activity
20212026
collaborators

16 papers

math.NA2026

Semi-Lagrangian Approximation of Master Equations with Individual Noise on Finite Graphs

Jianbo Cui, Tonghe Dang

We develop and analyze a fully discrete semi-Lagrangian method for vector master equations associated with mean field games (MFGs) with individual noise on finite graphs. The metho…

math.NA2026

Convergence and variational structure of a staggered scheme for mean field games with individual noise on graphs

Jianbo Cui, Tonghe Dang

We propose and analyze a time-staggered numerical scheme for mean field game (MFG) systems with individual noise on finite graphs. Numerically solving such coupled forward--backwar…

math.NA2026

First-Order Convergence of Monotone Schemes for Hamilton--Jacobi Equations on the Wasserstein Space on Graphs

Jianbo Cui, Tonghe Dang

We prove first-order convergence of semi-discrete monotone finite difference schemes for Hamilton--Jacobi equations on the Wasserstein space over a finite graph. A central challeng…

math.PR2026

Quantifying the effect of graph structure on strong Feller property of SPDEs

Jianbo Cui, Tonghe Dang, Jialin Hong +1

This paper investigates how the structure of the underlying graph influences the behavior of stochastic partial differential equations (SPDEs) on finite tree graphs, where each edg…

math.OC2025

Hamilton--Jacobi--Bellman equation for optimal control of stochastic Wasserstein--Hamiltonian system on graphs

Jianbo Cui, Tonghe Dang

Stochastic optimal control problems for Hamiltonian dynamics on graphs have wide-ranging applications in mechanics and quantum field theory, particularly in systems with graph-base…

math.NA2025

Finite difference schemes for Hamilton--Jacobi equation on Wasserstein space on graphs

Jianbo Cui, Tonghe Dang, Chenchen Mou

This work proposes and studies numerical schemes for initial value problems of Hamilton--Jacobi equations (HJEs) with a graph individual noise on the Wasserstein space on graphs. N…

math.NA2024

-strong convergence orders of fully discrete schemes for the SPDE driven by Lévy noise

Chuchu Chen, Tonghe Dang, Jialin Hong +1

It is well known that for a stochastic differential equation driven by Lévy noise, the temporal Hölder continuity in sense of the exact solution does not exceed . This l…

math.NA2024

A new class of splitting methods that preserve ergodicity and exponential integrability for stochastic Langevin equation

Chuchu Chen, Tonghe Dang, Jialin Hong +1

In this paper, we propose a new class of splitting methods to solve the stochastic Langevin equation, which can simultaneously preserve the ergodicity and exponential integrability…

math.NA2024

On structure preservation for fully discrete finite difference schemes of stochastic heat equation with Lévy space-time white noise

Chuchu Chen, Tonghe Dang, Jialin Hong

This paper investigates the structure preservation and convergence analysis of a class of fully discrete finite difference schemes for the stochastic heat equation driven by Lévy s…

math.NA2024

Superiority of stochastic symplectic methods via the law of iterated logarithm

Chuchu Chen, Xinyu Chen, Tonghe Dang +1

The superiority of stochastic symplectic methods over non-symplectic counterparts has been verified by plenty of numerical experiments, especially in capturing the asymptotic behav…

math.NA2024

Longtime behaviors of -Euler-Maruyama method for stochastic functional differential equations

Chuchu Chen, Tonghe Dang, Jialin Hong +1

This paper investigates longtime behaviors of the -Euler-Maruyama method for the stochastic functional differential equation with superlinearly growing coefficients. We focus on…

math.PR2023

Probabilistic limit behaviors of numerical discretizations for time-homogeneous Markov processes

Chuchu Chen, Tonghe Dang, Jialin Hong +1

In order to give quantitative estimates for approximating the ergodic limit, we investigate probabilistic limit behaviors of time-averaging estimators of numerical discretizations…

math.NA2022

An adaptive time-stepping fully discrete scheme for stochastic NLS equation: Strong convergence and numerical asymptotics

Chuchu Chen, Tonghe Dang, Jialin Hong

In this paper, we propose and analyze an adaptive time-stepping fully discrete scheme which possesses the optimal strong convergence order for the stochastic nonlinear Schrödinger…

math.PR2022

Central limit theorem for full discretization of parabolic SPDE

Chuchu Chen, Tonghe Dang, Jialin Hong +1

In order to characterize the fluctuation between the ergodic limit and the time-averaging estimator of a full discretization in a quantitative way, we establish a central limit the…

math.NA2021

Strong convergence of adaptive time-stepping schemes for the stochastic Allen--Cahn equation

Chuchu Chen, Tonghe Dang, Jialin Hong

It is known in \cite{beccari} that the standard explicit Euler-type scheme (such as the exponential Euler and the linear-implicit Euler schemes) with a uniform timestep, though com…

math.NA2021

Weak intermittency and second moment bound of a fully discrete scheme for stochastic heat equation

Chuchu Chen, Tonghe Dang, Jialin Hong

In this paper, we first prove the weak intermittency, and in particular the sharp exponential order of the second moment of the exact solution of the stochastic heat equati…