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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,…

Algebraic Topology · Mathematics 2021-11-10 Tom Leinster , Michael Shulman

Magnitude is a real-valued invariant of metric spaces, analogous to the Euler characteristic of topological spaces and the cardinality of sets. The definition of magnitude is a special case of a general categorical definition that clarifies…

Metric Geometry · Mathematics 2015-03-17 Tom Leinster

We prove that the magnitude (co)homology of an enriched category can, under some technical assumptions, be described in terms of derived functors between certain abelian categories. We show how this statement is specified for the cases of…

K-Theory and Homology · Mathematics 2024-05-21 Yasuhiko Asao , Sergei O. Ivanov

Magnitude is a numerical isometric invariant of metric spaces, whose definition arises from a precise analogy between categories and metric spaces. Despite this exotic provenance, magnitude turns out to encode many invariants from integral…

Metric Geometry · Mathematics 2017-09-05 Tom Leinster , Mark W. Meckes

Magnitude homology is an invariant of enriched categories which generalizes ordinary categorical homology -- the homology of the classifying space of a small category. The classifying space can also be generalized in a different direction:…

Algebraic Topology · Mathematics 2025-03-27 Emily Roff

Magnitude, obtained as a special case of Euler characteristic of enriched category, represents a sense of the size of metric spaces and is related to classical notions such as cardinality, dimension, and volume. While the studies have…

Machine Learning · Statistics 2025-09-16 Byungchang So

The Euler characteristic is an invariant of a topological space that in a precise sense captures its canonical notion of size, akin to the cardinality of a set. The Euler characteristic is closely related to the homology of a space, as it…

Algebraic Topology · Mathematics 2022-06-22 Nina Otter

Let T be a tilting object in a triangulated category equivalent to the bounded derived category of a hereditary abelian category with finite dimensional homomorphism spaces and split idempotents. This text investigates the strong global…

Representation Theory · Mathematics 2017-03-17 Edson Ribeiro Alvares , Patrick Le Meur , Eduardo N. Marcos

The magnitude of finite categories is a generalization of the Euler characteristic. It is defined using the coarse incidence algebra of rational-valued functions on the given finite category, and a distinguished element in this algebra: the…

Category Theory · Mathematics 2023-12-14 Stephanie Chen , Juan Pablo Vigneaux

In this article, we give a framework for studying the Euler characteristic and its categorification of objects across several areas of geometry, topology and combinatorics. That is, the magnitude theory of filtered sets enriched categories.…

Algebraic Topology · Mathematics 2023-07-26 Yasuhiko Asao

Magnitude is a numerical invariant of metric spaces and graphs, analogous, in a precise sense, to Euler characteristic. Magnitude homology is an algebraic invariant constructed to categorify magnitude. Among the important features of the…

Combinatorics · Mathematics 2024-04-11 Emily Roff

Magnitude is a canonical invariant of finite metric spaces which has its origins in category theory; it is analogous to cardinality of finite sets. Here, by approximating certain compact subsets of Euclidean space with finite subsets, the…

Metric Geometry · Mathematics 2013-02-14 Tom Leinster , Simon Willerton

The main result of this article is a geometric interpretation of magnitude, a real-valued invariant of metric spaces. We introduce a Euclidean embedding of a (suitable) finite metric space $X$ such that the magnitude of $X$ can be expressed…

Metric Geometry · Mathematics 2025-10-22 Karel Devriendt

Magnitude homology is an emerging framework that captures the intrinsic topological and geometric features of metric spaces, demonstrating significant potential for topoplogical data analysis and geometric data analysis. This work…

Algebraic Topology · Mathematics 2026-01-08 Wanying Bi , Hongsong Feng , Jingyan Li , Jie Wu

We associate a rational number $\chi(\mathcal{A})$ to every category $\mathcal{A}$ whose object and morphism sets are finite. We show that the assignment $\chi$ is additive under disjoint union and it preserves products. Hence we consider…

Category Theory · Mathematics 2024-06-06 Mustafa Akkaya , Özgün Ünlü

The magnitude for algebras is a generalization of the Euler characteristic. We investigate the magnitude for Nakayama algebras. Using Ringel's resolution quiver, the existence and the value of rational magnitude is given. As a result, we…

Representation Theory · Mathematics 2023-03-14 Dawei Shen , Yaru Wu

Magnitude homology was introduced by Hepworth and Willerton in the case of graphs, and was later extended by Leinster and Shulman to metric spaces and enriched categories. Here we introduce the dual theory, magnitude cohomology, which we…

Algebraic Topology · Mathematics 2022-04-25 Richard Hepworth

Magnitude is a numerical invariant of finite metric spaces, recently introduced by T. Leinster, which is analogous in precise senses to the cardinality of finite sets or the Euler characteristic of topological spaces. It has been extended…

Metric Geometry · Mathematics 2013-08-27 Mark W. Meckes

The purpose of this article is twofold. Firstly, we use the next-token probabilities given by a language model to explicitly define a category of texts in natural language enriched over the unit interval, in the sense of Bradley, Terilla,…

Category Theory · Mathematics 2025-11-26 Tai-Danae Bradley , Juan Pablo Vigneaux

Magnitude is an isometric invariant for metric spaces that was introduced by Leinster around 2010, and is currently the object of intense research, since it has been shown to encode many known invariants of metric spaces. In recent work,…

Algebraic Topology · Mathematics 2026-03-03 Miguel O'Malley , Sara Kalisnik , Nina Otter
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