American Institute of Mathematical Sciences

April  2021, 26(4): 2055-2065. doi: 10.3934/dcdsb.2020280

The optimal distribution of resources and rate of migration maximizing the population size in logistic model with identical migration

 1 School of Mathematical Sciences and Wu Wen-Tsun Key Laboratory of Mathematics, University of Science and Technology of China, Hefei, Anhui 230026, China 2 Department of Mathematics, Harbin Institute of Technology at Weihai, Weihai, Shandong 264209, China

* Corresponding author: Xing Liang

Dedicated to Professor Sze-Bi Hsu on the occasion of his 70th birthday

Received  May 2020 Revised  August 2020 Published  April 2021 Early access  September 2020

Fund Project: Liang's research is supported by the National Natural Science Foundation of China (11971454) and the Fundamental Research Funds for the Central Universities; Zhang's research is supported by the National Natural Science Foundation of China(11901138) and Natural Science Foundation of Shandong Province (ZR2019QA006)

This paper focuses on an optimization problem arising in population biology. We investigate the effect of the resources distribution and the migration rate on the total population size of some species, which migrates among patches with the identical probability and grows logistically in each patch. We aim to maximize the total population size by the distribution of resources and the rate of migration.

Citation: Xing Liang, Lei Zhang. The optimal distribution of resources and rate of migration maximizing the population size in logistic model with identical migration. Discrete & Continuous Dynamical Systems - B, 2021, 26 (4) : 2055-2065. doi: 10.3934/dcdsb.2020280
References:
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References:
 [1] L. J. S. Allen, B. M. Bolker, Y. Lou and A. L. Nevai, Asymptotic profiles of the steady states for an SIS epidemic patch model, SIAM J. Appl. Math., 67 (2007), 1283-1309.  doi: 10.1137/060672522.  Google Scholar [2] X. Bai, X. He and F. Li, An optimization problem and its application in population dynamics, Proc. Amer. Math. Soc., 144 (2016), 2161-2170.  doi: 10.1090/proc/12873.  Google Scholar [3] A. Berman and R. J. Plemmons, Nonnegative Matrices in the Mathematical Sciences, SIAM, Philadelphia, 1994. doi: 10.1137/1.9781611971262.  Google Scholar [4] R. S. Cantrell and C. Cosner, Spatial Ecology via Reaction-Diffusion Equations, Wiley, Chichester, 2004. doi: 10.1002/0470871296.  Google Scholar [5] W. Ding, H. Finotti, S. Lenhart, Y. Lou and Q. Ye, Optimal control of growth coefficient on a steady-state population model, Nonlinear Anal. Real World Appl., 11 (2010), 688-704.  doi: 10.1016/j.nonrwa.2009.01.015.  Google Scholar [6] F. G. Frobenius, Über matrizen aus nicht negativen elementen, S.-B. Deutsch. Akad. Wiss. Berlin, v. 1912,456–477. Google Scholar [7] Y. Lou, On the effects of migration and spatial heterogeneity on single and multiple species, J. Differential Equations, 223 (2006), 400-426.  doi: 10.1016/j.jde.2005.05.010.  Google Scholar [8] Y. Lou, Some reaction diffusion models in spatial ecology, Sci. Sin. Math., 45 (2015), 1619-1634.  doi: 10.1360/N012015-00233.  Google Scholar [9] I. Mazari, G. Nadin and Y. Privat, Optimal location of resources maximizing the total population size in logistic models, J. Math. Pure. Appl., 134 (2020), 1-35.  doi: 10.1016/j.matpur.2019.10.008.  Google Scholar [10] K. Nagahara and E. Yanagida, Maximization of the total population in a reaction-diffusion model with logistic growth, Calc. Var. Partial Differential Equations, 57, (2018), Paper No. 80, 14 pp. doi: 10.1007/s00526-018-1353-7.  Google Scholar [11] O. Perron, Zur theorie der matrices, Math. Ann., 64 (1907), 248-263.  doi: 10.1007/BF01449896.  Google Scholar [12] H. L. Smith, Monotone Dynamical Systems: An Introduction to the Theory of Competitive and Cooperative Systems, Mathematical Surveys and Monographs, 41, American Mathematical Society, Providence, 2008.  Google Scholar [13] X.-Q. Zhao, Dynamical Systems in Population Biology, $2^{nd}$ edition, Springer, New York, 2017. doi: 10.1007/978-3-319-56433-3.  Google Scholar
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