446 research outputs found
Bifurcations and strange nonchaotic attractors in a phase oscillator model of glacial-interglacial cycles
Glacial-interglacial cycles are large variations in continental ice mass and
greenhouse gases, which have dominated climate variability over the Quaternary.
The dominant periodicity of the cycles is 40 kyr before the so-called
middle Pleistocene transition between 1.2 and 0.7 Myr ago, and it
is 100 kyr after the transition. In this paper, the dynamics of
glacial-interglacial cycles are investigated using a phase oscillator model
forced by the time-varying incoming solar radiation (insolation). We analyze
the bifurcations of the system and show that strange nonchaotic attractors
appear through nonsmooth saddle-node bifurcations of tori. The bifurcation
analysis indicates that mode-locking is likely to occur for the 41 kyr glacial
cycles but not likely for the 100 kyr glacial cycles. The sequence of
mode-locked 41 kyr cycles is robust to small parameter changes. However, the
sequence of 100 kyr glacial cycles can be sensitive to parameter changes when
the system has a strange nonchaotic attractor.Comment: 25 pages, 9 figure
Stochastic Synchronization of Genetic Oscillator Networks
The study of synchronization among genetic oscillators is essential for the
understanding of the rhythmic phenomena of living organisms at both molecular
and cellular levels. Genetic networks are intrinsically noisy due to natural
random intra- and inter-cellular fluctuations. Therefore, it is important to
study the effects of noise perturbation on the synchronous dynamics of genetic
oscillators. From the synthetic biology viewpoint, it is also important to
implement biological systems that minimizing the negative influence of the
perturbations. In this paper, based on systems biology approach, we provide a
general theoretical result on the synchronization of genetic oscillators with
stochastic perturbations. By exploiting the specific properties of many genetic
oscillator models, we provide an easy-verified sufficient condition for the
stochastic synchronization of coupled genetic oscillators, based on the Lur'e
system approach in control theory. A design principle for minimizing the
influence of noise is also presented. To demonstrate the effectiveness of our
theoretical results, a population of coupled repressillators is adopted as a
numerical example. In summary, we present an efficient theoretical method for
analyzing the synchronization of genetic oscillator networks, which is helpful
for understanding and testing the synchronization phenomena in biological
organisms. Besides, the results are actually applicable to general oscillator
networks.Comment: 14 pages, 4 figure
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