P-Bifurcations in the Stochastic Version of the Duffing-van der Pol Equation

Y. Liang, N. Namachchivaya
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引用次数: 1

Abstract

In this paper, we shall re-examine the stochastic version of the Duffing-van der Pol equation. As in [2], [9], [19], [22], we shall introduce a multiplicative and an additive stochastic excitation in our case, i.e.x¨=(α+σ1ξ1)x+βx˙+ax3+bx2x˙+σ2ξ2, where, α and β are the bifurcation parameters, ζ1 and ζ2 are white noise processes with intensities σ1 and σ2, respectively. The existence of the extrema of the probability density function is presented for the stochastic system. The method used in this paper is essentially the same as what has been used in [19]. We first reduce the above system to a weakly perturbed conservative system by introducing an appropriate scaling. The corresponding unperturbed system is then studied. Subsequently, by transforming the variables and performing stochastic averaging, we obtain a one-dimensional Itv equation of the Hamiltonian H. The probability density function is found by solving the Fokker-Planck equation. The extrema of the probability density function are then calculated in order to study the so-called P-Bifurcation. The bifurcation pictures for the stochastic version Duffing-van der Pol oscillator with a = −1.0, b = −1.0 over the whole (α, β)-plane are given. The related mean exit time problem has also been studied.
Duffing-van der Pol方程随机版本的p分岔
在本文中,我们将重新研究Duffing-van der Pol方程的随机版本。与[2]、[9]、[19]、[22]一样,在我们的例子中,我们将引入一个乘法和加性随机激励,即x¨=(α+σ1 - ξ1)x+βx˙+ax3+bx2x˙+σ2 - ξ2,其中,α和β是分岔参数,ζ1和ζ2分别是强度为σ1和σ2的白噪声过程。给出了随机系统概率密度函数极值的存在性。本文采用的方法与文献[19]基本相同。我们首先通过引入适当的标度,将上述系统简化为弱摄动保守系统。然后对相应的无扰动系统进行了研究。随后,通过变换变量并进行随机平均,得到哈密顿h的一维Itv方程,通过求解Fokker-Planck方程得到概率密度函数。然后计算概率密度函数的极值,以研究所谓的p分岔。给出了a = - 1.0, b = - 1.0时随机Duffing-van der Pol振子在整个(α, β)平面上的分岔图。并对相关的平均退出时间问题进行了研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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