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

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
MyScale Blog
MyScale Blog
U
Unit 42
M
MIT News - Artificial intelligence
小众软件
小众软件
P
Proofpoint News Feed
雷峰网
雷峰网
L
LangChain Blog
S
SegmentFault 最新的问题
腾讯CDC
F
Fortinet All Blogs
A
About on SuperTechFans
WordPress大学
WordPress大学
Vercel News
Vercel News
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
G
Google Developers Blog
大猫的无限游戏
大猫的无限游戏
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
D
Docker
N
Netflix TechBlog - Medium
Apple Machine Learning Research
Apple Machine Learning Research
Recent Announcements
Recent Announcements
D
DataBreaches.Net
Stack Overflow Blog
Stack Overflow Blog

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
Free-energy variations for determinantal 2D plasmas with ...
[Submitted on 2 Oct 2025 (v1), last revised 30 Jul 2026 (this ve · 2025-10-02 · via math updates on arXiv.org

View PDF

Abstract:We study the Gibbs equilibrium of a classical 2D Coulomb gas in the determinantal case $\beta$ = 2. The external potential is the sum of a quadratic term and the potential generated by individual charges pinned in several extended groups. This leads to an equilibrium measure (droplet) with flat density and macroscopic holes. We consider ''correlation energy'' (free energy minus its mean-field approximation) expansions, for large particle number \textit{N}. Under the assumptions that the holes are sufficiently small, separated, and far from the droplet's outer boundary, we prove that (i) the correlation energy up to order 1 is independent of the holes' locations and orientations, and (ii) the difference between the correlation energies of systems differing by their number of holes essentially consists of ``topological'' \textit{O}(log\textit{N}) and \textit{O}(1) terms.

Submission history

From: Nicolas Rougerie [view email] [via CCSD proxy]
[v1] Thu, 2 Oct 2025 07:31:59 UTC (29 KB)
[v2] Tue, 16 Dec 2025 10:23:52 UTC (31 KB)
[v3] Thu, 30 Jul 2026 16:53:23 UTC (32 KB)