Development of numerical methods for nonlinear hybrid stochastic functional differential equations with infinite delay
By: Guozhen Li, Xiaoyue Li, Xuerong Mao
Potential Business Impact:
Makes computer math models more accurate.
This paper focuses on explicit numerical approximations for nonlinear hybrid stochastic functional differential equations with infinite delay. Precisely, explicit truncated Euler-Maruyama schemes are proposed, $2p$th $(p \ge 1)$ moment boundedness and strong convergence of the numerical solutions are obtained. Under slightly stronger conditions, the $1/2$ order convergence rate is established. Furthermore, the exponential stability, including moment and almost sure exponential stability, is examined. Finally, an example is provided to illustrate our results.
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