How additive noise forms and shifts phantom attractors in slow-fast systems

被引:10
作者
Bashkirtseva, Irina [1 ]
Ryashko, Lev [1 ]
机构
[1] Ural Fed Univ, Inst Nat Sci & Math, Lenina 51, Ekaterinburg, Russia
基金
俄罗斯科学基金会;
关键词
noise; slow-fast systems; phantom attractors; freezing and averaging; stochastic shifts;
D O I
10.1088/1751-8121/aba76f
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
We present a peculiar phenomenon of the formation and shift of a localized random distribution in slow-fast systems forced by additive white Gaussian noise. Location of such 'phantom' attractors in zones far from deterministic attractors is theoretically analysed by the method of freezing and averaging. This method is applied to the analysis of the Goldbeter enzymatic model and FitzHugh-Nagumo neural model, in which noise-induced formation and shifts of 'phantom' attractors are detected.
引用
收藏
页数:10
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