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具有奥恩斯坦-乌伦贝克过程和泊松跳跃的年龄依赖型随机延迟种群方程解的泰勒近似

Taylor approximation of the solution of age-dependent stochastic delay population equations with Ornstein-Uhlenbeck process and Poisson jumps.

作者信息

Li Wen Rui, Zhang Qi Min, Anke Meyer-Baese, Ye Ming, Li Yan

机构信息

School of Mathematics and Statistics, Ningxia University, Yinchuan 750021, China.

Department of Scientific Computing, Florida State University, Tallahassee FL 32306-4120, USA.

出版信息

Math Biosci Eng. 2020 Mar 9;17(3):2650-2675. doi: 10.3934/mbe.2020145.

Abstract

Numerical approximation is a vital method to investigate the properties of stochastic age-dependent population systems, since most stochastic age-dependent population systems cannot be solved explicitly. In this paper, a Taylor approximation scheme for a class of age-dependent stochastic delay population equations with mean-reverting Ornstein-Uhlenbeck (OU) process and Poisson jumps is presented. In case that the coefficients of drift and diffusion are Taylor approximations, we prove that the numerical solutions converge to the exact solutions for these equations. Moreover, the convergence order of the numerical scheme is given. Finally, some numerical simulations are discussed to illustrate the theoretical results.

摘要

数值逼近是研究依赖年龄的随机种群系统性质的一种重要方法,因为大多数依赖年龄的随机种群系统无法精确求解。本文针对一类具有均值回复奥恩斯坦 - 乌伦贝克(OU)过程和泊松跳跃的依赖年龄的随机延迟种群方程,提出了一种泰勒逼近格式。在漂移项和扩散项的系数为泰勒逼近的情况下,我们证明了这些方程的数值解收敛于精确解。此外,还给出了数值格式的收敛阶。最后,通过一些数值模拟来说明理论结果。

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