Weak Error Estimates of Ergodic Approximations for Monotone Jump-diffusion SODEs
Numerical Analysis
2026-05-11 v2 Numerical Analysis
Probability
Abstract
We first derive the exponential ergodicity of the stochastic theta method (STM) with for monotone jump-diffusion stochastic ordinary differential equations (SODEs) under a dissipative condition. Then we establish the weak error estimates of the backward Euler method (BEM), corresponding to the STM with . In particular, the time-independent estimate for the BEM in the jump-free case yields a one-order convergence rate between the exact and numerical invariant measures, answering a question left in {\it Z. Liu and Z. Liu, J. Sci. Comput. (2025) 103:87}.
Cite
@article{arxiv.2509.15698,
title = {Weak Error Estimates of Ergodic Approximations for Monotone Jump-diffusion SODEs},
author = {Zhihui Liu and Xiaoming Wu},
journal= {arXiv preprint arXiv:2509.15698},
year = {2026}
}
Comments
to appear at Commun. Math. Sci