Functional equivariance and modified vector fields

Fuente: arXiv
Guardado en:
Detalles Bibliográficos
Autores principales: Stern, Ari, Suri, Sanah
Formato: Preprint
Publicado: 2023
Materias:
Acceso en línea:
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
_version_ 1866910974226726912
author Stern, Ari
Suri, Sanah
author_facet Stern, Ari
Suri, Sanah
contents This paper examines functional equivariance, recently introduced by McLachlan and Stern [Found. Comput. Math. (2022)], from the perspective of backward error analysis. We characterize the evolution of certain classes of observables (especially affine and quadratic) by structure-preserving numerical integrators in terms of their modified vector fields. Several results on invariant preservation and symplecticity of modified vector fields are thereby generalized to describe the numerical evolution of non-invariant observables.
format Preprint
id arxiv_https___arxiv_org_abs_2307_01822
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Functional equivariance and modified vector fields
Stern, Ari
Suri, Sanah
Numerical Analysis
37M15
This paper examines functional equivariance, recently introduced by McLachlan and Stern [Found. Comput. Math. (2022)], from the perspective of backward error analysis. We characterize the evolution of certain classes of observables (especially affine and quadratic) by structure-preserving numerical integrators in terms of their modified vector fields. Several results on invariant preservation and symplecticity of modified vector fields are thereby generalized to describe the numerical evolution of non-invariant observables.
title Functional equivariance and modified vector fields
topic Numerical Analysis
37M15
url https://arxiv.org/abs/2307.01822