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On the ratio of biomass to total carrying capacity in high dimensions. (English) Zbl 1476.35122

Summary: This paper is concerned with a reaction-diffusion logistic model. In [J. Differ. Equations 223, No. 2, 400–426 (2006; Zbl 1097.35079)], Y. Lou observed that a heterogeneous environment with diffusion makes the total biomass greater than the total carrying capacity. Regarding the ratio of biomass to carrying capacity, X. He and W.-M. Ni [Commun. Pure Appl. Math. 69, No. 5, 981–1014 (2016; Zbl 1338.92105)] raised a conjecture that the ratio has a upper bound depending only on the spatial dimension. For the one-dimensional case, X. Bai et al. [Proc. Am. Math. Soc. 144, No. 5, 2161–2170 (2016; Zbl 1381.35185)] proved that the optimal upper bound is \(3\). Recently, J. Inoue and K. Kuto [Discrete Contin. Dyn. Syst., Ser. B 26, No. 5, 2441–2450 (2021; Zbl 1471.35276)] showed that the supremum of the ratio is infinity when the domain is a multi-dimensional ball. In this paper, we generalized the result of [loc. cit.] to an arbitrary smooth bounded domain in \(\mathbb{R}^n, n\geq 2\). We use the sub-solution and super-solution method. The idea of the proof is essentially the same as the proof of [loc. cit.] but we have improved the construction of sub-solutions. This is the complete answer to the conjecture of Ni.

MSC:

35K58 Semilinear parabolic equations
35B09 Positive solutions to PDEs
35B30 Dependence of solutions to PDEs on initial and/or boundary data and/or on parameters of PDEs
35K20 Initial-boundary value problems for second-order parabolic equations
35Q92 PDEs in connection with biology, chemistry and other natural sciences
Full Text: DOI

References:

