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相关论文: Strong averaging principle for a class of slow-fas…

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In this paper, we consider $\alpha \in (0,2)$ and establish the strong well-posedness of McKean--Vlasov SDEs driven by an $\alpha$-stable process with a H\"older (Besov) kernel $K \in \mathbf{C}^\beta$, where $\beta > 1-\alpha$. This…

概率论 · 数学 2025-08-19 Zimo Hao

In this paper, we prove pathwise uniqueness for stochastic systems of McKean-Vlasov type with singular drift, even in the measure argument, and uniformly non-degenerate Lipschitz diffusion matrix. Our proof is based on Zvonkin's…

概率论 · 数学 2016-03-04 Paul-Eric Chaudru de Raynal

In this paper, we establish the weak averaging principle for stochastic functional partial differential equations (in short, SFPDEs) with H$\ddot{\text{o}}$lder continuous coefficients and infinite delay by a new generalized coupling…

概率论 · 数学 2025-03-31 Shuaishuai Lu , Xue Yang , Yong Li

This work is devoted to averaging principle of a two-time-scale stochastic partial differential equation on a bounded interval $[0, l]$, where both the fast and slow components are directly perturbed by additive noises. Under some regular…

概率论 · 数学 2018-02-06 Hongbo Fu , Li Wan , Jicheng Liu , Xianming Liu

In this paper, we study averaging principle for a class of McKean-Vlasov stochastic differential equations (SDEs) that contain multiplicative fractional noise with Hurst parameter $H > $ 1/2 and highly oscillatory drift coefficient. Here…

概率论 · 数学 2023-06-06 Bin Pei , Lifang Feng , Min Han

Using a new strategy, we extend the classical Nekhoroshev's estimates to the case of H\"older regular steep near-integrable hamiltonian systems, the stability times being polynomially long in the inverse of the size of the perturbation. We…

动力系统 · 数学 2022-09-05 Santiago Barbieri , Jean-Pierre Marco , Jessica Elisa Massetti

In this paper, using Zvonkin type transform, the large deviation principle is proved for stochastic differential equations with Dini continuous drifts, where the existed methods for large deviation principle are unavailable. The method and…

概率论 · 数学 2018-12-31 Lingyan Cheng , Xing Huang

We investigate three types of averaging principles and the normal deviation for multi-scale stochastic differential equations (in short, SDEs) with polynomial nonlinearity. More specifically, we first demonstrate the strong convergence of…

动力系统 · 数学 2023-08-22 Mengyu Cheng , Zhenxin Liu , Michael Röckner

Averaging principle is an effective method for investigating dynamical systems with highly oscillating components. In this paper, we study three types of averaging principle for stochastic complex Ginzburg-Landau equations. Firstly, we…

动力系统 · 数学 2022-11-22 Mengyu Cheng , Zhenxin Liu , Michael Röckner

We establish the well-posedness for a class of McKean-Vlasov SDEs driven by symmetric $\alpha$-stable L\'{e}vy process ($1/2<\alpha\leq1$), where the drift coefficient is H\"{o}lder continuous in space variable, while the noise coefficient…

概率论 · 数学 2024-01-23 Chang-Song Deng , Xing Huang

In this paper, we consider a kind of fully coupled slow fast motion, in which the slow variable satisfies the non Lipschitz condition. We prove that the stochastic flow of the slow variable exists and moreover, satisfies the large deviation…

概率论 · 数学 2024-09-20 Mingkun Ye , Zuozheng Zhang

We investigate the large population dynamics of a family of stochastic particle systems with three-state cyclic individual behaviour and parameter-dependent transition rates. On short time scales, the dynamics turns out to be approximated…

概率论 · 数学 2022-05-10 Julien Barré , Bastien Fernandez , Grégoire Panel

We study the asymptotic behavior of stochastic hyperbolic parabolic equations with slow and fast time scales. Both the strong and weak convergence in the averaging principe are established, which can be viewed as a functional law of large…

概率论 · 数学 2020-11-12 Michael Röckner , Longjie Xie , Li Yang

We prove a strong law of large numbers for a class of strongly mixing processes. Our result rests on recent advances in understanding of concentration of measure. It is simple to apply and gives finite-sample (as opposed to asymptotic)…

概率论 · 数学 2008-07-30 Aryeh Kontorovich , Anthony Brockwell

In this paper, we show the weak and strong well-posedness of density dependent stochastic differential equations driven by $\alpha$-stable processes with $\alpha \in(1,2)$. The existence part is based on Euler's approximation as…

概率论 · 数学 2021-12-14 Mingyan Wu , Zimo Hao

In this paper we prove strong well-posedness for a system of stochastic differential equations driven by a degenerate diffusion satisfying a weak-type H\"ormander condition, assuming H\"older regularity assumptions on the drift coefficient.…

概率论 · 数学 2022-10-07 Giacomo Lucertini , Stefano Pagliarani , Andrea Pascucci

In this paper, we study a class of multiscale McKean-Vlasov stochastic systems where the entire system depends on the distribution of the fast component. First of all, by the Poisson equation method we prove that the slow component…

概率论 · 数学 2025-09-30 Jie Xiang , Huijie Qiao

In this paper, we investigate stochastic differential equations(SDEs) driven by a class of supercritical $\alpha$-stable process(including the rotational symmetric $\alpha-$stable process) with drift $b$. The weak well-posedness is proved,…

概率论 · 数学 2020-09-17 Guohuan Zhao

We prove the well-posedness of some non-linear stochastic differential equations in the sense of McKean-Vlasov driven by non-degenerate symmetric $\alpha$-stable L\'evy processes with values in $R^d$ under some mild H{\"o}lder regularity…

偏微分方程分析 · 数学 2019-10-15 Noufel Frikha , Valentin Konakov , Stéphane Menozzi

We are concerned about the averaging principle for the stochastic Burgers equation with slow-fast time scale. This slow-fast system is driven by L\'{e}vy processes. Under some appropriate conditions, we show that the slow component of this…

概率论 · 数学 2021-12-14 Hongge Yue , Yong Xu , Ruifang Wang , Zhe Jiao