Currently displaying 1 – 2 of 2

Showing per page

Order by Relevance | Title | Year of publication

Measuring the Irreversibility of Numerical Schemes for Reversible Stochastic Differential Equations

Markos KatsoulakisYannis PantazisLuc Rey-Bellet — 2014

ESAIM: Mathematical Modelling and Numerical Analysis - Modélisation Mathématique et Analyse Numérique

For a stationary Markov process the detailed balance condition is equivalent to the time-reversibility of the process. For stochastic differential equations (SDE’s), the time discretization of numerical schemes usually destroys the time-reversibility property. Despite an extensive literature on the numerical analysis for SDE’s, their stability properties, strong and/or weak error estimates, large deviations and infinite-time estimates, no quantitative results are known on the lack of reversibility...

Coarse-graining schemes and error estimates for stochastic lattice systems

Markos A. KatsoulakisPetr PlecháčLuc Rey-BelletDimitrios K. Tsagkarogiannis — 2007

ESAIM: Mathematical Modelling and Numerical Analysis

The primary objective of this work is to develop coarse-graining schemes for stochastic many-body microscopic models and quantify their effectiveness in terms of and error analysis. In this paper we focus on stochastic lattice systems of interacting particles at equilibrium. The proposed algorithms are derived from an initial coarse-grained approximation that is directly computable by Monte Carlo simulations, and the corresponding numerical error is calculated using the specific relative entropy...

Page 1

Download Results (CSV)