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19962026
most citedFractional Fokker--Planck Equation for Nonlinear Stochastic Differential Equations Driven by Non-Gaussian Levy Stable Noises

182 citations · 1.5k across the 227 of their papers we have counts for

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Showing 2020Show all

32 papers · 1 filter

math.DS2020★ 5 cited

On the abrupt change of the maximum likelihood state in a simplified stochastic thermohaline circulation system

Fang Yang, Xu Sun, Jinqiao Duan

The maximum likelihood state for a simplified stochastic thermohaline circulation model is investigated. It is shown that a jump occurs for the maximum likelihood state during tran…

math.PR2020★ 5 cited

Onsager-Machlup action functional for stochastic partial differential equations with Levy noise

Jianyu Hu, Jinqiao Duan

This work is devoted to deriving the Onsager-Machlup action functional for stochastic partial differential equations with (non-Gaussian) Levy process as well as Gaussian Brownian m…

math.DS2020★ 4 cited

Instability of small-amplitude periodic waves from fold-Hopf bifurcation

Shuang Chen, Jinqiao Duan

We study the existence and stability of small-amplitude periodic waves emerging from fold-Hopf equilibria in a system of one reaction-diffusion equation coupled with one ordinary d…

math.AP2020

Effective Approximation for a Stochastic System with Large Potential

Ao Zhang, Jinqiao Duan

This letter is about effective approximation for a stochastic parabolic equation with a large potential in a periodic medium. Under a condition on the spectral properties of the as…

math.DS2020★ 7 cited

Quantifying model uncertainty for the observed non-Gaussian data by the Hellinger distance

Yayun Zheng, Fang Yang, Jinqiao Duan +1

Mathematical models for complex systems under random fluctuations often certain uncertain parameters. However, quantifying model uncertainty for a stochastic differential equation…

math.DS2020

Lyapunov Exponents for Hamiltonian Systems under Small Lévy Perturbations

Ying Chao, Pingyuan Wei, Jinqiao Duan

This work is to investigate the (top) Lyapunov exponent for a class of Hamiltonian systems under small non-Gaussian Lévy noise. In a suitable moving frame, the linearisation of suc…

math.AP2020

The Cauchy problem for the generalized KdV equation with rough data and random data

Wei Yan, Xiangqian Yan, Jinqiao Duan +1

In this paper, we consider the Cauchy problem for the generalized KdV equation with rough data and random data. Firstly, we prove that as $t\longrigh…

math.AP2020

Sharp well-posedness of the Cauchy problem for the rotation-modified Kadomtsev-Petviashvili equation in anisotropic Sobolev spaces

Wei Yan, Yimin Zhang, Yongsheng Li +1

We consider the Cauchy problem for the rotation-modified Kadomtsev-Petviashvili (RMKP) equation \begin{align*} \partial_{x}\left(u_{t}-β\partial_{x}^{3}u +\partial_{x}(u^{2})\right…

math.NA2020

Symplectic method for Hamiltonian stochastic differential equations with multiplicative Lévy noise in the sense of Marcus

Qingyi Zhan, Jinqiao Duan, Xiaofan Li +1

A class of Hamiltonian stochastic differential equations with multiplicative Lévy noise in the sense of Marcus, and the construction and numerical implementation methods of symplec…

math.DS2020★ 9 cited

Stochastic Bifurcation in Single-Species Model Induced by α-Stable Levy Noise

Almaz Tesfay, Daniel Tesfay, Shenglan Yuan +2

Bifurcation analysis has many applications in different scientific fields, such as electronics, biology, ecology, and economics. In population biology, deterministic methods of bif…

physics.comp-ph2020★ 11 cited

Solving Inverse Stochastic Problems from Discrete Particle Observations Using the Fokker-Planck Equation and Physics-informed Neural Networks

Xiaoli Chen, Liu Yang, Jinqiao Duan +1

The Fokker-Planck (FP) equation governing the evolution of the probability density function (PDF) is applicable to many disciplines but it requires specification of the coefficient…

math.PR2020

Linear Response Theory for Nonlinear Stochastic Differential Equations with -stable Lévy Noises

