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相关论文: Fokker-Planck Equations for Stochastic Dynamical S…

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The Fokker-Planck equations describe time evolution of probability densities of stochastic dynamical systems and are thus widely used to quantify random phenomena such as uncertainty propagation. For dynamical systems driven by non-Gaussian…

动力系统 · 数学 2015-06-04 Xu Sun , Jinqiao Duan

Non-Gaussian L\'evy noises are present in many models for understanding underlining principles of physics, finance, biology and more. In this work, we consider the Fokker-Planck equation(FPE) due to one-dimensional asymmetric L\'evy motion,…

动力系统 · 数学 2018-03-05 Xiao Wang , Wenpeng Shang , Xiaofan Li , Jinqiao Duan , Yanghong Huang

The Fokker-Planck equations (FPEs) for stochastic systems driven by additive symmetric $\alpha$-stable noises may not adequately describe the time evolution for the probability densities of solution paths in some practical applications,…

动力系统 · 数学 2020-03-11 Yanjie Zhang , Xiao Wang , Qiao Huang , Jinqiao Duan , Tingting Li

This work is devoted to studying complex dynamical systems under non-Gaussian fluctuations. We first estimate the Kantorovich-Rubinstein distance for solutions of non-local Fokker-Planck equations associated with stochastic differential…

概率论 · 数学 2021-11-24 Ao Zhang , Jinqiao Duan

We characterize a stochastic dynamical system with tempered stable noise, by examining its probability density evolution. This probability density function satisfies a nonlocal Fokker-Planck equation. First, we prove a superposition…

动力系统 · 数学 2021-06-02 Li Lin , Jinqiao Duan , Xiao Wang , Yanjie Zhang

The fractional Fokker-Planck system with multiple internal states is derived in [Xu and Deng, Math. Model. Nat. Phenom., $\mathbf{13}$, 10 (2018)], where the space derivative is Laplace operator. If the jump length distribution of the…

数值分析 · 数学 2024-09-23 Daxin Nie , Jing Sun , Weihua Deng

Fokker-Planck equations describe time evolution of probability densities of stochastic dynamical systems and play an important role in quantifying propagation and evolution of uncertainty. Although Fokker-Planck equations can be written…

动力系统 · 数学 2016-03-17 Xu Sun , Jinqiao Duan , Xiaofan Li , Hua Liu , Xiangjun Wang , Yayun Zheng

With the rapid development of computational techniques and scientific tools, great progress of data-driven analysis has been made to extract governing laws of dynamical systems from data. Despite the wide occurrences of non-Gaussian…

动力系统 · 数学 2022-10-12 Yubin Lu , Yang Li , Jinqiao Duan

We introduce a novel spatio-temporal discretization for nonlinear Fokker-Planck equations on the multi-dimensional unit cube. This discretization is based on two structural properties of these equations: the first is the representation as a…

数值分析 · 数学 2016-01-11 Oliver Junge , Daniel Matthes , Horst Osberger

Fractional Fokker-Planck equation plays an important role in describing anomalous dynamics. To the best of our knowledge, the existing discussions mainly focus on this kind of equation involving one diffusion operator. In this paper, we…

数值分析 · 数学 2021-09-08 Jing Sun , Weihua Deng , Daxin Nie

The Fokker-Planck equation has been very useful for studying dynamic behavior of stochastic differential equations driven by Gaussian noises. In this paper, we derive a Fractional Fokker--Planck equation for the probability distribution of…

偏微分方程分析 · 数学 2009-11-10 D. Schertzer , M. Larchev , J. Duan , V. V. Yanovsky , S. Lovejoy

Kinetics of metastable systems modeled by Hamiltonians containing nonlocal and nonconservative terms is reproduced by the Fokker-Planck and imaginary time Schrodinger equation scheme with subsequent symplectic integration. Example solutions…

材料科学 · 物理学 2007-05-23 E. Klotins

This paper develops solutions of fractional Fokker-Planck equations describing subdiffusion of probability densities of stochastic dynamical systems driven by non-Gaussian L\'evy processes, with space-time-dependent drift, diffusion and…

概率论 · 数学 2016-11-29 Erkan Nane , Yinan NI

In this work, we develop novel structure-preserving numerical schemes for a class of nonlinear Fokker--Planck equations with nonlocal interactions. Such equations can cover many cases of importance, such as porous medium equations with…

数值分析 · 数学 2020-08-18 Chenghua Duan , Wenbin Chen , Chun Liu , Xingye Yue , Shenggao Zhou

Realistic models of biological processes typically involve interacting components on multiple scales, driven by changing environment and inherent stochasticity. Such models are often analytically and numerically intractable. We revisit a…

种群与进化 · 定量生物学 2022-01-19 K. Bodova , E. Szep , N. H. Barton

We consider three classes of linear non-symmetric Fokker-Planck equations having a unique steady state and establish exponential convergence of solutions towards the steady state with explicit (estimates of) decay rates. First,…

偏微分方程分析 · 数学 2023-08-21 Franz Achleitner , Anton Arnold , Dominik Stürzer

The Fokker-Planck equation has been very useful for studying dynamic behavior of stochastic differential equations driven by Gaussian noises. However, there are both theoretical and empirical reasons to consider similar equations driven by…

chao-dyn · 物理学 2007-05-23 D. Schertzer , M. Larchevêque , J. Duan , V. V. Yanovsky , S. Lovejoy

Stochastic differential equations with Levy motion arise the mathematical models for various phenomenon in geophysical and biochemical sciences. The Fokker Planck equation for such a stochastic differential equations is a nonlocal partial…

偏微分方程分析 · 数学 2020-06-08 Li Lin

Mathematical models for complex systems under random fluctuations often certain uncertain parameters. However, quantifying model uncertainty for a stochastic differential equation with an $\alpha$-stable L\'evy process is still lacking.…

动力系统 · 数学 2021-02-24 Yayun Zheng , Fang Yang , Jinqiao Duan , Jürgen Kurths

Nonlinear Fokker-Planck equations play a major role in modeling large systems of interacting particles with a proved effectiveness in describing real world phenomena ranging from classical fields such as fluids and plasma to social and…

数值分析 · 数学 2023-11-23 Giacomo Dimarco , Lorenzo Pareschi , Mattia Zanella
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