise continuous arguments

  • Hongling Shi
  • , Minghui Song*
  • , Mingzhu Liu
  • *Corresponding author for this work
  • School of Mathematics, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

This paper constructs a new explicit method for stochastic differential equations with piecewise continuous arguments (SDEPCAs), where the drift coefficients grow superlinearly and the diffusion coefficients have at most linear growth. We show that this method converges strongly with the convergence rate 1/2 to the exact solutions of SDEPCAs over the finite time interval and demonstrate it can inherit the mean square exponential stability of the underlying SDEPCAs. Several numerical experiments are carried out to support our findings.

Original languageEnglish
Article number115549
JournalJournal of Computational and Applied Mathematics
Volume438
DOIs
StatePublished - 1 Mar 2024
Externally publishedYes

Keywords

  • Convergence rate
  • Explicit method
  • Local Lipschitz continuous
  • Mean square exponential stability
  • Superlinearly growing coefficients

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