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Stochastic period-doubling bifurcation analysis of stochastic Bonhoeffer-van der Pol system

机译:随机Bonhoeffer-van der Pol系统的随机倍频分岔分析

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摘要

In this paper, the Chebyshev polynomial approximation is applied to the problem of stochastic period-doubling bifurcation of a stochastic Bonhoeffer-van der Pol (BVP for short) system with a bounded random parameter. In the analysis, the stochastic BVP system is transformed by the Chebyshev polynomial approximation into an equivalent deterministic system, whose response can be readily obtained by conventional numerical methods. In this way we have explored plenty of stochastic period-doubling bifurcation phenomena of the stochastic BVP system. The numerical simulations show that the behaviour of the stochastic period-doubling bifurcation in the stochastic BVP system is by and large similar to that in the deterministic mean-parameter BVP system, but there are still some featured differences between them. For example, in the stochastic dynamic system the period-doubling bifurcation point diffuses into a critical interval and the location of the critical interval shifts with the variation of intensity of the random, parameter. The obtained results show that Chebyshev polynomial approximation is an effective approach to dynamical problems in some typical nonlinear systems with a bounded random parameter of an arch-like probability density function.
机译:本文将Chebyshev多项式逼近应用于带随机参数的随机Bonhoeffer-van der Pol(简称BVP)系统的随机周期加倍分支。在分析中,通过Chebyshev多项式逼近将随机BVP系统转换为等效的确定性系统,该系统的响应可以通过常规数值方法轻松获得。通过这种方式,我们探索了随机BVP系统的大量随机周期倍增分叉现象。数值模拟表明,随机BVP系统中随机周期倍增分叉的行为与确定性均参数BVP系统中的行为大体上相似,但是它们之间仍然存在一些特征上的差异。例如,在随机动态系统中,倍频分叉点扩散到一个临界区间,并且该临界区间的位置随随机参数强度的变化而变化。所得结果表明,切比雪夫多项式逼近法是一些典型的非线性系统的动力学问题的有效方法,该非线性系统的边界参数为拱形概率密度函数。

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