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arXiv 2102.08102cond-mat.stat-mechmath-phmath.DSmath.MPnlin.CD
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Logistic映射轨迹分布:重整化群、熵和向混沌转变时的临界性

Logistic map trajectory distributions: Renormalization-group, entropy and criticality at the transition to chaos

Alvaro Diaz-Ruelas, Fulvio Baldovin, Alberto Robledo

摘要:

我们研究的概率密度的进化的合奏的迭代的逻辑映射的进步,并最终保持在吸引力的代表性的动力学制度。我们考虑了超稳定吸引子沿倍周期级联的镜像族和混沌带吸引子沿逆带分裂级联的镜像族。我们还研究了它们共同的非周期性聚集点。通过Frobenius-Perron(FP)算子的作用确定轨迹密度的迭代时间进程。作为与个别轨道的研究的差异,位置的合奏分析提供了一个观点,从这个图标模型的非线性动力学特征,可以更好地描述在南极力学条款。沿所考虑的家庭的吸引子的密度的缩放符合一个重整化群(RG)的结构,而他们的熵被认为是达到极值的RG流的不动点。此外,作为映射控制参数的函数的该熵显示经历二阶相变的热系统的状态方程的特征。我们讨论我们的结果。

英文摘要:

We study the evolution of the probability density of ensembles of iterates of the logistic map that advance towards and finally remain at attractors of representative dynamical regimes. We consider the mirror families of superstable attractors along the period-doubling cascade, and of chaotic-band attractors along the inverse band-splitting cascade. We examine also their common aperiodic accumulation point. The iteration time progress of the densities of trajectories is determined via the action of the Frobenius-Perron (FP) operator. As a difference with the study of individual orbits, the analysis of ensembles of positions offers a viewpoint from which the nonlinear dynamical features of this iconic model can be better characterized in statistical-mechanical terms. The scaling of the densities along the considered families of attractors conforms to a renormalization-group (RG) structure, while their entropies are seen to attain extrema at the fixed points of the RG flows. Additionally, this entropy as a function of the map control parameter displays the characteristic features of an equation of state of a thermal system undergoing a second-order phase transition. We discuss our results.

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