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Iterated magnitude homology

Emily Roff

TL;DR

This work develops iterated magnitude homology to capture higher-order enrichment structures in categories, linking magnitude homology to bicategorical classifying spaces via the double magnitude nerve. It proves an Eilenberg–Zilber-type theorem and Künneth formulas for magnitude chain complexes, enabling computations for product and metric-space settings. For strict 2-categories, the iterated theory recovers the classical homology of the classifying space, and the framework is applied to enriched groups (strict 2-groups, partially ordered groups, and normed groups) to extract both topological and geometric invariants. The results illuminate how higher-order enrichment governs homological behavior and extend naturally to strict n-categories, offering a unified tool for probing algebraic and geometric structure in enriched categorical contexts.

Abstract

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: it extends from categories to bicategories as the geometric realization of the geometric nerve. This paper introduces a hybrid of the two ideas: an iterated magnitude homology theory for categories with a second- or higher-order enrichment. This encompasses, for example, groups equipped with extra structure such as a partial ordering or a bi-invariant metric. In the case of a strict 2-category, iterated magnitude homology recovers the homology of the classifying space; we investigate its content and behaviour when interpreted for partially ordered groups, normed groups, and strict $n$-categories for $n > 2$.

Iterated magnitude homology

TL;DR

This work develops iterated magnitude homology to capture higher-order enrichment structures in categories, linking magnitude homology to bicategorical classifying spaces via the double magnitude nerve. It proves an Eilenberg–Zilber-type theorem and Künneth formulas for magnitude chain complexes, enabling computations for product and metric-space settings. For strict 2-categories, the iterated theory recovers the classical homology of the classifying space, and the framework is applied to enriched groups (strict 2-groups, partially ordered groups, and normed groups) to extract both topological and geometric invariants. The results illuminate how higher-order enrichment governs homological behavior and extend naturally to strict n-categories, offering a unified tool for probing algebraic and geometric structure in enriched categorical contexts.

Abstract

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: it extends from categories to bicategories as the geometric realization of the geometric nerve. This paper introduces a hybrid of the two ideas: an iterated magnitude homology theory for categories with a second- or higher-order enrichment. This encompasses, for example, groups equipped with extra structure such as a partial ordering or a bi-invariant metric. In the case of a strict 2-category, iterated magnitude homology recovers the homology of the classifying space; we investigate its content and behaviour when interpreted for partially ordered groups, normed groups, and strict -categories for .
Paper Structure (11 sections, 13 theorems, 39 equations)

This paper contains 11 sections, 13 theorems, 39 equations.

Key Result

Lemma 3.4

Suppose $\mathbf{X}$ is a $\mathcal{V}$-category such that $\mathbf{X}(x,x) \cong I$ for every $x \in \mathbf{X}$. Then the normalized magnitude complex of $\mathbf{X}$ is given in degree $n$ by where the sum is over tuples $x_0, \ldots x_n$ such that $x_i \neq x_{i+1}$ for all $i$.

Theorems & Definitions (36)

  • Example 2.1
  • Example 2.2
  • Example 2.3
  • Definition 3.1
  • Definition 3.2
  • Example 3.3
  • Lemma 3.4
  • proof
  • Example 3.5
  • Theorem 4.1: Bisimplicial Eilenberg--Zilber theorem
  • ...and 26 more