Weak Error Estimates of Ergodic Approximations for Monotone Jump-diffusion SODEs

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Liu, Zhihui, Wu, Xiaoming
Format: Preprint
Published: 2025
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866914541272563712
author Liu, Zhihui
Wu, Xiaoming
author_facet Liu, Zhihui
Wu, Xiaoming
contents We first derive the exponential ergodicity of the stochastic theta method (STM) with $θ\in (1/2,1]$ 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 $θ=1$. 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}.
format Preprint
id arxiv_https___arxiv_org_abs_2509_15698
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Weak Error Estimates of Ergodic Approximations for Monotone Jump-diffusion SODEs
Liu, Zhihui
Wu, Xiaoming
Numerical Analysis
Probability
60H35, 37M25, 65C30
We first derive the exponential ergodicity of the stochastic theta method (STM) with $θ\in (1/2,1]$ 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 $θ=1$. 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}.
title Weak Error Estimates of Ergodic Approximations for Monotone Jump-diffusion SODEs
topic Numerical Analysis
Probability
60H35, 37M25, 65C30
url https://arxiv.org/abs/2509.15698