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arXiv:1711.00802math.AT

Magnitude homology of enriched categories and metric spaces

Tom Leinster, Michael Shulman

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Abstract

Magnitude is a numerical invariant of enriched categories, including in particular metric spaces as $[0,\infty)$-enriched categories. We show that in many cases magnitude can be categorified to a homology theory for enriched categories, which we call magnitude homology (in fact, it is a special sort of Hochschild homology), whose graded Euler characteristic is the magnitude. Magnitude homology of metric spaces generalizes the Hepworth--Willerton magnitude homology of graphs, and detects geometric information such as convexity.

arXiv comments
47 pages; v2: fixed some errors in the discussion of H_2; v3: reorganized to be more accessible and concrete, based on referee suggestions; v4: journal version, to appear in Algebraic & Geometric Topology
Journal reference
Algebr. Geom. Topol. 21 (2021) 2175-2221
DOI
doi:10.2140/agt.2021.21.2175
Subjects
math.ATAlgebraic Topology math.CTCategory Theory math.MGMetric Geometry

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    • It's not clear what you're seeking. Probabilities appear because the magnitude of a space is a way of 'measuring' it -- and thus magnitude is closely related to entropy. Of course, you can follow your nose and find your way beyond mere spaces, and this may lead you to the notion…

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