Open AccessA Note on Migration Perturbation and Convergence Rates to a Steady State
Author(s) -
Lawrence E. Blume,
Aleksandra Andreevna Lukina
Publication year - 2020
Publication title -
programmnye sistemy: teoriâ i priloženiâ
Language(s) - English
Resource type - Journals
ISSN - 2079-3316
DOI - 10.25209/2079-3316-2020-11-4-17-30
Subject(s) - steady state (chemistry) , markov chain , perturbation (astronomy) , convergence (economics) , population , mathematics , markov process , statistical physics , statistics , physics , economics , demography , chemistry , quantum mechanics , sociology , economic growth
Using tools developed in the Markov chains literature, we study convergence times in the Leslie population model in the short and middle run. Assuming that the population is in a steady-state and reproduces itself period after period, we address the following question: how long will it take to get back to the steady-state if the population distribution vector was affected by some shock as, for instance, the “brain drain”? We provide lower and upper bounds for the time required to reach a given distance from the steady-state.