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

MongoDB | Blog
MongoDB | Blog
大猫的无限游戏
大猫的无限游戏
H
Help Net Security
V
Visual Studio Blog
G
Google Developers Blog
Blog — PlanetScale
Blog — PlanetScale
Last Week in AI
Last Week in AI
C
Check Point Blog
D
Docker
M
MIT News - Artificial intelligence
P
Proofpoint News Feed
博客园 - 叶小钗
博客园 - 聂微东
The Cloudflare Blog
云风的 BLOG
云风的 BLOG
Martin Fowler
Martin Fowler
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
酷 壳 – CoolShell
酷 壳 – CoolShell
MyScale Blog
MyScale Blog
WordPress大学
WordPress大学
Engineering at Meta
Engineering at Meta
腾讯CDC
S
SegmentFault 最新的问题
博客园 - 【当耐特】

math.PR updates on arXiv.org

Visibility in the Boolean Model on Harmonic Manifolds Global estimates on the Brenier map Geodesics and Wandering Exponents in Brochette First-Passage Percolation State-dependent inverse-subordinator time changes of regenerative processes: Excursion structure and multiscale occupation-time limits Randomly twisted transfer operators and singular values statistics Generalized Bessel-Dunkl diffusions An almost sure invariance principle for the Takagi-van der Waerden class functions Central limit theorems for high dimensional lattice polytopes: cosmological polytopes Convergence rate estimates for semigroups and heat kernels associated with resistance forms Second-order Poincaré inequalities and localization on the Poisson space Maximum Probability of Independence in Transitive Matroids On global solutions to the semidiscrete stochastic heat equation The Poisson Tail Conjecture for primes in short intervals A Complete Spectral Analysis of the CEV Operator with Applications to Arbitrage Holographic functions and neural networks From Betting to Empirical Bernstein LIL Concentration of General Stochastic Approximation Under Heavy-Tailed Markovian Noise Pointwise Generalization in Deep Neural Networks Bayesian Latent Space Models for Graphs Are Misspecified: Toward Robust Inference via Generalized Posteriors Wasserstein bounds for denoising diffusion probabilistic models via the Föllmer process A note on connections between the Föllmer process and the denoising diffusion probabilistic model Simple Approximation and Derivative Free Inference-Time Scaling for Diffusion Models via Sequential Monte Carlo on Path Measures Diffusion-Based Stochastic Operator Networks for Uncertainty Quantification in Stochastic Partial Differential Equations A Fourier perspective on the learning dynamics of neural networks: from sample complexities to mechanistic insights Propagation of Chaos in Contextual Flow Maps Dimension-Uniform Discretization Analysis of Preconditioned Annealed Langevin Dynamics for Multimodal Gaussian Mixtures $α$-TCAV: A Unified Framework for Testing with Concept Activation Vectors Scaling Laws from Sequential Feature Recovery: A Solvable Hierarchical Model On the Limits of Latent Reuse in Diffusion Models State-of-art minibatches via novel DPP kernels: discretization, wavelets, and rough objectives
Local Universality for Zeros and Critical Points of Monoc...
Yaiza Canzani, Boris Hanin · 2016-10-29 · via math.PR updates on arXiv.org

This paper concerns the asymptotic behavior of zeros and critical points for monochromatic random waves $φ_λ$ of frequency $λ$ on a compact, smooth, Riemannian manifold $(M,g)$ as $λ\rightarrow \infty$. We prove that the measure of integration over the zero set of $φ_λ$ restricted to balls of radius $\approx λ^{-1}$ converges in distribution to the measure of integration over the zero set of a frequency $1$ random wave on $\mathbb R^n$, where $n$ is the dimension of $M$. We also prove convergence of finite moments for the counting measure of the critical points of φλ, again restricted to balls of radius $\approx λ^{-1}$, to the corresponding moments for frequency $1$ random waves. We then patch together these local results to obtain new global variance estimates on the volume of the zero set and numbers of critical points of $φ_λ$ on all of $M.$ Our local results hold under conditions about the structure of geodesics on $M$ that are generic in the space of all metrics on $M$, while our global results hold whenever $(M,g)$ has no conjugate points (e.g is negatively curved).