Minimal projective resolution and magnitude homology of geodetic metric spaces

Yasuhiko Asao, Shun Wakatsuki
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Abstract

Asao-Ivanov showed that magnitude homology is a Tor functor, hence we can compute it by giving a projective resolution of a certain module. In this article, we compute magnitude homology by constructing a minimal projective resolution. As a consequence, we determine magnitude homology of geodetic metric spaces. We show that it is a free $\mathbb Z$-module, and give a recursive algorithm for constructing all cycles. As a corollary, we show that a finite geodetic metric space is diagonal if and only if it contains no 4-cuts. Moreover, we give explicit computations for cycle graphs, Petersen graph, Hoffman-Singleton graph, and a missing Moore graph. It includes another approach to the computation for cycle graphs, which has been studied by Hepworth--Willerton and Gu.
大地测量度量空间的最小投影分辨率和量级同源性
阿绍-伊万诺夫(Asao-Ivanov)证明了幅同调是一个 Tor 函数,因此我们可以通过给出某个模块的投影解析来计算幅同调。在本文中,我们通过构造最小投影解析来计算幅同调。因此,我们确定了大地测量空间的幅同调。我们证明了它是一个自由的 $\mathbb Z$ 模块,并给出了构造所有循环的递归算法。此外,我们还给出了循环图、彼得森图、霍夫曼-辛格尔顿图和缺失摩尔图的显式计算。此外,我们还给出了循环图、彼得森图、霍夫曼-辛格尔顿图和缺失摩尔图的明确计算方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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