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We investigate the long-time behavior of solutions to a stochastically forced one-dimensional Navier-Stokes system, describing the motion of a compressible viscous fluid, in the case of linear pressure law. We prove existence of an…

偏微分方程分析 · 数学 2018-02-13 Michele Coti Zelati , Nathan Glatt-Holtz , Konstantina Trivisa

We consider a supercritical Galton-Watson branching process with immigration. It is well known that under suitable conditions on the offspring and immigration distributions, there is a finite, strictly positive limit ${\mathcal{W}}$ for the…

概率论 · 数学 2014-02-06 Weijuan Chu , Wenbo V. Li , Yan-Xia Ren

Following the pivotal work of Sevastyanov, who considered branching processes with homogeneous Poisson immigration, much has been done to understand the behaviour of such processes under different types of branching and immigration…

概率论 · 数学 2025-10-14 Martin Minchev , Maroussia Slavtchova-Bojkova

We study the long-term behavior of weighted multi-type branching processes, focusing on extending classical laws of large numbers and martingale convergence to settings with infinitely many weighted particles, arbitrary type spaces and…

概率论 · 数学 2025-12-09 Denis Villemonais , Nicolas Zalduendo

In this paper, we are concerned with long-time behavior of Euler-Maruyama schemes associated with a range of regime-switching diffusion processes. The key contributions of this paper lie in that existence and uniqueness of numerical…

概率论 · 数学 2014-09-24 Jianhai Bao , Jinghai Shao , Chenggui Yuan

For a class of processes modeling the evolution of a spatially structured population with migration and a logistic local regulation of the reproduction dynamics, we show convergence to an upper invariant measure from a suitable class of…

概率论 · 数学 2011-01-04 M. Hutzenthaler , A. Wakolbinger

We investigate subcritical Galton-Watson branching processes with immigration in a random environment. Using Goldie's implicit renewal theory we show that under general Cram\'er condition the stationary distribution has a power law tail. We…

概率论 · 数学 2020-02-04 Bojan Basrak , Peter Kevei

We study long time behavior of a discrete time weakly interacting particle system, and the corresponding nonlinear Markov process in $\mathbb{R}^d$, described in terms of a general stochastic evolution equation. In a setting where the state…

概率论 · 数学 2014-01-16 Amarjit Budhiraja , Abhishek Pal Majumder

We study supercritical branching processes under the influence of an i.i.d. emigration component. We provide conditions, under which the lifetime of the process is finite respectively has a finite expectation. A new version of the…

概率论 · 数学 2020-08-13 Georg Braun

Let $\{(X_t)_{t\geq 0}, \mathbb{P}_{\delta_x}, x\in E\}$ be a supercritical branching Markov process (which is not necessary symmetric) on a locally compact metric measure space $(E,\mu)$ with spatially dependent local branching mechanism.…

概率论 · 数学 2025-12-12 Haojie Hou , Yan-Xia Ren , Renming Song

Let $\{X_n\}_{n\geq0}$ be a $p$-type ($p\geq2$) supercritical branching process with immigration and mean matrix $M$. Suppose that $M$ is positively regular and $\rho$ is the maximal eigenvalue of $M$ with the corresponding left and right…

概率论 · 数学 2025-08-22 Liuyan Li , Junping Li

Continuous-state branching processes (CSBPs) with immigration (CBIs), stopped on hitting zero, are generalized by allowing the process governing immigration to be any L\'evy process without negative jumps. Unlike the CBIs, these newly…

概率论 · 数学 2022-07-06 Matija Vidmar

The invariant measure is a fundamental object in the theory of Markov processes. In finite dimensions a Markov process is defined by transition rates of the corresponding stochastic matrix. The Markov tree theorem provides an explicit…

概率论 · 数学 2019-10-08 Artur Stephan

We construct a class of discontinuous superprocesses with dependent spatial motion and general branching mechanism. The process arises as the weak limit of critical interacting-branching particle systems where the spatial motions of the…

概率论 · 数学 2008-07-02 Hui He

We consider a Markov chain on $\mathbb{R}^d$ with invariant measure $\mu$. We are interested in the rate of convergence of the empirical measures towards the invariant measure with respect to various dual distances, including in particular…

概率论 · 数学 2022-10-13 Adrian Riekert

This paper is concerned with the approximation to invariant measures for Langevin dynamics of McKean--Vlasov type. Under dissipativity and Lipschitz conditions, we prove that the empirical measures of both the mean-field and…

概率论 · 数学 2024-04-30 Wenjing Cao , Kai Du

This paper proves that, under a monotonicity condition, the invariant probability measure of a McKean--Vlasov process can be approximated by weighted empirical measures of some processes including itself. These processes are described by…

概率论 · 数学 2021-12-30 Kai Du , Yifan Jiang , Jinfeng Li

We consider subcritical branching processes with immigration which evolve under the influence of a random environment and study the tail distribution of life periods of such processes defined as the length of the time interval between the…

概率论 · 数学 2020-02-10 Doudou Li , Vladimir Vatutin , Mei Zhang

We study a class of Piecewise Deterministic Markov Processes with state space Rd x E where E is a finite set. The continuous component evolves according to a smooth vector field that is switched at the jump times of the discrete coordinate.…

In this paper the asymptotic behaviour of a critical 2-type Galton-Watson process with immigration is described when its offspring mean matrix is reducible, in other words, when the process is decomposable. It is proved that, under second…

概率论 · 数学 2023-11-21 Matyas Barczy , Dániel Bezdány , Gyula Pap