研究论文
Strong Convergence of the Euler-Maruyama Method for a Class of Stochastic Volterra Integral Equations
Wei Zhang
Heilongjiang University
来源Journal of Computational Mathematics
年份2022
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摘要与影响
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In this paper, we consider the Euler-Maruyama method for a class of stochastic Volterra integral equations (SVIEs). It is known that the strong convergence order of the Euler-Maruyama method is $\frac12$. However, the strong superconvergence order $1$ can be obtained for a class of SVIEs if the kernels $\sigma_{i}(t, t) = 0$ for $i=1$ and $2$; otherwise, the strong convergence order is $\frac12$. Moreover, the theoretical results are illustrated by some numerical examples.
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学术脉络
学科主题
计算机 / AINumerical methods for differential equations
Stochastic processes and financial applications · Fuzzy Systems and Optimization
参考文献 15
Convergence and stability of the split-step backward Euler method for linear stochastic delay integro-differential equations
被引 28Jianguo Tan, Hongli Wang · Mathematical and Computer Modelling · 2009
Convergence and stability of balanced methods for stochastic delay integro-differential equations
被引 19Qiang Wu, Lin Hu, Zujin Zhang · Applied Mathematics and Computation · 2014
Almost sure exponential stability for delay stochastic differential equations with respect to semimartingales
被引 31Xuerong Mao · Stochastic Analysis and Applications · 1991
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Triangular Function Method is Adopted to Solve Nonlinear Stochastic It o∧–Volterra Integral Equations
被引 2Guo Zhang Jiang, Dan Chen, F. Liu · Discrete Dynamics in Nature and Society · 2024
Convergence and Stability of the Split-Step Theta Method for a Class of Stochastic Volterra Integro-Differential Equations Driven by Lévy Noise
被引 1Wei Zhang · Journal of Computational Mathematics · 2023
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