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Quantales, persistence, and magnitude homology

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arxiv 1910.02905 v4 pith:E7RHPGQK submitted 2019-10-07 math.AT math.CTmath.MG

classification math.ATmath.CTmath.MG
keywords magnitudenervehomologychoicecomplexmathbbprocessesvietoris-rips
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abstract

We construct a nerve functor parametrized by a choice of quantale, exhibiting both the Vietoris-Rips complex and the magnitude nerve as instances of this nerve for different choices of monoidal structure on $\mathbb{R}$. Furthermore, the difference between how persistent homology processes the Vietoris-Rips complex and how magnitude homology processes the magnitude nerve is cast as a choice of whether or not to "localize" the corresponding nerves along $\mathbb{R}$ in a precise sense. Lastly, we mention some application-oriented observations naturally suggested by the perspective mentioned above.

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Cited by 1 Pith paper

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  1. Magnitude homology and Euler characteristics of directed acyclic graphs

    math.AT 2026-07 conditional novelty 5.0 of 10

    A decategorification shortcut turns magnitude-homology Euler characteristic computation for DAGs into a polynomial-arithmetic linear solve, with a proof-of-concept on MLP activation graphs.

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