Optimization of discounted income for a structured population exposed to harvesting

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Abstract

A structured population the individuals of which are divided into $n$ age or typical groups $x_1,\ldots,x_n$ is considered.
We assume that at any time moment $k,$ $k=0,1,2\ldots$ the size of the population $x(k)$  is determined by
the normal autonomous system of difference equations $x(k+1)=F\bigl(x(k)\bigr)$,
where $F(x)={\rm col}\bigl(f_1(x),\ldots,f_n(x)\bigr)$ are given vector functions with real non-negative components $f_i(x),$ $i=1,\ldots,n.$
We investigate the case when it is possible to influence the population size by means of harvesting.
The model of the exploited population under discussion has the form
x(k+1)=F((1-u(k) )x(k) ),
where $u(k)=\bigl(u_1(k),\dots,u_n(k)\bigr)\in[0,1]^n$ is a control vector, which can be varied to achieve the best result of harvesting the resource.
We assume that the cost of a conventional unit
of each of $n$ classes is constant and equals to $C_i\geqslant 0,$ $i=1,\ldots,n.$
To determine the cost of the resource obtained as the result of harvesting, the discounted income function is introduced into consideration. It has the form

Hα(u¯,x(0))=j=0 i=1n(Cixi(j)ui(j)e(-αj),

where $\alpha>0$ is the discount coefficient.
The problem of constructing controls on finite and infinite time intervals at which the discounted income from the extraction of a renewable resource reaches the maximal value is
solved. As a corollary, the results on the construction of the optimal harvesting mode for a homogeneous population are obtained (that is, for $n =1$).

About the authors

Anastasia V. Egorova

Vladimir State University named after Alexander and Nikolay Stoletovs

Author for correspondence.
Email: nastik.e@bk.ru
ORCID iD: 0000-0002-3930-0743

Post-Graduate Student, Functional Analysis and its Applications Department

Russian Federation, 87 Gorky St., Vladimir 600000, Russian Federation

References

  1. E.Ya. Frisman, M.P. Kulakov, O. L. Revutskaya, O. L. Zhdanova, G.P. Neverova, "The key approaches and review of current researches on dynamics of structured and interacting populations", Computer Research and Modeling, 11:1 (2019), 119-151 (In Russian).
  2. G.P. Neverova, A. I. Abakumov, E.Ya. Frisman, "Dynamic modes of exploited limited population: results of modeling and numerical study", Mathematical Biology and Bioinformatics, 11:1 (2016), 1-13 (In Russian).
  3. O. L. Revutskaya, E.Ya. Frisman, "In uence of stationary harvesting on development of a two-age population scenario", Informatika i Sistemy Upravleniya, 53:3 (2017), 36-48 (In Russian).
  4. L. I. Rodina, "About one stochastic harvesting model of a renewed resourse", Tambov University Reports. Series: Natural and Technical Sciences, 23:124 (2018), 685-695 (In Russian).
  5. L. I. Rodina, "Properties of average time prot in stochastic models of harvesting a renewable resource", Vestnik Udmurtskogo Universiteta. Matematika. Mekhanika. Komp'yuternye Nauki, 28:2 (2018), 213-221 (In Russian).
  6. L. G. Hansen, F. Jensen, "Regulating sheries under uncertainty", Resource and Energy Economics, 50 (2017), 164-177.
  7. A. O. Belyakov, A. A. Davydov, "Eficiency Optimization for the Cyclic Use of a Renewable Resource", Proceedings of the Steklov Institute of Mathematics, 299:suppl. 1 (2017), 14-21.
  8. M. I. Zelikin, L. V. Lokutsievskiy, S. V. Skopincev, "On optimal harvesting of a resource on a circle", Mathematical Notes, 102:4 (2017), 521-532 (In Russian).
  9. A. O. Belyakov, V. M. Veliov, "On optimal harvesting in age-structured populations", Dynamic Perspectives on Managerial Decision Making, 2016, 149-166.
  10. A. V. Egorova,L. I. Rodina, "On optimal harvesting of renewable resource from the structured population", Vestnik Udmurtskogo Universiteta. Matematika. Mekhanika. Komp'yuternye Nauki, 29:4 (2019), 501-517 (In Russian).

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