形状空间的 Sheaf 理论构造

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-05-16 DOI:10.1007/s10208-024-09650-1
Shreya Arya, Justin Curry, Sayan Mukherjee
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引用次数: 0

摘要

我们提出了形状空间--所有形状的空间--的 Sheaf 理论构造。为此,我们描述了可构造集的正集类别上的同调 Sheaf,其中每个集都映射到其持久同调变换(PHT)。建立在沙皮拉基础研究之上的最新结果表明,这种变换是注入式的,从而使 PHT 成为每种形状的良好总结对象。我们的同调剪切结果允许我们将不同形状的 PHT "粘合 "在一起,从而建立更大形状的 PHT。在形状是多面体的情况下,我们证明了 PHT 的广义神经稃。最后,通过重新研究 Smale-Niyogi-Weinberger 的采样结果,我们证明了我们可以用多面体可靠地近似流形的 PHT,达到任意精度。
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A Sheaf-Theoretic Construction of Shape Space

We present a sheaf-theoretic construction of shape space—the space of all shapes. We do this by describing a homotopy sheaf on the poset category of constructible sets, where each set is mapped to its Persistent Homology Transforms (PHT). Recent results that build on fundamental work of Schapira have shown that this transform is injective, thus making the PHT a good summary object for each shape. Our homotopy sheaf result allows us to “glue” PHTs of different shapes together to build up the PHT of a larger shape. In the case where our shape is a polyhedron we prove a generalized nerve lemma for the PHT. Finally, by re-examining the sampling result of Smale-Niyogi-Weinberger, we show that we can reliably approximate the PHT of a manifold by a polyhedron up to arbitrary precision.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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