Investigates exponential stability of a numerical scheme for NSDIDEs with Poisson jumps, indicating enhanced computational efficiency.
This paper investigates the exponential mean-square stability of both the continuous solution and the split-step θ -Milstein (SSTM) numerical scheme for neutral stochastic delay integro-differential equations (NSDIDEs) with Poisson jumps. Under a set of reasonable conditions, the trivial solution of the NSDIDE is shown to be exponentially mean-square stable. Subsequently, it is demonstrated that this stability property is preserved by the SSTM method under explicit stepsize constraints. Specifically, for \(θ ∈ [0, 1/2)\) , exponential mean-square stability of the numerical solution is guaranteed provided the stepsize is sufficiently small; for \(θ ∈ (1/2, 1]\) , the method is stable under a less restrictive stepsize condition, thereby enhancing computational efficiency while maintaining stability. The theoretical findings are further validated through two numerical examples, which confirm the validity of the derived stability conditions.
No takes yet. Share an insight, caveat, or question.
Fang et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: