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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 θ(1/2,1]\theta \in (1/2,1] 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 θ=1\theta=1. 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}.

Keywords

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

R2 v1 2026-07-01T05:45:20.325Z