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相关论文: U-statistics of Ornstein-Uhlenbeck branching parti…

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In this paper we consider a branching particle system consisting of particles moving according to the Ornstein-Uhlenbeck process in R^d and undergoing a binary, supercritical branching with a constant rate \lambda>0. This system is known to…

概率论 · 数学 2014-07-10 Radosław Adamczak , Piotr Miłoś

In this paper we consider a branching particle system consisting of particles moving according to the Ornstein-Uhlenbeck process in $\Rd$ and undergoing a binary, supercritical branching with a constant rate $\lambda>0$. This system is…

概率论 · 数学 2011-11-23 Radosław Adamczak , Piotr Miłoś

Consider a branching system with particles moving according to an Ornstein-Uhlenbeck process with drift $\mu>0$ and branching according to a law in the domain of attraction of the $(1+\beta)$-stable distribution. The mean of the branching…

概率论 · 数学 2018-03-23 Rafał Marks , Piotr Miłoś

In this paper we consider a superprocess being a measure-valued diffusion corresponding to the equation $u_{t}=Lu+\alpha u-\beta u^{2}$, where $L$ is the infinitesimal operator of the \emph{Ornstein-Uhlenbeck process} and…

概率论 · 数学 2012-04-02 Piotr Miłoś

In this paper, we study the asymptotic behavior of a supercritical $(\xi,\psi)$-superprocess $(X_t)_{t\geq 0}$ whose underlying spatial motion $\xi$ is an Ornstein-Uhlenbeck process on $\mathbb R^d$ with generator $L =…

概率论 · 数学 2019-09-11 Yan-Xia Ren , Renming Song , Zhenyao Sun , Jianjie Zhao

A general class of non-Markov, supercritical Gaussian branching particle systems is introduced and its long-time asymptotics is studied. Both weak and strong laws of large numbers are developed with the limit object being characterized in…

概率论 · 数学 2018-07-30 Michael A. Kouritzin , Khoa Lê , Deniz Sezer

We prove a law of large numbers and a functional central limit theorem for the empirical density of a Marcus-Lushnikov model. The limiting density turns out to be the solution of a Smoluchowski equation, and the fluctuations around this…

概率论 · 数学 2026-03-30 Julian Amorim , Arturo Arellano , Milton Jara

In this paper we are concerned with a family of $N$-urn branching processes, where some particles are put into $N$ urns initially and then each particle gives birth to several new particles in some urn when dies. This model includes the…

概率论 · 数学 2022-08-09 Xiaofeng Xue

An $N$-particle system with stochastic interactions is considered. Interactions are driven by a Brownian noise term and total energy conservation is imposed. The evolution of the system, in velocity space, is a diffusion on a…

数学物理 · 物理学 2013-08-16 Bruno Vieira Ribeiro , Yves Elskens

In this paper, we establish a central limit theorem for a large class of general supercritical superprocesses with spatially dependent branching mechanisms satisfying a second moment condition. This central limit theorem generalizes and…

概率论 · 数学 2014-09-22 Yan-Xia Ren , Renming Song , Rui Zhang

Growth-fragmentation processes describe systems of particles in which each particle may grow larger or smaller, and divide into smaller ones as time proceeds. Unlike previous studies, which have focused mainly on the self-similar case, we…

概率论 · 数学 2020-02-05 Quan Shi

A $d$-dimensional branching diffusion, $Z$, is investigated, where the linear attraction or repulsion between particles is competing with an Ornstein-Uhlenbeck drift, with parameter $b$ (we take $b>0$ for inward O-U and $b<0$ for outward…

概率论 · 数学 2016-10-10 Janos Englander , Liang Zhang

The Ornstein-Uhlenbeck process is interpreted as Brownian motion in a harmonic potential. This Gaussian Markov process has a bounded variance and admits a stationary probability distribution, in contrast to the standard Brownian motion. It…

We prove a law of large numbers and a central limit theorem for a tagged particle in a symmetric simple exclusion process in the one-dimensional lattice with variable diffusion coefficient. The scaling limits are obtained from a similar…

统计力学 · 物理学 2009-04-24 Milton Jara , Patricia Goncalves

We study the Dyson-Ornstein-Uhlenbeck diffusion process, an evolving gas of interacting particles. Its invariant law is the beta Hermite ensemble of random matrix theory, a non-product log-concave distribution. We explore the convergence to…

概率论 · 数学 2023-01-16 Jeanne Boursier , Djalil Chafaï , Cyril Labbé

We establish central limit theorems for a large class of supercritical branching Markov processes in infinite dimension with spatially dependent and non-necessarily local branching mechanisms. This result relies on a fourth moment…

概率论 · 数学 2025-01-31 Bertrand Cloez , Nicolás Zalduendo

In this paper, we are concerned with a class of conservative systems including asymmetric exclusion processes and zero-range processes as examples, where some particles are initially placed on $N$ positions. A particle jumps from a position…

概率论 · 数学 2024-01-24 Xiaofeng Xue

In this paper, we study the asymptotic behavior of a fully-coupled slow-fast McKean-Vlasov stochastic system. Using the non-linear Poisson equation on Wasserstein space, we first establish the strong convergence in the averaging principle…

概率论 · 数学 2022-07-14 Yun Li , Longjie Xie

We consider a system of $N$ particles on the real line that evolves through iteration of the following steps: 1) every particle splits into two, 2) each particle jumps according to a prescribed displacement distribution supported on the…

概率论 · 数学 2015-03-24 Jean Bérard , Pascal Maillard

This paper studies one-dimensional Ornstein-Uhlenbeck processes, with the distinguishing feature that they are reflected on a single boundary (put at level 0) or two boundaries (put at levels 0 and d>0). In the literature they are referred…

概率论 · 数学 2014-07-03 Gang Huang , Michel Mandjes , Peter Spreij
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