Qi Zhang, Jinqiao Duan

We consider a nonlinear stochastic differential equation driven by an -stable Lévy process (). We first obtain some regularity results for the probability density of its…

q-bio.PE2020★ 2 cited

A Logistic-Harvest Model with Allee Effect under Multiplicative Noise

Almaz Tesfay, Daniel Tesfay, James Brannan +1

This work is devoted to the study of a stochastic logistic growth model with and without the Allee effect. Such a model describes the evolution of a population under environmental…

math.DS2020★ 4 cited

Dynamics of the Tyson-Hong-Thron-Novak circadian oscillator model

Shuang Chen, Jinqiao Duan, Ji Li

We study the dynamics of a circadian oscillator model which was proposed by Tyson, Hong, Thron and Novak. This model indicates a molecular mechanism for the circadian rhythm in Dro…

math.DS2020

Weak averaging principle for multiscale stochastic dynamical systems driven by stable processes

Yanjie Zhang, Qiao Huang, Xiao Wang +2

We study the averaging principle for a family of multiscale stochastic dynamical systems. The fast and slow components of the systems are driven by two independent stable Lévy nois…

math.NA2020

Symplectic Euler scheme for Hamiltonian stochastic differential equations driven by Levy noise

Qingyi Zhan, Jinqiao Duan, Xiaofan Li

This paper proposes a general symplectic Euler scheme for a class of Hamiltonian stochastic differential equations driven by Lvy noise in the sense of Marcus form. The c…

cs.CE2020★ 11 cited

Extracting Non-Gaussian Governing Laws from Data on Mean Exit Time

Yanxia Zhang, Jinqiao Duan, Yanfei Jin +1

Motivated by the existing difficulties in establishing mathematical models and in observing the system state time series for some complex systems, especially for those driven by no…

math-ph2020★ 6 cited

Estimating the Most Probable Transition Time for Stochastic Dynamical Systems

Yuanfei Huang, Ying Chao, Wei Wei +1

This work is devoted to the investigation of the most probable transition time between metastable states for stochastic dynamical systems. Such a system is modeled by a stochastic…

math.AP2020

Pointwise convergence problem of Ostrovsky equation with rough data and random data

Wei Yan, Qiaoqiao Zhang, Jinqiao Duan +1

In this paper, we consider the pointwise convergence problem of free Ostrovsky equation with rough data and random data. Firstly, we show the almost everywhere pointwise convergenc…

math.PR2020

Analysis of multiscale methods for stochastic dynamical systems driven by -stable processes

Yanjie Zhang, Xiao Wang, Zibo Wang +1

In this paper, we first analyze the strong and weak convergence of projective integration methods for multiscale stochastic dynamical systems driven by -stable processes, which…

math.AP2020

Effective Wave Factorization for a Stochastic Schrödinger Equation

Ao Zhang, Jinqiao Duan

We study the homogenization of a stochastic Schrödinger equation with a large periodic potential in solid state physics. Denoting by the period, the potential is scal…

math.DS2020★ 2 cited

Double canard cycles in singularly perturbed planar systems with two canard points

Shuang Chen, Jinqiao Duan, Ji Li

We consider double canard cycles including two canards in singularly perturbed planar systems with two canard points. Previous work studied the complex oscillations including relax…

stat.ML2020★ 77 cited

A Data-Driven Approach for Discovering Stochastic Dynamical Systems with Non-Gaussian Levy Noise

Yang Li, Jinqiao Duan

With the rapid increase of valuable observational, experimental and simulating data for complex systems, great efforts are being devoted to discovering governing laws underlying th…

math.DS2020★ 32 cited

Detecting the maximum likelihood transition path from data of stochastic dynamic systems

Min Dai, Ting Gao, Yubin Lu +2

In recent years, the discovery of complex dynamic systems in various fields through data-driven methods has attracted widespread attention. This method has played the role of data…