An explicit approximation for super-linear stochastic functional differential equations

Xiaoyue Li; Xuerong Mao; Guoting Song

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arXiv · 2208.10214

An explicit approximation for super-linear stochastic functional differential equations

Xiaoyue Li·Xuerong Mao·Guoting Song

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Abstract

Since it is difficult to implement implicit schemes on the infinite-dimensional space, we aim to develop the explicit numerical method for approximating super-linear stochastic functional differential equations (SFDEs). Precisely, borrowing the truncation idea and linear interpolation we propose an explicit truncated Euler-Maruyama scheme for super-linear SFDEs, and obtain the boundedness and convergence in L^p. We also yield the convergence rate with 1/2 order. Different from some previous works, we release the global Lipschitz restriction on the diffusion coefficient. Furthermore, we reveal that numerical solutions preserve the underlying exponential stability. Moreover, we give several examples to support our theory.

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Xiaoyue Li, Xuerong Mao, Guoting Song. 2022-08-22. An explicit approximation for super-linear stochastic functional differential equations. https://arxiv.org/abs/2208.10214

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