Abstract
It is shown that the Fokker-Planck-Kolmogorov equation in terms of amplitude and phase may, in the stationary case, be reduced to a first order partial differential equation which we call the stationary reduced Fokker-Planck-Kolmogorov. A method for approximate solution of the reduced equation is presented which does not need assumptions on the smallness of nonlinearity of a system and intensity of random influences.
Literature cited
Yu. A. Mitropol'skii and V. G. Kolomiets, “Applications of asymptotic methods in stochastic systems,” in: Approximate Methods of Studying Nonlinear Systems [in Russian], Inst. Matematiki, Akad. Nauk UkrSSR, Kiev (1976), pp. 12–147.
É. Kamke, Handbook of First Order Partial Differential Equations [in Russian], Nauka, Moscow (1966).
K. V. Gardiner, Stochastic Methods in Natural Science [Russian translation], Mir, Moscow (1986).
Nguyen Dong An, “Reciprocal influence of different types of random and periodic stimuli in oscillatory nonlinear systems,” Diss., Doct. Phys.-Math. Sciences, Kiev (1986).
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Translated from Ukrainskii Matematicheskii Zhurnal, Vol. 44, No. 8, pp. 1123–1129, August, 1992.
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Khiem, N.T. A new approach to solving the stationary Fokker-Planck-Kolmogorov equation for a randomly oscillating nonlinear system. Ukr Math J 44, 1025–1031 (1992). https://doi.org/10.1007/BF01057125
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DOI: https://doi.org/10.1007/BF01057125