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

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 popul...

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Main Authors: Wenrui Li, Qimin Zhang, Meyer-Baese Anke, Ming Ye, Yan Li
Format: Article
Language:English
Published: AIMS Press 2020-03-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2020145?viewType=HTML
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spelling doaj-0b5e30fd8a484a7b9719624e0ea628cc2021-07-22T02:02:15ZengAIMS PressMathematical Biosciences and Engineering1551-00182020-03-011732650267510.3934/mbe.2020145Taylor approximation of the solution of age-dependent stochastic delay population equations with Ornstein-Uhlenbeck process and Poisson jumpsWenrui Li0Qimin Zhang1Meyer-Baese Anke2Ming Ye3Yan Li 41. School of Mathematics and Statistics, Ningxia University, Yinchuan 750021, China1. School of Mathematics and Statistics, Ningxia University, Yinchuan 750021, China2. Department of Scientific Computing, Florida State University, Tallahassee FL 32306-4120, USA3. Department of Earth, Ocean, and Atmospheric Science and Department of Scientific Computing, Florida State University, Tallahassee FL 32306, USA1. School of Mathematics and Statistics, Ningxia University, Yinchuan 750021, ChinaNumerical 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.https://www.aimspress.com/article/doi/10.3934/mbe.2020145?viewType=HTMLstochastic age-dependent population equationstime delayornstein-uhlenbeck processtaylor approximation
collection DOAJ
language English
format Article
sources DOAJ
author Wenrui Li
Qimin Zhang
Meyer-Baese Anke
Ming Ye
Yan Li
spellingShingle Wenrui Li
Qimin Zhang
Meyer-Baese Anke
Ming Ye
Yan Li
Taylor approximation of the solution of age-dependent stochastic delay population equations with Ornstein-Uhlenbeck process and Poisson jumps
Mathematical Biosciences and Engineering
stochastic age-dependent population equations
time delay
ornstein-uhlenbeck process
taylor approximation
author_facet Wenrui Li
Qimin Zhang
Meyer-Baese Anke
Ming Ye
Yan Li
author_sort Wenrui Li
title Taylor approximation of the solution of age-dependent stochastic delay population equations with Ornstein-Uhlenbeck process and Poisson jumps
title_short Taylor approximation of the solution of age-dependent stochastic delay population equations with Ornstein-Uhlenbeck process and Poisson jumps
title_full Taylor approximation of the solution of age-dependent stochastic delay population equations with Ornstein-Uhlenbeck process and Poisson jumps
title_fullStr Taylor approximation of the solution of age-dependent stochastic delay population equations with Ornstein-Uhlenbeck process and Poisson jumps
title_full_unstemmed Taylor approximation of the solution of age-dependent stochastic delay population equations with Ornstein-Uhlenbeck process and Poisson jumps
title_sort taylor approximation of the solution of age-dependent stochastic delay population equations with ornstein-uhlenbeck process and poisson jumps
publisher AIMS Press
series Mathematical Biosciences and Engineering
issn 1551-0018
publishDate 2020-03-01
description 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.
topic stochastic age-dependent population equations
time delay
ornstein-uhlenbeck process
taylor approximation
url https://www.aimspress.com/article/doi/10.3934/mbe.2020145?viewType=HTML
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AT qiminzhang taylorapproximationofthesolutionofagedependentstochasticdelaypopulationequationswithornsteinuhlenbeckprocessandpoissonjumps
AT meyerbaeseanke taylorapproximationofthesolutionofagedependentstochasticdelaypopulationequationswithornsteinuhlenbeckprocessandpoissonjumps
AT mingye taylorapproximationofthesolutionofagedependentstochasticdelaypopulationequationswithornsteinuhlenbeckprocessandpoissonjumps
AT yanli taylorapproximationofthesolutionofagedependentstochasticdelaypopulationequationswithornsteinuhlenbeckprocessandpoissonjumps
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