拟周期可约鞍结分岔的数值计算:一种参数化方法途径
Numerical Computation of Quasiperiodic Reducible Saddle-Node Bifurcations: a Parameterization Method Approach
AI总结:
提出计算自治常微分方程系统中具有内部拟周期动力学的可约、正常双曲不变环面的方法,基于KAM理论参数化方法,能确定环面存在的系统参数,适用于伪弧长延拓计算鞍结分岔。
摘要:
我们提出了一种在自治常微分方程系统中计算具有内部拟周期动力学的可约、正常双曲不变环面的方法。该方法基于KAM理论的参数化方法;因此,它是一种带有小除数的牛顿格式。由于规定了环面的内部动力学,同时确定了存在这种环面的相应系统参数。该方法适用于一种伪弧长延拓形式,能够遍历和计算鞍结分岔。我们给出了该方法的显式算法,并通过两个数值例子证明了它们的适用性。
英文摘要:
We present a method for computing reducible, normally hyperbolic, invariant tori with internal quasiperiodic dynamics in autonomous ordinary differential equation systems. The approach is based on the parameterization method of KAM theory; thus, it is a Newton scheme with small divisors. Since the inner dynamics of the torus is prescribed, the corresponding system parameters for which such a torus exists are simultaneously determined. The method is amenable to a form of pseudo-arclength continuation, enabling the traversal and computation of saddle-node bifurcations. We give explicit algorithms for the methods and demonstrate their applicability with two numerical examples.
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