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Spectral sequences and computation of parametric normal forms of differential equations.

机译:谱序列和微分方程参数正态形式的计算。

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摘要

Parametric normal form theory is the only theory of normal forms that is useful for direct bifurcation and stability analysis of nonlinear differential equations modeled in real life problems. It can provide the transformations between the original parametric system and its parametric normal form.;Recently several researchers have developed an efficient computing method for parametric normal forms and have applied it to several singularities. It is proved that parametric normal form theory requires time rescaling and reparametrization alongside of changes of state variable. We develop two new methods for parametric normal forms of vector fields. One uses the method of spectral sequences on locally finite graded parametric vector fields while the other employs the notion of formal decompositions and the multi-Lie bracket method. We introduce suitable algebraic structures for computation of parametric normal forms of several singularities. This includes parametric state space, parametric time space and parameter space. Parametric time space represents a locally finite graded local ring while parametric state space is represented by a Lie algebra as well as a module over the ring of parametric time space. Parameter space describes a locally finite graded vector space while the near identity reparametrization maps form a group acting on parametric state space. It is known that the near identity changes of state variable generated from the flows of vector fields with no linear part form a group, called the Campbell-Hausdorff group, acting on the parametric state space. Therefore, the near identity time rescaling, reparametrization and changes of state variable can be unified by considering them all as some groups acting on the parametric state space. We prove that all three groups are subgroups of filtration preserving automorphisms of the parametric state space. Indeed, they are presented as direct products of each other in this representation. This plays the key role in the method of spectral sequences on parametric normal forms. It also explains the main reason for our claim that time rescaling and reparametrization are required alongside the change of state variable. We introduce these three group structures for parametric systems of Hopf, generalized Hopf and Bogdanov-Takens types and apply them to obtain parametric normal forms of these singularities. Some generic conditions are assumed regarding parameters for all three cases in addition to an extra generic condition for the Bogdanov-Takens singularity.
机译:参数范式理论是唯一可用于直接分叉和对在现实生活中建模的非线性微分方程进行稳定性分析的范式理论。它可以提供原始参数系统及其参数范式之间的转换。最近,一些研究人员开发了一种有效的参数范式计算方法,并将其应用于几种奇点。事实证明,参数范式理论需要时间缩放和重新参数化以及状态变量的变化。我们为矢量场的参数法线形式开发了两种新方法。一种使用局部有限渐变参数矢量场上的频谱序列方法,另一种则使用形式分解的概念和多李括号法。我们介绍了适合的代数结构,用于计算几种奇点的参数正规形式。这包括参数状态空间,参数时间空间和参数空间。参数时间空间表示局部有限的渐变局部环,而参数状态空间由李代数以及参数时间空间环上的模块表示。参数空间描述了局部有限的梯度向量空间,而近恒等式重新参数化映射形成了作用于参数状态空间的一组。众所周知,由不具有线性部分的矢量场流产生的状态变量的近恒等式变化形成了一个作用在参数状态空间上的称为坎贝尔-豪斯道夫组的组。因此,可以通过将它们全部视为作用在参数状态空间上的某些组,来统一接近标识时间的重新缩放,重新参数化和状态变量的变化。我们证明这三组都是过滤的子组,保留了参数状态空间的自同构性。实际上,它们在此表示形式中是作为彼此的直接产品呈现的。这在参数范式上的光谱序列方法中起着关键作用。这也解释了我们声称与状态变量的变化同时需要时间缩放和重新参数化的主要原因。我们介绍了Hopf,广义Hopf和Bogdanov-Takens类型的参数系统的这三个组结构,并将其应用于获得这些奇点的参数正规形式。除了针对Bogdanov-Takens奇点的额外通用条件外,还针对所有这三种情况假设了一些通用条件。

著录项

  • 作者

    Gazor, Majid.;

  • 作者单位

    The University of Western Ontario (Canada).;

  • 授予单位 The University of Western Ontario (Canada).;
  • 学科 Mathematics.
  • 学位 Ph.D.
  • 年度 2008
  • 页码 145 p.
  • 总页数 145
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 数学;
  • 关键词

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