Steady states of lattice population models with immigration

IF 1.4 3区 社会学 Q3 DEMOGRAPHY Mathematical Population Studies Pub Date : 2018-08-16 DOI:10.1080/08898480.2020.1767411
E. Chernousova, Yaqin Feng, O. Hryniv, S. Molchanov, Joseph Whitmeyer
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引用次数: 5

Abstract

ABSTRACT In a lattice population model where individuals evolve as subcritical branching random walks subject to external immigration, the cumulants are estimated and the existence of the steady state is proved. The resulting dynamics are Lyapunov stable in that their qualitative behavior does not change under suitable perturbations of the main parameters of the model. An explicit formula of the limit distribution is derived in the solvable case of no birth. Monte Carlo simulation shows the limit distribution in the solvable case.
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有移民的格子人口模型的稳态
摘要在一个受外来移民影响,个体以亚临界分支随机游动形式进化的格群模型中,估计了累积量,并证明了稳态的存在性。所得到的动力学是李雅普诺夫稳定的,即在模型主要参数的适当扰动下,它们的定性行为不会改变。导出了无生育可解情况下极限分布的显式公式。蒙特卡罗模拟显示了在可解情况下的极限分布。
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来源期刊
Mathematical Population Studies
Mathematical Population Studies 数学-数学跨学科应用
CiteScore
3.20
自引率
11.10%
发文量
7
审稿时长
>12 weeks
期刊介绍: Mathematical Population Studies publishes carefully selected research papers in the mathematical and statistical study of populations. The journal is strongly interdisciplinary and invites contributions by mathematicians, demographers, (bio)statisticians, sociologists, economists, biologists, epidemiologists, actuaries, geographers, and others who are interested in the mathematical formulation of population-related questions. The scope covers both theoretical and empirical work. Manuscripts should be sent to Manuscript central for review. The editor-in-chief has final say on the suitability for publication.
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