[1] X. Bai, X. He, and F. Li,An optimization problem and its application in population dynamics, Proc. Amer. Math. Soc.144(2016), no. 5, 2161-2170.https://doi.org/10. 1090/proc/12873 · Zbl 1381.35185
[2] H. Berestycki, F. Hamel, and H. Matano,Bistable traveling waves around an obstacle, Comm. Pure Appl. Math.62(2009), no. 6, 729-788.https://doi.org/10.1002/cpa. 20275 · Zbl 1172.35031
[3] R. S. Cantrell and C. Cosner,Spatial ecology via reaction-diffusion equations, Wiley Series in Mathematical and Computational Biology, John Wiley & Sons, Ltd., Chichester, 2003.https://doi.org/10.1002/0470871296 · Zbl 1059.92051
[4] 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), no. 2, 688-704.https://doi.org/10.1016/j.nonrwa.2009.01.015 · Zbl 1182.49036
[5] J. Dockery, V. Hutson, K. Mischaikow, and M. Pernarowski,The evolution of slow dispersal rates: a reaction diffusion model, J. Math. Biol.37(1998), no. 1, 61-83. https://doi.org/10.1007/s002850050120 · Zbl 0921.92021
[6] Y. Du,Order structure and topological methods in nonlinear partial differential equations. Vol. 1, Series in Partial Differential Equations and Applications, 2, World Scientific Publishing Co. Pte. Ltd., Hackensack, NJ, 2006.https://doi.org/10.1142/ 9789812774446 · Zbl 1202.35043
[7] X. He, K. Lam, Y. Lou, and W. Ni,Dynamics of a consumer-resource reaction-diffusion model, J. Math. Biol.78(2019), no. 6, 1605-1636.https://doi.org/10.1007/s00285018-1321-z · Zbl 1415.92150
[8] X. He and W.-M. Ni,The effects of diffusion and spatial variation in Lotka-Volterra competition-diffusion system I:Heterogeneity vs. homogeneity, J. Differential Equations 254(2013), no. 2, 528-546.https://doi.org/10.1016/j.jde.2012.08.032 · Zbl 1262.35125
[9] ,The effects of diffusion and spatial variation in Lotka-Volterra competitiondiffusion system II:The general case, J. Differential Equations254(2013), no. 10, 4088-4108.https://doi.org/10.1016/j.jde.2013.02.009 · Zbl 1286.35128
[10] ,Global dynamics of the Lotka-Volterra competition-diffusion system: diffusion and spatial heterogeneity I, Comm. Pure Appl. Math.69(2016), no. 5, 981-1014.https: //doi.org/10.1002/cpa.21596 · Zbl 1338.92105
[11] ,Global dynamics of the Lotka-Volterra competition-diffusion system with equal amount of total resources, II, Calc. Var. Partial Differential Equations55(2016), no. 2, Art. 25, 20 pp.https://doi.org/10.1007/s00526-016-0964-0 · Zbl 1375.35244
[12] ,Global dynamics of the Lotka-Volterra competition-diffusion system with equal amount of total resources, III, Calc. Var. Partial Differential Equations56(2017), no. 5, Paper No. 132, 26 pp.https://doi.org/10.1007/s00526-017-1234-5 · Zbl 1378.35157
[13] J. Inoue and K. Kuto,On the unboundedness of the ratio of species and resources for the diffusive logistic equation, Discrete Contin. Dyn. Syst. Ser. B26(2021), no. 5, 2441-2450.https://dx.doi.org/10.3934/dcdsb.2020186 · Zbl 1471.35276
[14] K.-Y. Lam, S. Liu, and Y. Lou,Selected topics on reaction-diffusion-advection models from spatial ecology, Math. Appl. Sci. Eng.1(2020), no. 2, 150-180.https://doi.org/ 10.5206/mase/10644 · Zbl 1498.92304
[15] K.-Y. Lam and Y. Lou,Persistence, competition, and evolution, in The dynamics of biological systems, 205-238, Math. Planet Earth, 4, Springer, Cham., 2019.https: //doi.org/10.1007/978-3-030-22583-4_8 · Zbl 1439.92160
[16] K.-Y. Lam and W.-M. Ni,Uniqueness and complete dynamics in heterogeneous competition-diffusion systems, SIAM J. Appl. Math.72(2012), no. 6, 1695-1712. https://doi.org/10.1137/120869481 · Zbl 1263.35133
[17] Y. Lou,On the effects of migration and spatial heterogeneity on single and multiple species, J. Differential Equations223(2006), no. 2, 400-426.https://doi.org/10.1016/ j.jde.2005.05.010 · Zbl 1097.35079
[18] ,Some challenging mathematical problems in evolution of dispersal and population dynamics, in Tutorials in mathematical biosciences. IV, 171-205, Lecture Notes in Math., 1922, Math. Biosci. Subser, Springer, Berlin, 2008.https://doi.org/10.1007/ 978-3-540-74331-6_5 · Zbl 1300.92083
[19] Y. Lou and B. Wang,Local dynamics of a diffusive predator-prey model in spatially heterogeneous environment, J. Fixed Point Theory Appl.19(2017), no. 1, 755-772. https://doi.org/10.1007/s11784-016-0372-2 · Zbl 1366.35086
[20] I. Mazari, G. Nadin, and Y. Privat,Optimal location of resources maximizing the total population size in logistic models, J. Math. Pures Appl. (9)134(2020), 1-35.https: //doi.org/10.1016/j.matpur.2019.10.008 · Zbl 1433.92038
[21] I. Mazari and D. Ruiz-Balet,A fragmentation phenomenon for a nonenergetic optimal control problem:optimisation of the total population size in logistic diffusive models, SIAM J. Appl. Math.81(2021), no. 1, 153-172.https://doi.org/10.1137/20M132818X · Zbl 1458.35425
[22] K. Nagahara and E. Yanagida,Maximization of the total population in a reactiondiffusion model with logistic growth, Calc. Var. Partial Differential Equations57(2018), no. 3, Paper No. 80, 14 pp.https://doi.org/10.1007/s00526-018-1353-7 · Zbl 1398.35091
[23] W.-M. Ni,The mathematics of diffusion, CBMS-NSF Regional Conference Series in Applied Mathematics, 82, Society for Industrial and Applied Mathematics (SIAM), Philadelphia, PA, 2011.https://doi.org/10.1137/1.9781611971972 · Zbl 1230.35003
[24] L. Roques and F. Hamel,Mathematical analysis of the optimal habitat configurations for species persistence, Math. Biosci.210(2007), no. 1, 34-59.https://doi.org/10. 1016/j.mbs.2007.05.007 · Zbl 1131.92068
[25] J. G. Skellam,Random dispersal in theoretical populations, Biometrika38(1951), 196- 218.https://doi.org/10.1093/biomet/38.1-2.196 · Zbl 0043.14401
[26] B. Wang and Z. Zhang,Dynamics of a diffusive competition model in spatially heterogeneous environment, J. Math. Anal. Appl.470(2019), no. 1, 169-185.https: //doi.org/10.1016/j.jmaa.2018.09 · Zbl 1516.35236
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