English

Stability equivalence for stochastic differential equations, stochastic differential delay equations and their corresponding Euler-Maruyama methods in $G$-framework

Probability 2024-05-14 v1

Abstract

In this paper, we investigate the stability equivalence problem for stochastic differential delay equations, the auxiliary stochastic differential equations and their corresponding Euler-Maruyama (EM) methods under GG-framework. More precisely, for p2p\geq 2, we prove the equivalence of practical exponential stability in pp-th moment sense among stochastic differential delay equations driven by GG-Brownian motion (GG-SDDEs), the auxiliary stochastic differential equations driven by GG-Brownian motion (GG-SDEs), and their corresponding Euler-Maruyama methods, provided the delay or the step size is small enough. Thus, we can carry out careful simulations to examine the practical exponential stability of the underlying GG-SDDE or GG-SDE under some reasonable assumptions.

Keywords

Cite

@article{arxiv.2405.07519,
  title  = {Stability equivalence for stochastic differential equations, stochastic differential delay equations and their corresponding Euler-Maruyama methods in $G$-framework},
  author = {Wen Lu},
  journal= {arXiv preprint arXiv:2405.07519},
  year   = {2024}
}
R2 v1 2026-06-28T16:24:59.429Z