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arXiv 2503.02411math.DSnlin.CD
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一类连续分段线性平面映射族的进一步结果

Entropy and ω-limit sets on invariant graphs for a class of planar piecewise linear maps

Universitat Autònoma de Barcelona(巴塞罗那自治大学);Universitat Politècnica de Catalunya(加泰罗尼亚理工大学)

Anna Cima, Armengol Gasull, Víctor Mañosa, Francesc Mañosas

AI总结:

研究分段线性映射族F(x,y)=(|x|-y+a, x-|y|+b),分析拓扑熵随分岔参数的变化,发现正熵到零熵连续过渡而零熵到正熵不连续,提供分岔值的任意精确有理界限,并证明在某些参数下图中几乎处处轨道收敛至最多三个omega极限集(有理参数时对应周期轨道)。

摘要:

我们考虑分段线性映射族 $F(x,y)=\left(|x| - y + a, x - |y| + b\right),$ 其中 $(a,b)\in \R^2$。在先前的工作中,我们识别了一个新现象:该类中的某些映射具有一维不变集(平面图),这些图捕捉了系统的全局动力学。在这些图中,对于某些参数值会出现混沌动力学,导致介于规则行为和全平面混沌之间的中间动力学状态。在本研究中,我们重新审视这一族,并详细分析拓扑熵作为分岔参数的函数,发现从正熵到零熵的转变是连续的——而此前我们发现从零熵到正熵的转变是不连续的。我们还提供了一种方法,用于确定发生这种转变的分岔值的任意精确有理界限。最后,受数值模拟在检测这些图中复杂动力学方面的局限性所启发,我们证明对于某些参数值,在这些图中存在一个满测集,其中轨道收敛至最多三个omega极限集,当参数值为有理数时,这些极限集对应于周期轨道。

英文摘要:

We consider the family of piecewise linear maps $F(x,y)=\left(|x| - y + a, x - |y| + b\right),$ where $(a,b)\in \mathbb{R}^2$. In previous work, we identified that certain maps of this class possess one-dimensional invariant sets, planar graphs, that capture the global dynamics of the system. Within these graphs, chaotic dynamics emerge for certain parameter values, leading to an intermediate dynamical regime between regular behavior and full-plane chaos. In the present study, we revisit this family and analyze in detail the topological entropy as a function of a bifurcation parameter, finding that transitions from positive to zero entropy are continuous for certain parameter values and discontinuous for others. We also provide a methodology for determining arbitrarily sharp rational bounds for the bifurcation values at which this transition occurs. Finally, motivated by the limitations of numerical simulations in detecting the complex dynamics within these graphs, we prove that for some parameter values, there exists a full-measure set in these graphs where orbits converge to at most three omega-limit sets, which, when the parameter values are rational, correspond to periodic orbits.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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