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

WordPress大学
WordPress大学
小众软件
小众软件
MongoDB | Blog
MongoDB | Blog
Hugging Face - Blog
Hugging Face - Blog
Jina AI
Jina AI
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
Stack Overflow Blog
Stack Overflow Blog
L
LangChain Blog
大猫的无限游戏
大猫的无限游戏
量子位
A
About on SuperTechFans
G
Google Developers Blog
雷峰网
雷峰网
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
IT之家
IT之家
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
博客园_首页
H
Hackread – Cybersecurity News, Data Breaches, AI and More
Vercel News
Vercel News
V
Visual Studio Blog
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
博客园 - 聂微东
U
Unit 42
Apple Machine Learning Research
Apple Machine Learning Research

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
Polytopes of alternating sign matrices with dihedral symm...
[Submitted on 20 Feb 2026 (v1), last revised 18 Aug 2026 (this v · 2026-02-21 · via math updates on arXiv.org

View PDF HTML (experimental)

Abstract:We study the convex hulls of $n \times n$ alternating sign matrices invariant under subgroups of the dihedral group of the square. For each non-trivial symmetry class, the symmetry determines the full matrix affinely from a smaller set of entries, allowing us to study the corresponding convex hull in a lower-dimensional space. For the vertical, vertical$\unicode{x2013}$horizontal, half-turn, diagonal, diagonal$\unicode{x2013}$antidiagonal, and total symmetry classes, we give polynomial-size linear inequality descriptions, determine the dimensions, identify all facets, and give exact facet counts. For the quarter-turn class, the natural fixed-point relaxation is not integral. We obtain the exact hull by adding parity-type Chvátal$\unicode{x2013}$Gomory inequalities, determine its dimension, and construct a family of facets indexed by Ferrers diagrams of Catalan-number cardinality, while the complete facet structure remains open. The formulations yield strongly polynomial-time algorithms for linear optimization over every non-empty symmetry class. We also show that the full-matrix polytopes of all classes except the quarter-turn class have the integer Carathéodory property and hence the integer decomposition property.

Submission history

From: Péter Madarasi [view email]
[v1] Fri, 20 Feb 2026 18:48:42 UTC (72 KB)
[v2] Tue, 18 Aug 2026 19:32:27 UTC (104 KB)