Stochastic Conformal Integrators for Linearly Damped Stochastic Poisson Systems
Journal article, 2026

We propose and study conformal integrators for linearly damped stochastic Poisson systems. We analyse the qualitative and quantitative properties of these numerical integrators: preservation of dynamics of certain Casimir and Hamiltonian functions, almost sure bounds of the numerical solutions, and strong and weak rates of convergence under appropriate conditions. These theoretical results are illustrated with several numerical experiments on, for example, the linearly damped free rigid body with random inertia tensor or the linearly damped stochastic Lotka–Volterra system.

Strong and weak convergence

Casimir and Hamiltonian functions

Stochastic conformal integrator

Linearly damped stochastic Poisson systems

Stochastic differential equations

Geometric numerical integration

Author

Charles-Edouard Bréhier

Universite de Pau et des Pays de L'Adour

David Cohen

Chalmers, Mathematical Sciences, Applied Mathematics and Statistics

University of Gothenburg

Yoshio Komori

Kyushu Institute of Technology

Journal of Scientific Computing

0885-7474 (ISSN) 1573-7691 (eISSN)

Vol. 106 1 17

Time-Evolving Stochastic Manifolds (StochMan)

European Commission (EC) (EC/HE/101088589), 2023-09-01 -- 2028-08-31.

Subject Categories (SSIF 2025)

Other Mechanical Engineering

Computational Mathematics

Signal Processing

Infrastructure

Chalmers e-Commons (incl. C3SE, 2020-)

DOI

10.1007/s10915-025-03097-4

More information

Latest update

12/12/2025