Startseite Mathematik The stationary distribution and ergodicity of a stochastic mutualism model
Artikel
Lizenziert
Nicht lizenziert Erfordert eine Authentifizierung

The stationary distribution and ergodicity of a stochastic mutualism model

  • Jingliang Lv EMAIL logo , Sirun Liu und Heng Liu
Veröffentlicht/Copyright: 18. Mai 2018
Veröffentlichen auch Sie bei De Gruyter Brill

Abstract

This paper is concerned with a stochastic mutualism system with toxicant substances and saturation terms. We obtain the sufficient conditions for the existence of a unique stationary distribution to the equation and it has an ergodic property. It is interesting and surprising that toxicant substances have no effect on the stationary distribution of the stochastic model. Simulations are also carried out to confirm our analytical results.


This work was supported by the National Natural Science Foundation of P. R. China (No.11501148), Shandong Provincial Natural Science Foundation, China (No.ZR2015AQ002).



Communicated by Gejza Wimmer


Acknowledgement

We are grateful to the anonymous referee for his careful reading and helpful suggestions which led to an improvement of our original manuscript.

References

[1] Boucher, D. H.—JAMES, S.—Keeler, K. H.: The ecology of mutualisms, Annu. Rev. Ecol. Syst. 13 (1982), 315–347.10.1146/annurev.es.13.110182.001531Suche in Google Scholar

[2] Dubey, B.: Modelling the interaction of two biological species in a polluted environment, J. Math. Anal. 246 (2000), 58–79.10.1006/jmaa.2000.6741Suche in Google Scholar

[3] Evans, S. N.—Ralph, P.—Schreiber, S. J.—Sen, A.: Stochastic population growth in spatially heterogeneous environments, J. Math. Biol. 66 (2013), 423–476.10.1007/s00285-012-0514-0Suche in Google Scholar PubMed

[4] Friedman, H. I.—Shukla, T. B.: Models for the effect of toxicant in single-species and predator-prey system, J. Math. Biol. 30 (1991), 15–30.10.1007/BF00168004Suche in Google Scholar

[5] Gard, T. C.: Stability for multispecies population models in random environments, Nonlinear Anal. 10 (1986), 1411–1419.10.1016/0362-546X(86)90111-2Suche in Google Scholar

[6] Gard, T. C.: Introduction to Stochastic Differential Equations, Marcel Dekker, New York, 1987.Suche in Google Scholar

[7] Hallam, T. G.—Clark, C. E.— Jordan, G. S.: Effects of toxicants on populations: A qualitative approach II. first order kinetics, J. Math. Biol. 18 (1983), 25–37.10.1007/BF00275908Suche in Google Scholar PubMed

[8] Hasminskii, R. Z.: Stochastic Stability of Differential Equations, Sijthoff and Noordhoff, 1980.10.1007/978-94-009-9121-7Suche in Google Scholar

[9] Holland, J. N.—Deangelis, D. L.: A consumer-resource approach to the density-dependent population dynamics of mutualism, Ecology 91 (2010), 1286–1295.10.1890/09-1163.1Suche in Google Scholar PubMed

[10] Ji, C. Y.—Jiang, D. Q.—Li, X. Y.: Qualitative analysis of a stochastic ratio-dependent predator-prey system, J. Comput. Appl. Math. 235 (2011), 1326–1341.10.1016/j.cam.2010.08.021Suche in Google Scholar

[11] Li, D. S.: The stationary distribution and ergodicity of a stochastic generalized logistic system, Stat. Probability Lett. 83 (2013), 580–583.10.1016/j.spl.2012.11.006Suche in Google Scholar

[12] Liu, M.—Bai, C. Z.: Optimal harvesting of a stochastic mutualism model with Levy jumps, Appl. Math. Comput. 276 (2016), 301–309.10.1016/j.amc.2015.11.089Suche in Google Scholar

[13] Liu, M.—Wang, K.: Stationary distribution, ergodicity and extinction of a stochastic generalized logistic system, Appl. Math. Lett. 25 (2012), 1980–1985.10.1016/j.aml.2012.03.015Suche in Google Scholar

[14] Liu, M.— Wang, K.: Survival analysis of stochastic single-species population models in polluted environments, Ecol. Model 220 (2009), 1347–1357.10.1016/j.ecolmodel.2009.03.001Suche in Google Scholar

[15] Liu, M.—Wang, K.—Liu, X. W.: Long term behaviors of stochastic single-species growth models in a polluted environment II, Appl. Math. Model 35 (2011), 752–762.10.1016/j.apm.2010.07.031Suche in Google Scholar

[16] Liu, Q.—Chen, Q. M.—Hu, Y. Y.: Analysis of a stochastic mutualism model, Commun. Nonlinear Sci. 29 (2015), 188–197.10.1016/j.cnsns.2015.05.010Suche in Google Scholar

[17] Liu, Q.—Zu, L.—Jiang, D. Q.:Dynamics of stochastic predator-prey models with Holling II functional response, Commun. Nonlinear Sci. 37 (2016), 62–76.10.1016/j.cnsns.2016.01.005Suche in Google Scholar

[18] Liu, Z. H.—Liu, Q.: Persistence and extinction of a stochastic delay predator-prey model in a polluted envionment, Math. Slovaca 66 (2016), 95–106.10.1515/ms-2015-0119Suche in Google Scholar

[19] Mao, X. R.: Stationary distribution of stochastic population systems, Syst. Control Lett. 60 (2011), 398–405.10.1016/j.sysconle.2011.02.013Suche in Google Scholar

[20] Mao, X. R.—Marion, G.—Renshaw, E.: Environmental Brownian noise suppresses explosions in population dynamics, Stoch. Proc. Appl. 97 (2002), 95–110.10.1016/S0304-4149(01)00126-0Suche in Google Scholar

[21] Mukherjee, D.: Persistence and global stability of a population in a polluted environment with delay, J. Boil. Syst. 10 (2002), 225–232.10.1142/S021833900200055XSuche in Google Scholar

[22] Strang, G.: Linear Algebra and its Applications, Thomson Learning, Inc., 1988.Suche in Google Scholar

[23] Zhao, Y.—Yuan, S. L.—Ma, J. L.: Survival and stationary distribution analysis of a stochastic competitive model of three species in a polluted environment, Bull. Math. Biol. 77 (2015), 1285–1326.10.1007/s11538-015-0086-4Suche in Google Scholar PubMed

[24] Zhou, Y. L.—Zhang, W. G.—Yuan, S. L.: Survival and stationary distribution of a SIR epidemic model with stochastic perturbations, Appl. Math. Comput. 244 (2014), 118–131.10.1016/j.amc.2014.06.100Suche in Google Scholar

[25] Zhu, C.—Yin, G.: Asymptotic properties of hybrid diffusion systems, SIAM J. Control Optim. 46 (2007), 1155–1179.10.1137/060649343Suche in Google Scholar

Received: 2016-8-16
Accepted: 2017-2-1
Published Online: 2018-5-18
Published in Print: 2018-6-26

© 2018 Mathematical Institute Slovak Academy of Sciences

Heruntergeladen am 16.12.2025 von https://www.degruyterbrill.com/document/doi/10.1515/ms-2017-0135/pdf
Button zum nach oben scrollen