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Double categories of profunctors (2504.11099v3)

Published 15 Apr 2025 in math.CT

Abstract: We characterize virtual double categories of enriched categories, functors, and profunctors by introducing a new notion of double-categorical colimits. Our characterization is strict in the sense that it is up to equivalence between virtual double categories and, at the level of objects, up to isomorphism of enriched categories. Throughout the paper, we treat enrichment in a unital virtual double category rather than in a bicategory or a monoidal category, and, for consistency and better visualization of pasting diagrams, we adopt augmented virtual double categories as a fundamental language for double-categorical concepts.

Summary

Discussion on Virtual Double Categories of Enriched Categories and Profunctors

The paper "Double Categories of Profunctors" by Yuto Kawase presents an advanced analysis of virtual double categories (VDCs) of enriched categories and profunctors, exploring their characterizations through a novel concept known as versatile colimits. The framework of the paper revolves around the use of augmented virtual double categories (AVDCs) as the linguistic formalism which generalizes and refines former developments in proarrow equipment theory.

In the landscape of category theory, profunctors have played a significant role as generalizations of morphisms. Their characterization and application have historically been driven by proarrow machines, as introduced in classical works. However, the narrative changes by incorporating virtual double categories, proposing them as modular and expressive edifices for representing profunctors more consistently and visually.

A principal aim of the work is to crisply delineate virtual double categories arising from enriched profunctors, drawing from the enrichment within a VDC context rather than confined to a bicategory or a monoidal category. Through this setup, the author introduces a framework to depict enrichment for arbitrary virtual double categories, expanding traditional contexts which primarily fixate around monoidal or bicategorical structures.

The methodology involves defining the versatile colimits and examining their implications as systemic refinements over conventional approaches to colimit cocompleteness in ordinary category theory. For instance, the author shines a light on the notion of versatile collages that generalize Street's collage constructions for profunctors. One of the bold claims is that profunctor categories like $\Prof[X]$, where XX represents some VDC, are co-completions under these versatile colimits.

In an innovative move, the paper proposes that one can characterize $\Prof[X]$ through a cocompletion lens, portraying them as the universal categories of enriched profunctors—providing they satisfy conditions like having all versatile collages and each object being expressible as such from collage-atomic objects. This perspective offers a strict equivalence, up to isomorphism and equivalence on the level of objects, which appears novel even in semiclassical settings of enrichment in a bicategory.

Theoretical implications laid out by Kawase entail a new understanding of versatile colimits, which have applications in reconstructing familiar categorical constructs like slices or colimits in double categories. Practically, these theorems propose modular, structured frameworks for defining universal properties that extend to higher-categorical settings.

Looking forward, the work speculates on the burgeoning field of artificial intelligence, suggesting these double-categorical abstractions could advance how categorical semantics inform interconnected, distributed systems of AI learning models or multi-agent systems. The Bridging of formal mathematical theory with computational intelligence reveals a promising avenue: while the formalism of versatile colimits and VDC enrichments is theoretically intensive, it echoes the need for robust, consistent, and modular design patterns in AI architectures.

In essence, the paper is firmly embedded in categorical mathematics, with the potential to influence computational theory. The results hold promise across mathematical and practical AI territories, advancing how networking structures like categories and profunctors interface within theoretical and applied contexts.

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