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Program Systems: Theory and Applications, 2020 Volume 11, Issue 4, Pages 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

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.

UDC: 519.217.2:314.74+314.85
BBK: 22.171.53:60.723.5

MSC: Primary 91D20; Secondary 60J10, 60J20

Received: 21.10.2020
06.11.2020
Accepted: 06.12.2020

Language: English

DOI: 10.25209/2079-3316-2020-11-4-17-30



© Steklov Math. Inst. of RAS, 2024