Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Journal articles
  4. Higher-order chain rules for tensor fields, generalized Bell polynomials, and estimates in Orlicz-Sobolev-Slobodeckij and total variation spaces
 
research article

Higher-order chain rules for tensor fields, generalized Bell polynomials, and estimates in Orlicz-Sobolev-Slobodeckij and total variation spaces

Licht, Martin W.  
December 22, 2023
Journal Of Mathematical Analysis And Applications

We describe higher-order chain rules for multivariate functions and tensor fields. We estimate Sobolev-Slobodeckij norms, Musielak-Orlicz norms, and the total variation seminorms of the higher derivatives of tensor fields after a change of variables and determine sufficient regularity conditions for the coordinate change. We also introduce a novel higher-order chain rule for composition chains of multivariate functions that is described via nested set partitions and generalized Bell polynomials; it is a natural extension of the Faa di Bruno formula. Our discussion uses the coordinate-free language of tensor calculus and includes Frechet-differentiable mappings between Banach spaces. (c) 2023 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons .org /licenses /by /4 .0/).

  • Details
  • Metrics
Type
research article
DOI
10.1016/j.jmaa.2023.128005
Web of Science ID

WOS:001147138000001

Author(s)
Licht, Martin W.  
Date Issued

2023-12-22

Published in
Journal Of Mathematical Analysis And Applications
Volume

534

Issue

1

Article Number

128005

Subjects

Physical Sciences

•

Bell Polynomial

•

Chain Rule

•

Bounded Variation

•

Faa Di Bruno Formula

•

Musielak-Orlicz Space

•

Sobolev-Slobodeckij Space

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
MATH  
FunderGrant Number

National Science Foundation

DMS-1439786

Available on Infoscience
February 21, 2024
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/205127
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés