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Steady states of lattice population models with immigration

Elena Chernousova, Yaqin Feng, Ostap Hryniv, Stanislav Molchanov and Joseph Whitmeyer

Mathematical Population Studies, 2021, vol. 28, issue 2, 63-80

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.

Date: 2021
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DOI: 10.1080/08898480.2020.1767411

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Mathematical Population Studies is currently edited by Prof. Noel Bonneuil, Annick Lesne, Tomasz Zadlo, Malay Ghosh and Ezio Venturino

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