Exponential stability of numerical solution to neutral stochastic functional differential equation

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Stability of the solution to neutral stochastic functional differential equation (NSFDE) has received a great deal of attention, but there is so far little work on stability of numerical solution. To close the gap, the paper develops new criteria on stability of numerical solutions to linear and nonlinear NSFDEs. We show that the backward Euler–Maruyama(EM) method can reproduce the almost surely exponential stability of the exact solution to highly nonlinear NSFDE, and EM method can preserve the almost surely exponential stability of NSFDE with linear growing coefficients. Two examples are provided to illustrate the main results.

论文关键词:Neutral stochastic functional differential equations,Polynomial growth conditions,Backward Euler–Maruyama method,Almost surely exponential stability

论文评审过程:Received 9 April 2013, Revised 30 April 2015, Accepted 10 May 2015, Available online 11 June 2015, Version of Record 11 June 2015.

论文官网地址:https://doi.org/10.1016/j.amc.2015.05.041