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相关论文: A note on L\'evy-driven McKean-Vlasov SDEs under m…

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As the limit equations of mean-field particle systems perturbed by common environmental noise, the McKean-Vlasov stochastic differential equations with common noise have received a lot of attention. Moreover, past dependence is an…

概率论 · 数学 2025-02-18 Xing Chen , Xiaoyue Li , Chenggui Yuan

The well-posedness and regularity estimates in initial distributions are derived for singular McKean-Vlasov SDEs, where the drift contains a locally standard integrable term and a superlinear term in the spatial variable, and is Lipchitz…

概率论 · 数学 2021-10-19 Panpan Ren

In this paper we study general nonlinear stochastic differential equations, where the usual Brownian motion is replaced by a L\'evy process. We also suppose that the coefficient multiplying the increments of this process is merely Lipschitz…

概率论 · 数学 2007-07-19 Benjamin Jourdain , Sylvie Méléard , Wojbor Woyczynski

We study McKean--Vlasov Stochastic Differential Equations (MV-SDEs) whose drift and diffusion coefficients are of superlinear growth in \textit{all} their variables thus also superlinear in the measure component (the meaning is specified in…

概率论 · 数学 2025-10-21 Simran Soni , Neelima , Chaman Kumar , Goncalo dos Reis

This paper studies the weak convergence order of the stochastic theta method for stochastic differential equations (SDEs) driven by time-changed L\'{e}vy noise under global Lipschitz and linear growth conditions. In contrast to classical…

数值分析 · 数学 2026-03-31 Ziheng Chen , Jiao Liu , Meng Cai

This paper focuses on the invariant measure of McKean-Vlasov (MV) stochastic differential equations (SDEs) with common noise (wCN) whose coefficients depend on both the state and the measure. Using the existence of the unique solution of…

概率论 · 数学 2025-09-23 Xing Chen , Xiaoyue Li , Chenggui Yuan

In this paper, by utilizing Wang's Harnack inequality with power and the Banach fixed point theorem, the weak well-posedness for McKean-Vlasov SDEs with integrable drift is investigated. In addition, using the decoupled method, some…

概率论 · 数学 2021-10-19 Xing Huang , Shen Wang , Fen-Fen Yang

By using the weak convergence method, we establish the large and moderate deviation principles for the multivalued McKean-Vlasov SDEs with non-Lipschitz coefficients driven by L\'{e}vy noise in this paper. The Bihari's inequality is used to…

概率论 · 数学 2025-12-25 Lingyan Cheng , Caihong Gu , Wei Liu , Fengwu Zhu

In this paper, we study a two-species model in the form of a coupled system of nonlinear stochastic differential equations (SDEs) that arises from a variety of applications such as aggregation of biological cells and pedestrian movements.…

偏微分方程分析 · 数学 2018-10-03 Manh Hong Duong , Julian Tugaut

In this paper, we first establish well-posedness results for one-dimensional McKean-Vlasov stochastic differential equations (SDEs) and related particle systems with a measure-dependent drift coefficient that is discontinuous in the spatial…

概率论 · 数学 2024-03-29 Gunther Leobacher , Christoph Reisinger , Wolfgang Stockinger

This article investigates the propagation of chaos property for weakly interacting mild solutions to semilinear stochastic partial differential equations whose coefficients might not satisfy Lipschitz conditions. Furthermore, we derive…

概率论 · 数学 2023-07-05 David Criens

By the probabilistic coupling approach which combines a new refined basic coupling with the synchronous coupling for L\'evy processes, we obtain explicit exponential contraction rates in terms of the standard $L^1$-Wasserstein distance for…

概率论 · 数学 2024-02-20 Yao Liu , Jian Wang , Meng-ge Zhang

In this paper, we provide a general framework for investigating McKean-Vlasov stochastic partial differential equations. We first show the existence of weak solutions by combining the localizing approximation, Faedo-Galerkin technique,…

概率论 · 数学 2025-08-12 Wei Hong , Shihu Li , Wei Liu

This paper explores the rates of convergence of solutions for multivariate stochastic differential equations (SDEs) driven by L\'evy processes within the small-time stable domain of attraction (DoA). Explicit bounds are derived for the…

概率论 · 数学 2025-09-17 Jorge González Cázares , David Kramer-Bang

We introduce a new class of numerical methods for solving McKean-Vlasov stochastic differential equations, which are relevant in the context of distribution-dependent or mean-field models, under super-linear growth conditions for both the…

数值分析 · 数学 2025-02-10 Jiamin Jian , Qingshuo Song , Xiaojie Wang , Zhongqiang Zhang , Yuying Zhao

We extend the taming techniques for explicit Euler approximations of stochastic differential equations (SDEs) driven by L\'evy noise with super-linearly growing drift coefficients. Strong convergence results are presented for the case of…

概率论 · 数学 2015-01-23 Konstantinos Dareiotis , Chaman Kumar , Sotirios Sabanis

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 develop a new approach to study the long time behaviour of solutions to nonlinear stochastic differential equations in the sense of McKean, as well as propagation of chaos for the corresponding mean-field particle system approximations.…

概率论 · 数学 2022-11-15 Alain Durmus , Andreas Eberle , Arnaud Guillin , Katharina Schuh

In this paper we mainly investigate the strong and weak well-posedness of a class of McKean-Vlasov stochastic (partial) differential equations. The main existence and uniqueness results state that we only need to impose some local…

概率论 · 数学 2024-01-15 Wei Hong , Shanshan Hu , Wei Liu

We establish well-posedness for a class of systems of SDEs with non-Lipschitz coefficients in the diffusion and jump terms and with two sources of interdependence: a monotone function of all the components in the drift of each SDE and the…

概率论 · 数学 2026-03-24 Ying Jiao , Nikolaos Kolliopoulos