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

J
Java Code Geeks
Engineering at Meta
Engineering at Meta
GbyAI
GbyAI
MongoDB | Blog
MongoDB | Blog
Blog — PlanetScale
Blog — PlanetScale
腾讯CDC
U
Unit 42
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
Apple Machine Learning Research
Apple Machine Learning Research
M
MIT News - Artificial intelligence
人人都是产品经理
人人都是产品经理
Hugging Face - Blog
Hugging Face - Blog
MyScale Blog
MyScale Blog
小众软件
小众软件
博客园 - 三生石上(FineUI控件)
N
Netflix TechBlog - Medium
阮一峰的网络日志
阮一峰的网络日志
博客园 - Franky
Recent Announcements
Recent Announcements
A
About on SuperTechFans
Stack Overflow Blog
Stack Overflow Blog
The GitHub Blog
The GitHub Blog
D
Docker
H
Hackread – Cybersecurity News, Data Breaches, AI and More

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
Compact convex sets and bases--classical and noncommutative
[Submitted on 1 Jun 2026] · 2026-06-02 · via math updates on arXiv.org

View PDF HTML (experimental)

Abstract:In the first part of our paper we give an abstract characterization of matrix convex sets, and compact matrix convex sets. We also extend the real case of this for classical sets (due to Marshall Stone and others) to the complex case. Our approach is in some part via a universal Banach space (resp.\ operator space $X_K$ of an abstract compact convex set (resp.\ matrix convex set) $K$. This turns out to be a concrete construction of the base norm space (resp.\ nc base norm space) with base $K$, together with a natural TVS topology. Noncommutative (nc for short) base norm spaces, recently developed by the first author and Hay, are an important class of operator spaces which include duals and preduals of unital $C^*$-algebras and von Neumann algebras, and operator systems, where the `base' is exactly the noncommutative convex set of (matrix) states on these. In the later parts of the paper we give many applications, mostly to base norm spaces (classical and noncommutative). Any such characterization will correspond by duality to a new characterization of operator systems, or in the classical case, of function systems) We also refine some results from a recent paper of the first author concerning regularity of convex sets (classical and noncommutative). We give several interesting characterizations of base norm spaces (classical and noncommutative). For example, (complex) nc dual base norm spaces are the matrix ordered LCTVS's $V$ such that $V$ (at level 1) has a linear base which is compact.

Submission history

From: David P. Blecher [view email]
[v1] Mon, 1 Jun 2026 17:34:28 UTC (30 KB)