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arXiv 1003.0728nlin.CDhep-ph
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蔡氏电路中电流混沌振荡的熵及其HMM分析

Entropy of Chaotic Oscillations of Currents in the Chua Circuit and its HMM Analysis

Sadataka Furui

摘要:

我们研究了蔡氏电路中电流混沌振荡的熵,该电路通过触发一个脉冲来控制,该脉冲使进入不稳定分支的轨道回到稳定分支。两个电容器的电压和在蔡氏电路的电感器上流动的电流的数值模拟揭示了随着连接在两个电容器之间并直接连接到电感器的电导的变化的各种振荡模式。在小电导时,两个电容器的电压的Lissajous图显示螺旋,而在高电导时出现双涡卷图案。流过电感的电流熵在稳态螺旋状态下局部最小,而在稳态双涡状态下局部最大。利用隐马尔可夫模型(HMM)对稳定的双涡卷样本进行分析,发现长时间序列的转移矩阵特征向量严格为正,而不稳定的短时间序列的转移矩阵特征向量具有负分量。因此,我们确认最大熵产生的最长的时间序列的双涡卷周围的右不动点,而局部最小熵产生发生在螺旋周围的左不动点。

英文摘要:

We study entropy of chaotic oscillation of electrical currents in the Chua's circuit controlled by triggering a pulse that brings the orbit that goes onto an unstable branch back to a stable branch. A numerical simulation of the voltage of the two capacitors and the current that flows on an inductor of the Chua's circuit reveals various oscillation patterns as the conductance that is connected between the two capacitors and directly connected to an inductor is varied. At small conductance, the Lissajous graph of the voltage of the two capacitors shows a spiral, while at high conductance a double scroll pattern appears. The entropy of the current that flows on the inductor is alocal minimum in the spiral state which is in the steady state, while it is maximum in the stable double scroll state. The stable double scroll samples are analyzed by using the Hidden Markov Model (HMM) and the eigenvectors of the transition matrix of long time series are found to be strictly positive but those of unstable short time series have negative components. We thus confirm maximum entropy production in the double scroll of the longest time series around the right fixed point, while the local minimum entropy production occurs in the spiral around the left fixed point.

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