activity
20242026
collaborators

7 papers

math.PR2026

Long-time Behaviour of DLRA for SDEs

Jianhai Bao, Haitao Wang, Yue Wu

We study dynamical orthogonal (DO) approximations of stochastic differential equations and investigate their long-time behaviour. The DO formulation represents the solution by a lo…

math.NA2026

Drift-Randomized Milstein-Galerkin Finite Element Method for Semilinear Stochastic Evolution Equations

Xiao Qi, Yue Wu, Yubin Yan

Kruse and Wu [Math. Comp. 88 (2019) 2793--2825] proposed a fully discrete randomized Galerkin finite element method for semilinear stochastic evolution equations (SEEs) driven by a…

cond-mat.soft2025

Mechanochemical feedback drives complex inertial dynamics in active solids

Siddhartha Sarkar, Biswarup Ash, Yueyang Wu +3

Active solids combine internal active driving with elasticity to realize states with nonequilibrium mechanics and autonomous motion. They are often studied in overdamped settings,…

math.PR2025

Randomised Euler-Maruyama Method for SDEs with Hölder Continuous Drift Coefficient Driven by -stable Lévy Process

Jianhai Bao, Haitao Wang, Yue Wu +1

In this paper, we examine the performance of randomised Euler-Maruyama (EM) method for additive time-inhomogeneous SDEs with an irregular drift driven by symmetric -table proce…

math.PR2025

Explicit positivity preserving numerical method for linear stochastic volatility models driven by -stable process

Xiaotong Li, Wei Liu, Xuerong Mao +2

In this paper, we introduce a linear stochastic volatility model driven by -stable processes, which admits a unique positive solution. To preserve positivity, we modify the cla…

math.PR2025

Randomised Euler-Maruyama method for SDEs with Hölder continuous drift coefficient

Jianhai Bao, Yue Wu

In this paper, we examine the performance of randomised Euler-Maruyama (EM) method for additive time-inhomogeneous SDEs with an irregular drift. In particular, the drift is assumed…