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JOURNALS // Sibirskie Èlektronnye Matematicheskie Izvestiya [Siberian Electronic Mathematical Reports] // Archive

Sib. Èlektron. Mat. Izv., 2023 Volume 20, Issue 2, Pages 797–813 (Mi semr1610)

Computational mathematics

Mathematical model of economic dynamics in an epidemic

A. Boranbayeva, N. Obrosovabc, A. Shananindcb

a Nazarbayev University, 53 Kabanbay Batyr Ave., 010000, Astana, Kazakhstan
b Federal Research Center «Computer Science and Control» of Russian Academy of Sciences, Vavilov Street 44/2, 119333, Moscow, Russian Federation
c Moscow Center for Fundamental and Applied Mathematics, Lomonosov Moscow State University, GSP-1, Leninskie Gory, 119991, Moscow, Russian Federation
d Moscow Institute of Physics and Technology (State University), Institutskiy per. 9, 141701, Dolgoprudny, Moscow region, Russian Federation

Abstract: The paper proposes a model of economic growth in an epidemic. It takes into account the dependence of the labor force on the parameters of the epidemic and the contacts restrictions, built on the base of the stable equilibrium in the corresponding SIR model, which evolves in a faster time compared to the main model. The model is formalized as an optimal control problem on an infinite horizon. The verification theorem is proved and the turnpike for the growth model without the epidemic is found. The study of a non-trivial stationary regime in a growth model during an epidemic makes it possible to analyze the dependence of the main macroeconomic indicators on the model parameters. Examples of calculations are presented that confirm the adequacy of the developed model.

Keywords: optimal control problem, Hamilton-Jacobi-Bellman equation, SIR model, economic growth model, epidemic, lockdown.

UDC: 519.86

MSC: 46N10

Received June 26, 2023, published September 25, 2023

Language: English

DOI: 10.33048/semi.2023.20.047



© Steklov Math. Inst. of RAS, 2024