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A famous nonlinear stochastic equation (Lotka-Volterra model with diffusion). (English) Zbl 1049.92030

The paper is devoted to a survey of several probabilistic models related to the classical Lotka-Volterra equation (predator-prey systems). A typical two-dimensional model is described by a system of stochastic differential equations \[ \begin{align*}{ dX_1(t)=&X_1(t)(b_1-a_{11}X_1(t)-a_{12}X_2(t))dt+G_1X_1(t)dw_1(t),\cr dX_2(t)=&X_2(t)(b_2-a_{21}X_1(t)-a_{22}X_2(t))dt+G_2X_2(t)dw_2(t),\cr }\end{align*} \] where \(w_1,w_2\) are independent standard Brownian motions. Using the Itô formula this system can be given an exponential form and the long-time behavior of the solutions can be analyzed. Also, some rather well-known facts on absolute continuity and stability of solutions of SDEs as well as on filtering of linear Gaussian systems are recalled.

MSC:

92D25 Population dynamics (general)
60H10 Stochastic ordinary differential equations (aspects of stochastic analysis)
60G35 Signal detection and filtering (aspects of stochastic processes)
34D20 Stability of solutions to ordinary differential equations
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References:

[1] Arnold, L.; Horsthemke, W.; Stucki, J. W., The influence of external real and white noise on the Lotka-Volterra model, Biom. Journal, 21, 5, 451-471 (1979) · Zbl 0433.92019
[2] Arató, M.; Arató, M., Linear stochastic systems with constant coefficients. A statistical approach, (Linear stochastic systems with constant coefficients. A statistical approach. Linear stochastic systems with constant coefficients. A statistical approach, Lecture Notes in Control and Inf., Volume 45 (1982), Springer-Verlag: Springer-Verlag Berlin). (Lecture Notes in Control and Inf., Volume 45 (1989), Nauka: Nauka Moscow), (in Russian) · Zbl 0544.93060
[3] Arató, M., On parameter estimation in the presence of noise, Teor. Verojatn. Primen., 29, 3, 599-604 (1984) · Zbl 0568.62077
[4] Arató, M., On a sufficient statistics of Gaussian processes with rational spectral density function, Theory of Probability and Applications, 30, 3, 599-604 (1985) · Zbl 0568.62077
[5] Liptser, R. S.; Shiryaev, A. N., Statistics of Random Processes (1974), Nauka: Nauka Moscow, (in Russian) · Zbl 0591.60039
[6] Arató, M.; Kolmogorov, A. N.; Sinay, Ya. G., Estimation of the parameters of a complex stationary Gaussian Markov process, Dokl. Akad. Nauk SSSR, 146, 747-750 (1962) · Zbl 0136.40702
[7] Cui, J.; Chen, L., The effect of diffusion on the time varying logistic population growth, Computers Math. Applic., 36, 3, 1-9 (1998) · Zbl 0934.92025
[8] Teng, Z.; Li, Z., Permanence and asymptotic behavior of the N-species nonautonomous Lotka-Volterra competitive systems, Computers Math. Applic., 39, 7/8, 107-116 (2000) · Zbl 0959.34039
[9] Zhang, J. R.; Chen, L. S., Periodic solutions of single-species nonautonomous diffusion models with continuous time delays, Mathl. Comput. Modelling, 23, 7, 17-28 (1996) · Zbl 0864.60058
[10] Marchuk, J. G., Mathematical Models in Immunology (1985), Nauka: Nauka Moscow · Zbl 0825.92076
[11] Hatvani, L.; Pintér, L., Differenciálegyenletes Modellek a Középiskolában (1997), Polygon: Polygon Szeged, (in Hungarian)
[12] Belousov, B. P., Sbornik Ref. Radiats. Med., 145 (1958)
[13] Zhabotinsky, A. M., Biofaxika, 9, 306 (1964)
[14] Agur, Z.; Cojocaru, L.; Mazor, G.; Anderson, R.; Danon, Y., Pulse mass measles vaccination across age cohorts, (Proc. Natl. Acad. Sci. USA, 90 (1993)), 11698-11702
[15] Agur, Z., Randomness synchrony and population persistence, J. Theor. Biol., 112, 677-693 (1985)
[16] Khasminsky, R. Z., Stability of Differential Equation with Random Disturbances of Parameters (1969), Nauka: Nauka Moscow, (in Russian) · Zbl 0214.15903
[17] Khasminsky, R. Z.; Nevelson, M. B., Stochastic Approximation and Recurrent Estimation (1972), Nauka: Nauka Moscow, (in Russian) · Zbl 0279.62021
[18] Gihman, J. J.; Skorokhod, A. V., Stochastic Differential Equations (1968), Naukova Dumka: Naukova Dumka Kiev, (in Russian) · Zbl 0169.48702
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