期刊论文详细信息
Research & Reviews: Journal of Statistics and Mathematical Sciences
Complexity in the Stochastic Kaldor-Kalecki Model of Business Cyclewith Noise
article
Lin Zeng1  Xuehan Xu1  Zaitang Huang1 
[1] School of Mathematical Sciences, Guangxi Teachers Education University
关键词: Stochastic bifurcation and stability;    Lyapunov exponent;    Invariant measure;    Kaldor-Kalecki model;   
来源: Research & Reviews
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【 摘 要 】

In the paper, the stochastic Kaldor-Kalecki model of business cycle with noise is investigated. By analyzing the Lyapunov exponent, invariant measure and singular boundary theory, some new criteria ensuring stochastic stability, P-bifurcation and pitchfork bifurcation for stochastic Kaldor-Kalecki model are obtained, respectively. Numerical simulation results are given to support the theoretical predictions.

【 授权许可】

Unknown   

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