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arXiv 2107.02115math.DScs.CGmath.AT
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组合动力系统中Conley-Morse图的持久性

Persistence of Conley-Morse Graphs in Combinatorial Dynamical Systems

Tamal K. Dey, Marian Mrozek, Ryan Slechta

摘要:

多向量场为在组合框架下研究连续动力系统提供了一条途径。目前有两种方法在文献中使用持续同源捕捉变化的组合动力系统。第一个捕获Conley指数的变化,而第二个捕获Morse分解的变化。然而,这种方法有局限性。前一种方法只描述了Conley指数如何在选定的孤立不变集上变化,尽管动态可能比单个孤立不变集的行为复杂得多。同样,考虑Morse分解忽略了关于各个Morse集的许多信息。在本文中,我们提出了一种方法来总结变化的组合动力系统捕捉变化的所谓的康利-莫尔斯图。Conley-Morse图包含关于所选Morse分解的结构和关于分解中每个Morse集的Conley索引的信息。因此,我们的方法总结了一系列的动力系统在一个更细的粒度比以前的方法的结构变化。

英文摘要:

Multivector fields provide an avenue for studying continuous dynamical systems in a combinatorial framework. There are currently two approaches in the literature which use persistent homology to capture changes in combinatorial dynamical systems. The first captures changes in the Conley index, while the second captures changes in the Morse decomposition. However, such approaches have limitations. The former approach only describes how the Conley index changes across a selected isolated invariant set though the dynamics can be much more complicated than the behavior of a single isolated invariant set. Likewise, considering a Morse decomposition omits much information about the individual Morse sets. In this paper, we propose a method to summarize changes in combinatorial dynamical systems by capturing changes in the so-called Conley-Morse graphs. A Conley-Morse graph contains information about both the structure of a selected Morse decomposition and about the Conley index at each Morse set in the decomposition. Hence, our method summarizes the changing structure of a sequence of dynamical systems at a finer granularity than previous approaches.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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