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

月光博客
月光博客
Apple Machine Learning Research
Apple Machine Learning Research
IT之家
IT之家
阮一峰的网络日志
阮一峰的网络日志
雷峰网
雷峰网
S
SegmentFault 最新的问题
量子位
有赞技术团队
有赞技术团队
V
V2EX
宝玉的分享
宝玉的分享
Hugging Face - Blog
Hugging Face - Blog
B
Blog
H
Hackread – Cybersecurity News, Data Breaches, AI and More
Jina AI
Jina AI
C
Check Point Blog
G
Google Developers Blog
博客园 - 叶小钗
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
T
Tailwind CSS Blog
B
Blog RSS Feed
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
酷 壳 – CoolShell
酷 壳 – CoolShell
U
Unit 42

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
A Complete Classification of 2-Linear Neighborhood Complexes
[Submitted on 2 Jun 2026 (v1), last revised 2 Aug 2026 (this ver · 2026-06-02 · via math updates on arXiv.org

View PDF HTML (experimental)

Abstract:Let $G$ be a nonempty finite simple graph. We study when the Stanley-Reisner ideal of its neighborhood complex has a $2$-linear resolution. Combining Fröberg's theorem with the classical hypertree criterion, we obtain the following equivalent description in graph terms: $G$ is bipartite, its indexed open neighborhoods are Helly, and every induced cycle of length at least eight has a filling from each color class. This class properly contains the chordal bipartite graphs without isolated vertices. Hochster's formula gives all squarefree multigraded Betti numbers, while face counts determine the complete graded Betti table. If $G$ has $n$ vertices and $c$ connected components, then its Stanley-Reisner ring has terminal Betti number $2c-1$, projective dimension $n-1$, and depth one. We also determine the multiplicity and the initially Cohen-Macaulay and Cohen-Macaulay cases. A second formula separates degree data from overlaps caused by repeated common neighbors and yields closed expressions for bipartite graphs without $K_{2,3}$, cactus graphs, pseudoforests, and forests. For square cactus graphs, the Betti table recovers every degree multiplicity at least three; for forests, it recovers the complete degree sequence. Finally, the dominance complex has a $2$-linear Stanley-Reisner ideal precisely for nontrivial stars.

Submission history

From: Mohammed Namiq [view email]
[v1] Tue, 2 Jun 2026 12:43:18 UTC (13 KB)
[v2] Sun, 2 Aug 2026 08:34:36 UTC (21 KB)