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Program Systems: Theory and Applications, 2020, Volume 11, Issue 4, Pages 17–30
DOI: https://doi.org/10.25209/2079-3316-2020-11-4-17-30
(Mi ps373)
 

Optimization Methods and Control Theory

A note on migration perturbation and convergence rates to a steady state

Lawrence E. Blumeab, Aleksandra A. Lukinac

a Cornell University
b Institute for Advanced Studies, Vienna
c Harris School of Public Policy, University of Chicago
References:
Abstract: 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.
Key words and phrases: The Leslie population model, migration perturbation, convergence rates to a steady state.
Funding agency Grant number
Russian Foundation for Basic Research 18-01-00551_а
Aleksandra Lukina's support from the Russian Foundation for Basic Research grant No 18-01-00551 is gratefully acknowledged.
Received: 21.10.2020
06.11.2020
Accepted: 06.12.2020
Document Type: Article
UDC: 519.217.2:314.74+314.85
BBC: 22.171.53:60.723.5
MSC: Primary 91D20; Secondary 60J10, 60J20
Language: English
Citation: Lawrence E. Blume, Aleksandra A. Lukina, “A note on migration perturbation and convergence rates to a steady state”, Program Systems: Theory and Applications, 11:4 (2020), 17–30
Citation in format AMSBIB
\Bibitem{BluLuk20}
\by Lawrence~E.~Blume, Aleksandra~A.~Lukina
\paper A note on migration perturbation and convergence rates to a steady state
\jour Program Systems: Theory and Applications
\yr 2020
\vol 11
\issue 4
\pages 17--30
\mathnet{http://mi.mathnet.ru/ps373}
\crossref{https://doi.org/10.25209/2079-3316-2020-11-4-17-30}
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