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A Study of Monodromy in the Computation of Multidimensional Persistence

机译:多维余辉计算中的一元论研究

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The computation of multidimensional persistent Betti numbers for a sublevel filtration on a suitable topological space equipped with a R~n-valued continuous filtering function can be reduced to the problem of computing persistent Betti numbers for a parameterized family of one-dimensional filtering functions. A notion of continuity for points in persistence diagrams exists over this parameter space excluding a discrete number of so-called singular parameter values. We have identified instances of nontrivial monodromy over loops in nonsingular parameter space. In other words, following cornerpoints of the persistence diagrams along nontrivial loops can result in them switching places. This has an important incidence, e.g., in computer-assisted shape recognition, as we believe that new, improved distances between shape signatures can be defined by considering continuous families of matchings between cornerpoints along paths in nonsingular parameter space. Considering that nonhomotopic paths may yield different matchings will therefore be necessary. In this contribution we will discuss theoretical properties of the monodromy in question and give an example of a filtration in which it can be shown to be nontrivial.
机译:可以将在具有Rn值连续滤波函数的合适拓扑空间上进行子级滤波的多维持久性Betti数的计算减少到为一维滤波函数的参数化族计算持久性Betti数的问题。持久性图中各点的连续性概念在此参数空间上存在,不包括离散数量的所谓的奇异参数值。我们已经确定了非奇异参数空间中非平凡单峰over循环的实例。换句话说,沿着非平凡循环遵循持久性图的角点可能会导致它们切换位置。这在例如计算机辅助的形状识别中具有重要的意义,因为我们认为可以通过考虑沿非奇异参数空间中的路径的角点之间的连续匹配族来定义形状签名之间新的,改进的距离。因此,考虑非同构路径可能产生不同的匹配将是必要的。在这一贡献中,我们将讨论所讨论的单峰的理论特性,并给出一个可以证明其不平凡的过滤示例。

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