惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

D
Docker
大猫的无限游戏
大猫的无限游戏
Jina AI
Jina AI
酷 壳 – CoolShell
酷 壳 – CoolShell
博客园 - 司徒正美
美团技术团队
雷峰网
雷峰网
阮一峰的网络日志
阮一峰的网络日志
WordPress大学
WordPress大学
T
Tailwind CSS Blog
U
Unit 42
C
Check Point Blog
S
SegmentFault 最新的问题
Martin Fowler
Martin Fowler
Stack Overflow Blog
Stack Overflow Blog
云风的 BLOG
云风的 BLOG
L
LangChain Blog
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
腾讯CDC
罗磊的独立博客
小众软件
小众软件
Recent Announcements
Recent Announcements
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
D
DataBreaches.Net

math updates on arXiv.org

Coupling-Robust Accuracy in Multiphysics Physics Informed Neural Networks via Kronecker-Preconditioned Optimization Non-normal spectral signatures of instability in neural network training dynamics Optimization of randomized neural networks for transfer operator approximation Selective Ambulance Dispatch Under Contextual Travel-Time Uncertainty LLAMA LIMA: A Living Meta-Analysis on the Effects of Generative AI on Learning Mathematics Neural Flow Operators can Approximate any Operator: Abstract Frameworks and Universal Approximations LLMs as Noisy Channels: A Shannon Perspective on Model Capacity and Scaling Laws On the Stability of Spherical Hellinger-Kantorovich Flows and Their Implications for Differential Privacy Training-Free Looped Transformers Move on Muon : A Hamiltonian probability gradient flow perspective of Muon optimizer Entrywise Error Bounds for Spectral Ranking with Semi-Random Adversaries Asymmetric Scaling Laws from Sparse Features Is Dimensionality a Barrier for Retrieval Models? RA-DCA: A Randomized Active-Set DCA for Directional Stationarity in Max-Structured DC Programs Commutator-Induced Uncertainty in VAEs Weisfeiler-Leman Is Incomplete on Simple Spectrum Graphs, so Canonicalize Them Sparse In-Network Learning via Shortest-Path Backpropagation and Finite-Rate Gating Instance-Optimal Estimation with Multiple LLM Judges on a Budget Entropy Equivalence Testing Expand More, Shrink Less: Shaping Effective-Rank Dynamics for Dense Scaling in Recommendation Any-Dimensional Invariant Universality Operationalizing Individual Fairness via Gradient Descent and Bradley-Terry Models Anytime Training with Schedule-Free Spectral Optimization Diffusion-based Denoising Beats Vanilla Score Matching in Parameter Estimation: A Theoretical Explanation Resilience Characterization of AI-Native Wireless Receivers via Persistent Homology The General Theory of Localization Methods Group-Algebraic Tensors: Provably-optimal Equivariant Learning and Physical Symmetry Discovery General Lower Bounds for Differentially Private Federated Learning with Arbitrary Public-Transcript Interactions PilotWiMAE: Pilot-Native Representation Learning for Wireless Channels Proximal basin hopping: global optimization with guarantees
Double-functorial representation of regular hyperdoctrines
[Submitted on 8 Aug 2025 (v1), last revised 24 Jun 2026 (this ve · 2026-06-25 · via math updates on arXiv.org

Mathematics > Category Theory

arXiv:2508.06637 (math)

[Submitted on 8 Aug 2025 (v1), last revised 24 Jun 2026 (this version, v3)]

View PDF

Abstract:It is well-known that pseudofunctors from bicategories of spans are equivalent to Beck-Chevalley bifibrations, and therefore capture the relationships underlying the adjunctions suitable as semantics for existential quantification. This was further expanded upon by Dawson, Paré and Pronk in the context of double categories. By viewing hyperdoctrines from a double-categorical lens, this paper shows that we can also characterise the Frobënius property: (generalised) regular hyperdoctrines correspond to certain lax symmetric monoidal pseudo double functors from spans to quintets whose monoidal laxators provide companion commuter cells (in the sense of Paré). This facilitates the study of the compositionality of regular hyperdoctrines and hints at a new notion of regular double hyperdoctrine. As an application, we discuss how we can recover a form of graphical regular logic suitable for modelling specifications of systems (e.g., port-plugging systems) that compose operadically.

Submission history

From: José Siqueira [view email]
[v1] Fri, 8 Aug 2025 18:34:36 UTC (63 KB)
[v2] Wed, 24 Sep 2025 20:56:08 UTC (67 KB)
[v3] Wed, 24 Jun 2026 15:57:13 UTC (65 KB)

Current browse context:

math.CT

Bookmark

BibSonomy Reddit

Bibliographic Tools

Bibliographic and Citation Tools

Bibliographic Explorer Toggle

Code, Data, Media

Code, Data and Media Associated with this Article

Demos

Demos

Related Papers

Recommenders and Search Tools

About arXivLabs

arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.