Position-dependent memory kernel in generalized Langevin equations: theory and numerical estimation
Statistical Mechanics
2022-07-07 v3 Chemical Physics
Computational Physics
Abstract
Generalized Langevin equations with non-linear forces and position-dependent linear friction memory kernels, such as commonly used to describe the effective dynamics of coarse-grained variables in molecular dynamics, are rigorously derived within the Mori-Zwanzig formalism. A fluctuation-dissipation theorem relating the properties of the noise to the memory kernel is shown. The derivation also yields Volterra-type equations for the kernel, which can be used for a numerical parametrization of the model from all-atom simulations.
Keywords
Cite
@article{arxiv.2201.02457,
title = {Position-dependent memory kernel in generalized Langevin equations: theory and numerical estimation},
author = {Hadrien Vroylandt and Pierre Monmarché},
journal= {arXiv preprint arXiv:2201.02457},
year = {2022}
}
Comments
24 pages, 4 figures