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Limit cycles in piecewise-affine gene network models with multiple interaction loops

机译:具有多个交互回路的分段仿射基因网络模型中的极限环

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In this article, we consider piecewise affine differential equations modelling gene networks. We work with arbitrary decay rates, and under a local hypothesis expressed as an alignment condition of successive focal points. The interaction graph of the system may be rather complex (multiple intricate loops of any sign, multiple thresholds, etc.). Our main result is an alternative theorem showing that if a sequence of region is periodically visited by trajectories, then under our hypotheses, there exists either a unique stable periodic solution, or the origin attracts all trajectories in this sequence of regions. This result extends greatly our previous work on a single negative feedback loop. We give several examples and simulations illustrating different cases.
机译:在本文中,我们考虑了仿射分段仿射微分方程建模基因网络。我们以任意衰减率工作,并在局部假设下表示为连续焦点的对准条件。系统的交互图可能非常复杂(任何符号的多个复杂循环,多个阈值等)。我们的主要结果是一个替代定理,该定理表明,如果轨迹周期性地访问区域序列,那么在我们的假设下,将存在唯一的稳定周期解,或者原点吸引了该序列区域中的所有轨迹。这个结果大大扩展了我们先前在单个负反馈回路上的工作。我们给出了几个例子和模拟来说明不同的情况。

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