A boundary preserving numerical scheme for the Wright–Fisher model

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摘要

We are interested in the numerical approximation of non-linear stochastic differential equations (SDEs) with solution in a certain domain. Our goal is to construct explicit numerical schemes that preserve that structure. We generalize the semi-discrete method (Halidias and Stamatiou, 2016), and propose a numerical scheme, for which we prove a strong convergence result, to a class of SDEs that appears in population dynamics and ion channel dynamics within cardiac and neuronal cells. We furthermore extend our scheme to a multidimensional case.

论文关键词:60H10,60H35,65C20,65C30,65J15,65L20,92D99,Explicit numerical scheme,Semi-discrete method,Non-linear SDEs,Strong approximation error,Boundary preserving numerical algorithm,Wright–Fisher model

论文评审过程:Received 13 April 2017, Revised 27 June 2017, Available online 31 July 2017, Version of Record 18 September 2017.

论文官网地址:https://doi.org/10.1016/j.cam.2017.07.011