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Main Authors: Su, Fang, Wang, Xue, Pa, Xia
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2510.24311
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author Su, Fang
Wang, Xue
Pa, Xia
author_facet Su, Fang
Wang, Xue
Pa, Xia
contents This paper focuses on the numerical approximation of random lattice reversible Selkov systems. It establishes the existence of numerical invariant measures for random models with nonlinear noise, using the backward Euler-Maruyama (BEM) scheme for time discretization. The study examines both infinite dimensional discrete random models and their corresponding finite dimensional truncations. A classical path convergence technique is employed to demonstrate the convergence of the invariant measures of the BEM scheme to those of the random lattice reversible Selkov systems. As the discrete time step size approaches zero, the invariant measure of the random lattice reversible Selkov systems can be approximated by the numerical invariant measure of the finite dimensional truncated systems.
format Preprint
id arxiv_https___arxiv_org_abs_2510_24311
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Approximation of invariant measures for random lattice reversible Selkov systems
Su, Fang
Wang, Xue
Pa, Xia
Numerical Analysis
This paper focuses on the numerical approximation of random lattice reversible Selkov systems. It establishes the existence of numerical invariant measures for random models with nonlinear noise, using the backward Euler-Maruyama (BEM) scheme for time discretization. The study examines both infinite dimensional discrete random models and their corresponding finite dimensional truncations. A classical path convergence technique is employed to demonstrate the convergence of the invariant measures of the BEM scheme to those of the random lattice reversible Selkov systems. As the discrete time step size approaches zero, the invariant measure of the random lattice reversible Selkov systems can be approximated by the numerical invariant measure of the finite dimensional truncated systems.
title Approximation of invariant measures for random lattice reversible Selkov systems
topic Numerical Analysis
url https://arxiv.org/abs/2510.24311