酶动力学中噪声诱导的多模态混沌振荡的成因:随机分岔和灵敏度分析

I. Bashkirtseva
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引用次数: 0

摘要

本文以酶反应的三维模型为例,研究了在单稳定区仅观察到简单确定性周期的复杂多模态混沌振荡的噪声诱导产生机理。在这一代中,确定性环面瞬态的建设性作用被揭示出来。我们对这些现象进行了统计分析,并定位了引起随机[公式:见文]和[公式:见文]分岔的噪声的强度范围,这些分岔与向混沌的过渡和概率密度的质变有关。证明了随机灵敏度函数技术在这些现象分析研究中的构造可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genesis of Noise-Induced Multimodal Chaotic Oscillations in Enzyme Kinetics: Stochastic Bifurcations and Sensitivity Analysis
In this paper, by the example of 3D model of enzyme reaction, we study mechanisms of noise-induced generation of complex multimodal chaotic oscillations in the monostability zone where only simple deterministic cycles are observed. In such a generation, a constructive role of deterministic toroidal transients is revealed. We perform a statistical analysis of these phenomena and localize the intensity range of the noise that causes stochastic [Formula: see text]- and [Formula: see text]-bifurcations connected with transitions to chaos and qualitative changes in the probability density. Constructive possibilities of the stochastic sensitivity function technique in the analytical study of these phenomena are demonstrated.
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