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The Convergence Analyzed by Stochastic C-Stability and Stochastic B-Consistency of Split-Step Theta Method for the Stochastic Differential Equations
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作者 Ping GUO Ye WANG Yining GAO 《Journal of Mathematical Research with Applications》 2025年第3期362-376,共15页
In this paper,the convergence of the split-step theta method for stochastic differential equations is analyzed using stochastic C-stability and stochastic B-consistency.The fact that the numerical scheme,which is both... In this paper,the convergence of the split-step theta method for stochastic differential equations is analyzed using stochastic C-stability and stochastic B-consistency.The fact that the numerical scheme,which is both stochastically C-stable and stochastically B-consistent,is convergent has been proved in a previous paper.In order to analyze the convergence of the split-step theta method(θ∈[1/2,1]),the stochastic C-stability and stochastic B-consistency under the condition of global monotonicity have been researched,and the rate of convergence 1/2 has been explored in this paper.It can be seen that the convergence does not require the drift function should satisfy the linear growth condition whenθ=1/2 Furthermore,the rate of the convergence of the split-step scheme for stochastic differential equations with additive noise has been researched and found to be 1.Finally,an example is given to illustrate the convergence with the theoretical results. 展开更多
关键词 stochastic differential equation stochastic C-stability stochastic b-consistency CONVERGENCE split-step theta method
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