5 papers
Symplectic methods for stochastic Hamiltonian systems: asymptotic error distributions and Hamiltonian-specific analysis
Chuchu Chen, Xinyu Chen, Jialin Hong +1
In this paper, we investigate the asymptotic error distributions of symplectic methods for stochastic Hamiltonian systems and further provide Hamiltonian-specific analysis that cla…
The law of iterated logarithm for numerical approximation of time-homogeneous Markov process
Chuchu Chen, Xinyu Chen, Jialin Hong
The law of the iterated logarithm (LIL) for the time-homogeneous Markov process with a unique invariant measure characterizes the almost sure maximum possible fluctuation of time a…
Random attractor and SRB measure for stochastic Hopf bifurcation under discretization
Chuchu Chen, Jialin Hong, Yibo Wang
Chaotic phases in stochastic differential equations are characterized by two essential long-time dynamical features: a random attractor capturing asymptotic geometry and a Sinai-Ru…
-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…
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…