English

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

R2 v1 2026-06-24T08:42:49.365Z