Convergence of the split-step θ-method for stochastic age-dependent population equations with Markovian switching and variable delay
Deng, Shounian and Fei, Weiyin and Liang, Yong and Mao, Xuerong (2019) Convergence of the split-step θ-method for stochastic age-dependent population equations with Markovian switching and variable delay. Applied Numerical Mathematics, 139. pp. 15-37. ISSN 0168-9274 (https://doi.org/10.1016/j.apnum.2018.12.014)
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Abstract
We present a stochastic age-dependent population model that accounts for Markovian switching and variable delay. By using the approximate value at the nearest grid-point on the left of the delayed argument to estimate the delay function, we propose a class of split-step θ -method for solving stochastic delay age-dependent population equations (SDAPEs) with Markovian switch- ing. We show that the numerical method is convergent under the given conditions. Numerical examples are provided to illustrate our results.
ORCID iDs
Deng, Shounian, Fei, Weiyin, Liang, Yong and Mao, Xuerong
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Item type: Article ID code: 66527 Dates: DateEvent8 February 2019Published8 January 2019Published Online2 January 2019AcceptedNotes: © 2019 IMACS. Published by Elsevier B.V. All rights reserved. Shounian Deng, Weiyin Fei, Yong Liang, Xuerong Mao, Convergence of the split-step θ-method for stochastic age-dependent population equations with Markovian switching and variable delay, Applied Numerical Mathematics, Volume 139, 2019, Pages 15-37,https://doi.org/10.1016/j.apnum.2018.12.014 Subjects: Science > Mathematics Department: Faculty of Science > Mathematics and Statistics Depositing user: Pure Administrator Date deposited: 10 Jan 2019 14:01 Last modified: 02 Feb 2025 20:41 URI: https://strathprints.strath.ac.uk/id/eprint/66527