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

T
Tailwind CSS Blog
博客园 - Franky
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
Y
Y Combinator Blog
Hugging Face - Blog
Hugging Face - Blog
博客园 - 聂微东
L
LangChain Blog
博客园_首页
Recent Announcements
Recent Announcements
月光博客
月光博客
酷 壳 – CoolShell
酷 壳 – CoolShell
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
H
Hackread – Cybersecurity News, Data Breaches, AI and More
爱范儿
爱范儿
博客园 - 叶小钗
博客园 - 【当耐特】
The Cloudflare Blog
J
Java Code Geeks
G
Google Developers Blog
云风的 BLOG
云风的 BLOG
Blog — PlanetScale
Blog — PlanetScale
博客园 - 司徒正美
aimingoo的专栏
aimingoo的专栏
A
About on SuperTechFans

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 Symmetry Method for Key Vanishing Lemmas and Optimal $2...
[Submitted on 17 Jun 2026] · 2026-06-18 · via math updates on arXiv.org

View PDF HTML (experimental)

Abstract:This manuscript reports on an ongoing project. We develop a new symmetry-based method for establishing vanishing results for negatively twisted invariant 2-jet differentials, both on generic surfaces in $\mathbb{P}^3$ and on complements of generic plane curves. The approach improves upon the recent work of Hou--Huynh--Merker--Xie by using a two-term perturbation of Fermat-type equations that is invariant under an involution exchanging two coordinates. The induced linear action on the space of invariant 2-jet differentials, combined with an elementary eigenvector argument from the representation theory of $\mathbb{Z}/2\mathbb{Z}$, generates numerous additional linear constraints. This transforms the previously intractable systems into highly overdetermined ones, which we solve with a C++ implementation incorporating parallelization and modular arithmetic.
Our ultimate goal is to prove that a very generic surface in $\mathbb{P}^3$ of degree $d \geqslant 15$ is Kobayashi hyperbolic, and that the complement of a generic curve in $\mathbb{P}^2$ of degree $d \geqslant 11$ is hyperbolic. As a concrete step, we prove here that a very generic surface in $\mathbb{P}^3$ of degree $d \geqslant 16$ is Kobayashi hyperbolic. The method developed in this paper also lays the theoretical foundation for the vanishing results needed to reach the optimal bounds. Since many colleagues have asked to see the new symmetry method, we are making this manuscript available now. The C++ code for the remaining cases $d=15$ and $d=11$ is already written and the computations are underway; we expect to complete them in the near future.

Submission history

From: Song-Yan Xie [view email]
[v1] Wed, 17 Jun 2026 14:58:14 UTC (41 KB)