Welcome 2 Karachi Subtitles Torrent ((NEW))

by iolvayl
Published: August 2, 2022 (2 weeks ago)

Welcome 2 Karachi Subtitles Torrent ((NEW))





 
 
 
 
 
 
 

Welcome 2 Karachi Subtitles Torrent

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We note that in Fig.[fig:scaling-D]a, the system size $N$ is chosen to be $200$. However, as shown in Fig.[fig:scaling-D]b, it is found that the system size no longer has a significant effect on the scaling of the RMSD when the system size is above $N=50$. This is because the Kolmogorov-Sinai entropy density quickly saturates for large system sizes, and the distribution approaches a Gaussian form with the width depending only on $N_D$ but not on $N$.

It is reasonable to assume that a system size $N gtrsim 50$ will be large enough to provide the Kolmogorov-Sinai entropy density needed to distinguish whether the system exhibits stochasticity or not in a given time interval. Therefore, in our further analysis, we simply take $N=50$ in the cases of $N=50$ and $N=200$ so that the RMSD scales the same way as the Kolmogorov-Sinai entropy density. In contrast, in the case of $N=200$ with $gamma=0.5$, where the scaling is slower, we take $N=200$ for the scaling of RMSD, while for that of KS entropy density, we take $N=50$.

Comparing the results of the KS entropy density with the results of the RMSD, it is found that the early time behavior of the two time series is qualitatively different. In Fig.[fig:scaling-D]a, we see that the RMSD initially follows the power law $$D(t) = t^{1/3}$$ for small times, then switches to a slower power law at some time $t^*$ for larger times. The behavior of the KS entropy density, however, initially follows the power law $$h_{KS} = t^{ -1/2}$$ for small times,
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