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arXiv 1502.00248nlin.CD
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广义逻辑斯蒂映射中的混沌路线

Route to chaos in generalized logistic map

University of Rzeszów(热舒夫大学)

Rafał Rak, Ewa Rak

AI总结:

研究广义逻辑斯蒂映射中混沌产生的机制,通过参数p和q的变化揭示从规则到混沌的过渡特征,揭示吸引子的定量性质和Feigenbaum常数的普遍性。

摘要:

受优化种群演化建模可能性的启发,我们提出了一种广义逻辑斯蒂映射的推广。广义差分方程为:x_{n+1}=rx^p_n(1-x^q_n),其中x∈[0,1],(p,q)>0,n=0,1,2,…,其中两个新参数p和q可以取任何正数值。标准逻辑斯蒂映射对应于p=q=1的情况。对于此类广义方程,我们展示了从规则到混沌过渡的特征,作为r函数的整个p和q参数谱。作为例子,我们考虑了p=1和q=2的情况,分别在周期性和混沌状态下。我们专注于相应的分岔序列特征以及由此产生的吸引子的定量性质及其普遍属性(Feigenbaum常数)。\n

英文摘要:

Motivated by a possibility to optimize modelling of the population evolution we postulate a generalization of the well-know logistic map. Generalized difference equation reads: \begin{equation} x_{n+1}=rx^p_n(1-x^q_n), \end{equation} $x\in[0,1],\;(p,q)>0,\;n=0,1,2,...$, where the two new parameters $p$ and $q$ may assume any positive values. The standard logistic map thus corresponds to the case $p=q=1$. For such a generalized equation we illustrate the character of the transition from regularity to chaos as a function of $r$ for the whole spectrum of $p$ and $q$ parameters. As an example we consider the case for $p=1$ and $q=2$ both in the periodic and chaotic regime. We focus on the character of the corresponding bifurcation sequence and on the quantitative nature of the resulting attractor as well as its universal attribute (Feigenbaum constant).

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