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

酷 壳 – CoolShell
酷 壳 – CoolShell
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
T
Tailwind CSS Blog
有赞技术团队
有赞技术团队
爱范儿
爱范儿
Engineering at Meta
Engineering at Meta
J
Java Code Geeks
雷峰网
雷峰网
WordPress大学
WordPress大学
L
LangChain Blog
D
DataBreaches.Net
The GitHub Blog
The GitHub Blog
博客园 - 三生石上(FineUI控件)
Microsoft Security Blog
Microsoft Security Blog
P
Proofpoint News Feed
腾讯CDC
GbyAI
GbyAI
罗磊的独立博客
Blog — PlanetScale
Blog — PlanetScale
月光博客
月光博客
F
Fortinet All Blogs
Y
Y Combinator Blog
V
V2EX
A
About on SuperTechFans

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
Phase transition in a double branching annihilating rando...
Attila László Nagy · 2016-05-27 · via math.PR updates on arXiv.org

This paper investigates the long-time behavior of double branching annihilating random walkers with nearest-neighbor dependent rates. The system consists of even number of particles which can execute nearest-neighbor random walk and they can as well give birth in a parity conserving manner to two other particles with rates $1$ and $b$, respectively, until they meet. Upon meeting, each of the adjacent particles can branch with rate $p\cdot b$ while it can annihilate, i.e. hop on, the other particle with rate $p$ for some $0< p\leq 1$. This process first appeared in the article by D. ben Avraham, F. Leyvraz and S. Redner (Propagation and extinction in branching annihilating random walks, Phys. Rev. E 50(3), 1994) and can be considered as the extension of Sudbury's model (The branching annihilating process: an interacting particle system, Ann. Probab., 18(2), 1990). We prove that in some region of the parameters $(p,b)$, the process survives with positive probability. Combining with Sudbury's extinction result it shows a phase transition phenomenon for this model. In some sense our result also shows the sharpness of the assumptions of the article by M. Balázs and A. L. Nagy (Dependent double branching annihilating random walk, Electron. J. Probab., 20(84), 2015). We use similar arguments that was developed by M. Bramson and L. Gray in their article titled "The survival of branching annihilating random walk" (Z. Wahrsch. Verw. Gebiete, 68(4), 1985).