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

IT之家
IT之家
U
Unit 42
大猫的无限游戏
大猫的无限游戏
H
Help Net Security
G
Google Developers Blog
Recent Announcements
Recent Announcements
B
Blog RSS Feed
罗磊的独立博客
博客园 - Franky
J
Java Code Geeks
S
SegmentFault 最新的问题
D
DataBreaches.Net
C
Check Point Blog
Blog — PlanetScale
Blog — PlanetScale
T
The Blog of Author Tim Ferriss
有赞技术团队
有赞技术团队
腾讯CDC
博客园_首页
美团技术团队
V
Visual Studio Blog
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
GbyAI
GbyAI
The Cloudflare Blog
aimingoo的专栏
aimingoo的专栏

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
$\mathrm{W}^*$-algebraic Integration Theory
[Submitted on 25 Jun 2026] · 2026-06-26 · via math updates on arXiv.org

View PDF HTML (experimental)

Abstract:Given a pair of $\mathrm{W}^*$-algebras $(\mathcal{M}_\mathcal{S},\mathcal{M}_\mathcal{R})$ with $(\mathcal{M}_\mathcal{S})_*$ separable, a measurable space $(\Sigma, \mathcal{F})$ and a POVM $\mathsf{E}: \mathcal{F} \to \mathcal{E}(\mathcal{M}_\mathcal{R})$, the integral of a function $f: \Sigma \to \mathcal{M}_\mathcal{S}$ is defined as an element of the spatial tensor product $\int f \otimes d\mathsf{E} \in \mathcal{M}_\mathcal{S} \bar{\otimes} \mathcal{M}_\mathcal{R}$. The space $B_b(\Sigma,\mathcal{F},\mathcal{M}_\mathcal{S})$ of uniformly bounded ultraweakly measurable functions is the universal domain of integration; once $\mathsf{E}$ is fixed it refines to the quotient $L^\infty_\mathsf{E}(\Sigma,\mathcal{M}_\mathcal{S}) = B_b(\Sigma,\mathcal{F},\mathcal{M}_\mathcal{S})/\mathcal{N}_\mathsf{E}$ by $\mathsf{E}$-null functions. When $(\mathcal{M}_\mathcal{R})_*$ is also separable, $L^\infty_\mathsf{E}(\Sigma,\mathcal{M}_\mathcal{S}) \cong \mathcal{M}_\mathcal{S} \bar{\otimes} L^\infty_\mathsf{E}(\Sigma)$ is a $\mathrm{W}^*$-algebra. The integration map is a faithful normal unital completely positive (CP) map, a $*$-homomorphism for PVMs and an isometry for localizable POVMs. It can be identified with the spatial tensor product $\boldsymbol{1}_{\mathcal{M}_\mathcal{S}} \hat{\otimes} \Phi_\mathsf{E}$ where $\Phi_\mathsf{E}: L^\infty_\mathsf{E}(\Sigma) \to \mathcal{M}_\mathcal{R}$ is the faithful normal positive map corresponding to $\mathsf{E}$. Complete positivity of integration maps is derived from Stinespring factorization through Naimark dilation. We establish an operator-valued Leibniz rule and Fubini theorem.

Submission history

From: Jan Glowacki Mr. [view email]
[v1] Thu, 25 Jun 2026 17:59:24 UTC (44 KB)